diff --git a/README.md b/README.md
index 6199974..a242825 100644
--- a/README.md
+++ b/README.md
@@ -32,7 +32,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.7M
## Contents
- [Machine Learning Frameworks](#machine-learning-frameworks) _63 projects_
-- [Data Visualization](#data-visualization) _54 projects_
+- [Data Visualization](#data-visualization) _55 projects_
- [Text Data & NLP](#text-data--nlp) _103 projects_
- [Image Data](#image-data) _64 projects_
- [Graph Data](#graph-data) _36 projects_
@@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯55 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 430K Β· π 45K - 13% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.7K Β· π 74K Β· π¦ 440K Β· π 45K - 13% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 20M / month Β· π¦ 8.1K Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 22M / month Β· π¦ 8.1K Β· β±οΈ 25.10.2024):
```
pip install tensorflow
```
@@ -114,14 +114,14 @@ _General-purpose machine learning and deep learning frameworks._
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 79M Β· β 2.6K Β· β±οΈ 28.11.2024):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 79M Β· β 2.6K Β· β±οΈ 05.12.2024):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯55 Β· β 85K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.3K Β· π 23K Β· π₯ 67K Β· π¦ 580K Β· π 48K - 32% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.3K Β· π 23K Β· π₯ 68K Β· π¦ 580K Β· π 48K - 32% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/pytorch/pytorch
@@ -137,23 +137,23 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯53 Β· β 60K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 970K Β· π 12K - 17% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.2K Β· π 25K Β· π₯ 1K Β· π¦ 970K Β· π 12K - 17% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 82M / month Β· π¦ 26K Β· β±οΈ 15.11.2024):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 81M / month Β· π¦ 26K Β· β±οΈ 15.11.2024):
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 32M Β· β±οΈ 15.11.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 33M Β· β±οΈ 15.11.2024):
```
conda install -c conda-forge scikit-learn
```
Keras (π₯48 Β· β 62K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 19K Β· π 12K - 2% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 19K Β· π 12K - 2% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/keras-team/keras
@@ -167,46 +167,14 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge keras
```
XGBoost (π₯46 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 12K Β· π¦ 120K Β· π 5.4K - 8% open Β· β±οΈ 27.11.2024):
-
- ```
- git clone https://github.com/dmlc/xgboost
- ```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 27M / month Β· π¦ 2.1K Β· β±οΈ 26.11.2024):
- ```
- pip install xgboost
- ```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 5.5M Β· β±οΈ 27.11.2024):
- ```
- conda install -c conda-forge xgboost
- ```
-PySpark (π₯45 Β· β 40K) - Apache Spark Python API. Apache-2 
-
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 28.11.2024):
-
- ```
- git clone https://github.com/apache/spark
- ```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 31M / month Β· π¦ 1.6K Β· β±οΈ 25.10.2024):
- ```
- pip install pyspark
- ```
-- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.5M Β· β±οΈ 24.10.2024):
- ```
- conda install -c conda-forge pyspark
- ```
-jax (π₯45 Β· β 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 790 Β· π 2.8K Β· π¦ 33K Β· π 5.7K - 25% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 800 Β· π 2.8K Β· π¦ 34K Β· π 5.8K - 25% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 4.6M / month Β· π¦ 1.9K Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/jax) (π₯ 4.5M / month Β· π¦ 1.9K Β· β±οΈ 22.10.2024):
```
pip install jax
```
@@ -217,12 +185,12 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (π₯45 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.6K Β· π₯ 15K Β· π¦ 6.4K Β· π 19K - 9% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.6K Β· π₯ 15K Β· π¦ 6.5K Β· π 19K - 9% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 330K / month Β· π¦ 190 Β· β±οΈ 01.11.2024):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 320K / month Β· π¦ 190 Β· β±οΈ 01.11.2024):
```
pip install paddlepaddle
```
@@ -234,7 +202,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 17M / month Β· π¦ 4.5K Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 16M / month Β· π¦ 4.5K Β· β±οΈ 03.10.2024):
```
pip install statsmodels
```
@@ -243,30 +211,46 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge statsmodels
```
pytorch-lightning (π₯44 Β· β 29K Β· π) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
+PySpark (π₯44 Β· β 40K) - Apache Spark Python API. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 980 Β· π 3.4K Β· π₯ 10K Β· π¦ 39K Β· π 7.2K - 11% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/Lightning-AI/lightning
+ git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 7.3M / month Β· π¦ 1.4K Β· β±οΈ 07.08.2024):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 31M / month Β· π¦ 1.6K Β· β±οΈ 25.10.2024):
```
- pip install pytorch-lightning
+ pip install pyspark
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.4M Β· β±οΈ 07.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pyspark) (π₯ 3.6M Β· β±οΈ 24.10.2024):
```
- conda install -c conda-forge pytorch-lightning
+ conda install -c conda-forge pyspark
+ ```
+XGBoost (π₯43 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
+
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 650 Β· π 8.7K Β· π₯ 12K Β· π¦ 120K Β· π 5.4K - 8% open Β· β±οΈ 05.12.2024):
+
+ ```
+ git clone https://github.com/dmlc/xgboost
+ ```
+- [PyPi](https://pypi.org/project/xgboost) (π¦ 2.1K Β· β±οΈ 26.11.2024):
+ ```
+ pip install xgboost
+ ```
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 5.5M Β· β±οΈ 03.12.2024):
+ ```
+ conda install -c conda-forge xgboost
```
Catboost (π₯43 Β· β 8.1K Β· π) - A fast, scalable, high performance Gradient Boosting on.. Apache-2
+Catboost (π₯43 Β· β 8.1K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 330K Β· π¦ 15 Β· π 2.4K - 24% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 330K Β· π¦ 15 Β· π 2.4K - 24% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 3.9M / month Β· π¦ 540 Β· β±οΈ 07.09.2024):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 3.8M / month Β· π¦ 540 Β· β±οΈ 07.09.2024):
```
pip install catboost
```
@@ -275,9 +259,9 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge catboost
```
LightGBM (π₯42 Β· β 17K Β· π) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT
+LightGBM (π₯42 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 240K Β· π¦ 41K Β· π 3.5K - 10% open Β· β±οΈ 15.11.2024):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 240K Β· π¦ 41K Β· π 3.5K - 10% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/microsoft/LightGBM
@@ -291,44 +275,44 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge lightgbm
```
Fastai (π₯41 Β· β 26K) - The fastai deep learning library. Apache-2
+pytorch-lightning (π₯41 Β· β 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 20K Β· π 1.8K - 12% open Β· β±οΈ 17.11.2024):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 980 Β· π 3.4K Β· π₯ 11K Β· π¦ 39K Β· π 7.2K - 11% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/fastai/fastai
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 660K / month Β· π¦ 310 Β· β±οΈ 19.10.2024):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π¦ 1.4K Β· β±οΈ 07.08.2024):
```
- pip install fastai
+ pip install pytorch-lightning
+ ```
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.4M Β· β±οΈ 07.08.2024):
+ ```
+ conda install -c conda-forge pytorch-lightning
```
PyFlink (π₯39 Β· β 24K) - Apache Flink Python API. Apache-2
+Fastai (π₯41 Β· β 26K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 20K Β· π 1.8K - 12% open Β· β±οΈ 17.11.2024):
```
- git clone https://github.com/apache/flink
+ git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 3.3M / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 640K / month Β· π¦ 310 Β· β±οΈ 19.10.2024):
```
- pip install apache-flink
+ pip install fastai
```
Flax (π₯38 Β· β 6.2K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
+PyFlink (π₯39 Β· β 24K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/google/flax) (π¨βπ» 250 Β· π 650 Β· π₯ 55 Β· π¦ 10K Β· π 1.1K - 29% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 13K Β· π¦ 21 Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/google/flax
- ```
-- [PyPi](https://pypi.org/project/flax) (π₯ 910K / month Β· π¦ 490 Β· β±οΈ 19.11.2024):
- ```
- pip install flax
+ git clone https://github.com/apache/flink
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 79K Β· β±οΈ 20.11.2024):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 4.9M / month Β· π¦ 35 Β· β±οΈ 01.08.2024):
```
- conda install -c conda-forge flax
+ pip install apache-flink
```
Jina (π₯37 Β· β 21K) - Build multimodal AI applications with cloud-native stack. Apache-2
@@ -338,11 +322,11 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 110K / month Β· π¦ 27 Β· β±οΈ 08.11.2024):
+- [PyPi](https://pypi.org/project/jina) (π₯ 98K / month Β· π¦ 27 Β· β±οΈ 08.11.2024):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 80K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 81K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
@@ -351,14 +335,14 @@ _General-purpose machine learning and deep learning frameworks._
docker pull jinaai/jina
```
Theano (π₯37 Β· β 9.9K Β· π€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
+Theano (π₯36 Β· β 9.9K Β· π€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
- [GitHub](https://github.com/Theano/Theano) (π¨βπ» 390 Β· π 2.5K Β· π¦ 16K Β· π 2.8K - 25% open Β· β±οΈ 15.01.2024):
```
git clone https://github.com/Theano/Theano
```
-- [PyPi](https://pypi.org/project/theano) (π₯ 92K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π¦ 170 Β· β±οΈ 27.07.2020):
```
pip install theano
```
@@ -367,14 +351,14 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge theano
```
einops (π₯36 Β· β 8.5K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
+einops (π₯36 Β· β 8.6K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 31 Β· π 350 Β· π¦ 52K Β· π 180 - 16% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 31 Β· π 350 Β· π¦ 53K Β· π 180 - 16% open Β· β±οΈ 19.11.2024):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 5.6M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/einops) (π₯ 5.4M / month Β· π¦ 2K Β· β±οΈ 28.04.2024):
```
pip install einops
```
@@ -383,80 +367,84 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge einops
```
Thinc (π₯36 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
+Vowpal Wabbit (π₯35 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 64 Β· π 280 Β· π₯ 400 Β· π¦ 57K Β· π 150 - 14% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/explosion/thinc
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 13M / month Β· π¦ 140 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 190K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
- pip install thinc
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 3.2M Β· β±οΈ 24.11.2024):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 250K Β· β±οΈ 27.11.2024):
```
- conda install -c conda-forge thinc
+ conda install -c conda-forge vowpalwabbit
```
Vowpal Wabbit (π₯35 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Flax (π₯35 Β· β 6.2K) - Flax is a neural network library for JAX that is designed for.. Apache-2
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 250 Β· π 650 Β· π₯ 55 Β· π¦ 11K Β· π 1.1K - 29% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 190K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/flax) (π¦ 490 Β· β±οΈ 19.11.2024):
```
- pip install vowpalwabbit
+ pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 250K Β· β±οΈ 27.11.2024):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 80K Β· β±οΈ 20.11.2024):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c conda-forge flax
```
mlpack (π₯35 Β· β 5.1K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+Thinc (π₯35 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 64 Β· π 280 Β· π₯ 400 Β· π¦ 57K Β· π 150 - 14% open Β· β±οΈ 30.09.2024):
```
- git clone https://github.com/mlpack/mlpack
+ git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 9.4K / month Β· π¦ 4 Β· β±οΈ 20.09.2024):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 13M / month Β· π¦ 140 Β· β±οΈ 01.10.2024):
```
- pip install mlpack
+ pip install thinc
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 270K Β· β±οΈ 22.09.2024):
+- [Conda](https://anaconda.org/conda-forge/thinc) (π₯ 3.2M Β· β±οΈ 03.12.2024):
```
- conda install -c conda-forge mlpack
+ conda install -c conda-forge thinc
```
Ignite (π₯35 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
+mlpack (π₯34 Β· β 5.1K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 700 Β· π 620 Β· π¦ 3.4K Β· π 1.4K - 11% open Β· β±οΈ 24.11.2024):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/pytorch/ignite
+ git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 190K / month Β· π¦ 100 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/mlpack) (π¦ 4 Β· β±οΈ 20.09.2024):
```
- pip install pytorch-ignite
+ pip install mlpack
```
-- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 210K Β· β±οΈ 13.08.2024):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 280K Β· β±οΈ 22.09.2024):
```
- conda install -c pytorch ignite
+ conda install -c conda-forge mlpack
```
Ludwig (π₯33 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
+Ignite (π₯33 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 280 Β· π 1.1K - 4% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 710 Β· π 620 Β· π¦ 3.4K Β· π 1.4K - 11% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/ludwig-ai/ludwig
+ git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 2.2K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π¦ 100 Β· β±οΈ 05.12.2024):
```
- pip install ludwig
+ pip install pytorch-ignite
+ ```
+- [Conda](https://anaconda.org/pytorch/ignite) (π₯ 210K Β· β±οΈ 13.08.2024):
+ ```
+ conda install -c pytorch ignite
```
Sonnet (π₯31 Β· β 9.8K) - TensorFlow-based neural network library. Apache-2
@@ -470,71 +458,47 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 36K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 37K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sonnet
```
dyNET (π₯31 Β· β 3.4K Β· π€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
-
-- [GitHub](https://github.com/clab/dynet) (π¨βπ» 160 Β· π 700 Β· π₯ 18K Β· π¦ 270 Β· π 950 - 29% open Β· β±οΈ 08.11.2023):
-
- ```
- git clone https://github.com/clab/dynet
- ```
-- [PyPi](https://pypi.org/project/dyNET) (π₯ 280K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
- ```
- pip install dyNET
- ```
-Determined (π₯31 Β· β 3K) - Determined is an open-source machine learning platform.. Apache-2
+Ludwig (π₯30 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 11K Β· π 450 - 21% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 280 Β· π 1.1K - 4% open Β· β±οΈ 17.10.2024):
```
- git clone https://github.com/determined-ai/determined
+ git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 26K / month Β· π¦ 4 Β· β±οΈ 22.11.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π¦ 6 Β· β±οΈ 30.07.2024):
```
- pip install determined
+ pip install ludwig
```
Haiku (π₯31 Β· β 2.9K) - JAX-based neural network library. Apache-2
+Geomstats (π₯30 Β· β 1.3K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 83 Β· π 230 Β· π¦ 2.2K Β· π 250 - 29% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 93 Β· π 240 Β· π¦ 130 Β· π 570 - 36% open Β· β±οΈ 30.11.2024):
```
- git clone https://github.com/deepmind/dm-haiku
- ```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 300K / month Β· π¦ 180 Β· β±οΈ 16.10.2024):
- ```
- pip install dm-haiku
- ```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 25K Β· β±οΈ 23.10.2024):
- ```
- conda install -c conda-forge dm-haiku
+ git clone https://github.com/geomstats/geomstats
```
-tensorflow-upstream (π₯31 Β· β 690) - TensorFlow ROCm port. Apache-2
-
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 95 Β· π₯ 25 Β· π 380 - 22% open Β· β±οΈ 19.11.2024):
-
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.3K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ pip install geomstats
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 5.2K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 4.3K Β· β±οΈ 10.09.2024):
```
- pip install tensorflow-rocm
+ conda install -c conda-forge geomstats
```
skorch (π₯30 Β· β 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3
+skorch (π₯29 Β· β 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3
- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 390 Β· π¦ 1.5K Β· π 520 - 11% open Β· β±οΈ 05.11.2024):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 150K / month Β· π¦ 85 Β· β±οΈ 27.05.2024):
+- [PyPi](https://pypi.org/project/skorch) (π¦ 85 Β· β±οΈ 27.05.2024):
```
pip install skorch
```
@@ -543,25 +507,37 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge skorch
```
Geomstats (π₯30 Β· β 1.3K) - Computations and statistics on manifolds with geometric structures. MIT
+Determined (π₯29 Β· β 3K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 93 Β· π 240 Β· π¦ 130 Β· π 570 - 36% open Β· β±οΈ 12.11.2024):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 11K Β· π 450 - 21% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/geomstats/geomstats
+ git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.3K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
+- [PyPi](https://pypi.org/project/determined) (π¦ 4 Β· β±οΈ 22.11.2024):
```
- pip install geomstats
+ pip install determined
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 4.2K Β· β±οΈ 10.09.2024):
+Haiku (π₯29 Β· β 2.9K) - JAX-based neural network library. Apache-2
+
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 84 Β· π 230 Β· π¦ 2.2K Β· π 250 - 29% open Β· β±οΈ 05.12.2024):
+
```
- conda install -c conda-forge geomstats
+ git clone https://github.com/deepmind/dm-haiku
+ ```
+- [PyPi](https://pypi.org/project/dm-haiku) (π¦ 180 Β· β±οΈ 16.10.2024):
+ ```
+ pip install dm-haiku
+ ```
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 25K Β· β±οΈ 23.10.2024):
+ ```
+ conda install -c conda-forge dm-haiku
```
Neural Network Libraries (π₯29 Β· β 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 980 Β· π 95 - 36% open Β· β±οΈ 15.11.2024):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 990 Β· π 95 - 36% open Β· β±οΈ 15.11.2024):
```
git clone https://github.com/sony/nnabla
@@ -571,16 +547,16 @@ _General-purpose machine learning and deep learning frameworks._
pip install nnabla
```
ktrain (π₯28 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
+NuPIC (π₯28 Β· β 6.3K Β· π) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 560 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+- [GitHub](https://github.com/numenta/nupic-legacy) (π¨βπ» 120 Β· π 1.6K Β· π₯ 13 Β· π¦ 21 Β· π 1.8K - 25% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/numenta/nupic
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+- [PyPi](https://pypi.org/project/nupic) (π₯ 2.8K / month Β· β±οΈ 01.09.2016):
```
- pip install ktrain
+ pip install nupic
```
EvaDB (π₯27 Β· β 2.6K Β· π€) - Database system for AI-powered apps. Apache-2
@@ -590,25 +566,33 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 1.9K / month Β· β±οΈ 19.11.2023):
+- [PyPi](https://pypi.org/project/evadb) (β±οΈ 19.11.2023):
```
pip install evadb
```
pyRiemann (π₯27 Β· β 640) - Machine learning for multivariate data through the Riemannian.. BSD-3
+ktrain (π₯27 Β· β 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 35 Β· π 160 Β· π¦ 410 Β· π 110 - 4% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 560 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
```
- git clone https://github.com/pyRiemann/pyRiemann
+ git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 34K / month Β· π¦ 28 Β· β±οΈ 03.10.2024):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 9.8K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
```
- pip install pyriemann
+ pip install ktrain
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 8.9K Β· β±οΈ 04.10.2024):
+tensorflow-upstream (π₯27 Β· β 690) - TensorFlow ROCm port. Apache-2
+
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.7K Β· π 95 Β· π₯ 26 Β· π 380 - 19% open Β· β±οΈ 02.12.2024):
+
```
- conda install -c conda-forge pyriemann
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π¦ 9 Β· β±οΈ 10.01.2024):
+ ```
+ pip install tensorflow-rocm
```
Towhee (π₯26 Β· β 3.2K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
@@ -639,16 +623,20 @@ _General-purpose machine learning and deep learning frameworks._
docker pull shogun/shogun
```
Neural Tangents (π₯24 Β· β 2.3K Β· π€) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+pyRiemann (π₯25 Β· β 640) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 520 Β· π¦ 120 Β· π 160 - 38% open Β· β±οΈ 01.03.2024):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 36 Β· π 160 Β· π¦ 410 Β· π 110 - 4% open Β· β±οΈ 28.11.2024):
```
- git clone https://github.com/google/neural-tangents
+ git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
+- [PyPi](https://pypi.org/project/pyriemann) (π¦ 28 Β· β±οΈ 03.10.2024):
```
- pip install neural-tangents
+ pip install pyriemann
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 9K Β· β±οΈ 04.10.2024):
+ ```
+ conda install -c conda-forge pyriemann
```
fklearn (π₯24 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
@@ -658,19 +646,19 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.4K / month Β· β±οΈ 14.08.2024):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.3K / month Β· β±οΈ 14.08.2024):
```
pip install fklearn
```
Runhouse (π₯24 Β· β 980) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2
-- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 58 Β· π 51 - 17% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 15 Β· π 35 Β· π₯ 58 Β· π 51 - 17% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/runhouse) (π₯ 26K / month Β· π¦ 1 Β· β±οΈ 13.11.2024):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 32K / month Β· π¦ 1 Β· β±οΈ 13.11.2024):
```
pip install runhouse
```
@@ -682,7 +670,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 2.2K / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 2.3K / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
@@ -707,6 +695,18 @@ _General-purpose machine learning and deep learning frameworks._
git clone https://github.com/XiaoMi/mace
```
Neural Tangents (π₯21 Β· β 2.3K Β· π€) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 520 Β· π¦ 120 Β· π 160 - 38% open Β· β±οΈ 01.03.2024):
+
+ ```
+ git clone https://github.com/google/neural-tangents
+ ```
+- [PyPi](https://pypi.org/project/neural-tangents) (π¦ 1 Β· β±οΈ 11.12.2023):
+ ```
+ pip install neural-tangents
+ ```
+Objax (π₯21 Β· β 770 Β· π€) - Objax is a machine learning framework that provides an Object.. Apache-2
- [GitHub](https://github.com/google/objax) (π¨βπ» 26 Β· π 78 Β· π¦ 62 Β· π 110 - 45% open Β· β±οΈ 27.01.2024):
@@ -719,28 +719,28 @@ _General-purpose machine learning and deep learning frameworks._
pip install objax
```
NeoML (π₯21 Β· β 770) - Machine learning framework for both deep learning and traditional.. Apache-2
+Torchbearer (π₯21 Β· β 640 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 2 Β· π 91 - 40% open Β· β±οΈ 30.09.2024):
+- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 94 Β· π 250 - 4% open Β· β±οΈ 04.12.2023):
```
- git clone https://github.com/neoml-lib/neoml
+ git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 830 / month Β· β±οΈ 26.12.2023):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 820 / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
```
- pip install neoml
+ pip install torchbearer
```
Torchbearer (π₯21 Β· β 640 Β· π€) - torchbearer: A model fitting library for PyTorch. MIT
+NeoML (π₯19 Β· β 770) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/pytorchbearer/torchbearer) (π¨βπ» 14 Β· π 68 Β· π¦ 94 Β· π 250 - 4% open Β· β±οΈ 04.12.2023):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 2 Β· π 91 - 40% open Β· β±οΈ 30.09.2024):
```
- git clone https://github.com/pytorchbearer/torchbearer
+ git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 990 / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
+- [PyPi](https://pypi.org/project/neoml) (β±οΈ 26.12.2023):
```
- pip install torchbearer
+ pip install neoml
```
ThunderGBM (π₯19 Β· β 700 Β· π€) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2
@@ -750,7 +750,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 2.8K / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 2.7K / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
@@ -758,22 +758,22 @@ _General-purpose machine learning and deep learning frameworks._
Show 17 hidden projects...
- dlib (π₯40 Β· β 14K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
-- MXNet (π₯38 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
βοΈIntel-ACPI
-- Chainer (π₯34 Β· β 5.9K Β· π) - A flexible framework of neural networks for deep learning. MIT
-- MindsDB (π₯33 Β· β 27K) - Platform for building AI that can learn and answer.. βοΈMulanPSL-1.0 BSD-3
-- tensorpack (π₯32 Β· β 6.3K Β· π) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 Apache-2 βοΈMulanPSL-1.0 MIT MIT
-- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
-- NuPIC (π₯27 Β· β 6.3K Β· π) - Numenta Platform for Intelligent Computing is an implementation.. βοΈAGPL-3.0
+- Chainer (π₯31 Β· β 5.9K Β· π) - A flexible framework of neural networks for deep learning. MIT
+- dyNET (π₯31 Β· β 3.4K Β· π) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
+- tensorpack (π₯30 Β· β 6.3K Β· π) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 BSD-3
+- CNTK (π₯28 Β· β 18K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
+- Lasagne (π₯25 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
- NeuPy (π₯25 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
- xLearn (π₯24 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
-- neon (π₯23 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- elegy (π₯20 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT Apache-2
+- elegy (π₯19 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT MIT
-- nanodl (π₯15 Β· β 280) - A Jax-based library for designing and training transformer models from.. MIT MIT
@@ -783,41 +783,41 @@ _General-purpose machine learning and deep learning frameworks._
_General-purpose and task-specific data visualization libraries._
-Matplotlib (π₯48 Β· β 20K) - matplotlib: plotting with Python. βUnlicensed
+Matplotlib (π₯46 Β· β 20K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.7K Β· π¦ 1.4M Β· π 11K - 14% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.7K Β· π¦ 1.4M Β· π 11K - 14% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 71M / month Β· π¦ 51K Β· β±οΈ 01.11.2024):
+- [PyPi](https://pypi.org/project/matplotlib) (π¦ 52K Β· β±οΈ 30.11.2024):
```
pip install matplotlib
```
-- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 27M Β· β±οΈ 08.11.2024):
+- [Conda](https://anaconda.org/conda-forge/matplotlib) (π₯ 27M Β· β±οΈ 02.12.2024):
```
conda install -c conda-forge matplotlib
```
Bokeh (π₯45 Β· β 19K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 700 Β· π 4.2K Β· π¦ 95K Β· π 7.8K - 10% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 700 Β· π 4.2K Β· π¦ 95K Β· π 7.8K - 10% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.5M / month Β· π¦ 1.8K Β· β±οΈ 06.11.2024):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.3M / month Β· π¦ 1.8K Β· β±οΈ 03.12.2024):
```
pip install bokeh
```
-- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 15M Β· β±οΈ 07.11.2024):
+- [Conda](https://anaconda.org/conda-forge/bokeh) (π₯ 15M Β· β±οΈ 03.12.2024):
```
conda install -c conda-forge bokeh
```
Plotly (π₯45 Β· β 16K) - The interactive graphing library for Python This project now includes.. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.6K Β· π¦ 330K Β· π 3.1K - 18% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.6K Β· π¦ 330K Β· π 3.1K - 18% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/plotly/plotly.py
@@ -826,34 +826,34 @@ _General-purpose and task-specific data visualization libraries._
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 7.6M Β· β±οΈ 12.09.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 7.7M Β· β±οΈ 12.09.2024):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 9.5K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 9.7K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
dash (π₯43 Β· β 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 170 Β· π 2.1K Β· π₯ 86 Β· π¦ 73K Β· π 1.9K - 26% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 170 Β· π 2.1K Β· π₯ 86 Β· π¦ 73K Β· π 1.9K - 26% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 4.2M / month Β· π¦ 1.3K Β· β±οΈ 04.11.2024):
+- [PyPi](https://pypi.org/project/dash) (π₯ 4.4M / month Β· π¦ 1.3K Β· β±οΈ 04.11.2024):
```
pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.6M Β· β±οΈ 14.09.2024):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.6M Β· β±οΈ 04.12.2024):
```
conda install -c conda-forge dash
```
Altair (π₯43 Β· β 9.4K Β· π) - Declarative visualization library for Python. BSD-3
+Altair (π₯43 Β· β 9.4K) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 800 Β· π₯ 200 Β· π¦ 180K Β· π 2K - 9% open Β· β±οΈ 24.11.2024):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 800 Β· π₯ 210 Β· π¦ 180K Β· π 2K - 9% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/altair-viz/altair
@@ -869,7 +869,7 @@ _General-purpose and task-specific data visualization libraries._
Seaborn (π₯41 Β· β 13K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 450 Β· π¦ 510K Β· π 2.6K - 7% open Β· β±οΈ 22.07.2024):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 210 Β· π 1.9K Β· π₯ 460 Β· π¦ 520K Β· π 2.6K - 7% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/mwaskom/seaborn
@@ -883,42 +883,46 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge seaborn
```
pyecharts (π₯38 Β· β 15K) - Python Echarts Plotting Library. MIT 
+PyQtGraph (π₯37 Β· β 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 71 Β· π¦ 4.6K Β· π 1.9K - 0% open Β· β±οΈ 03.11.2024):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 11K Β· π 1.3K - 32% open Β· β±οΈ 06.11.2024):
```
- git clone https://github.com/pyecharts/pyecharts
+ git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 210K / month Β· π¦ 220 Β· β±οΈ 03.11.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 550K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
- pip install pyecharts
+ pip install pyqtgraph
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 620K Β· β±οΈ 02.05.2024):
+ ```
+ conda install -c conda-forge pyqtgraph
```
pandas-profiling (π₯38 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT 
+PyVista (π₯36 Β· β 2.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 210 Β· π¦ 4.7K Β· π 810 - 28% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 170 Β· π 510 Β· π₯ 840 Β· π¦ 3.8K Β· π 1.8K - 36% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/ydataai/pandas-profiling
+ git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 450K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pyvista) (π¦ 580 Β· β±οΈ 27.11.2024):
```
- pip install pandas-profiling
+ pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 480K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 590K Β· β±οΈ 27.11.2024):
```
- conda install -c conda-forge pandas-profiling
+ conda install -c conda-forge pyvista
```
HoloViews (π₯38 Β· β 2.7K) - With Holoviews, your data visualizes itself. BSD-3
+HoloViews (π₯36 Β· β 2.7K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 13K Β· π 3.4K - 33% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 400 Β· π¦ 13K Β· π 3.4K - 33% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 500K / month Β· π¦ 400 Β· β±οΈ 11.11.2024):
+- [PyPi](https://pypi.org/project/holoviews) (π¦ 400 Β· β±οΈ 11.11.2024):
```
pip install holoviews
```
@@ -926,263 +930,247 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 280 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 260 / month Β· π¦ 5 Β· β±οΈ 01.08.2024):
```
npm install @pyviz/jupyterlab_pyviz
```
FiftyOne (π₯37 Β· β 8.9K) - Visualize, create, and debug image and video datasets.. Apache-2
+cartopy (π₯36 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 140 Β· π 560 Β· π¦ 750 Β· π 1.6K - 31% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 6.1K Β· π 1.3K - 24% open Β· β±οΈ 28.11.2024):
```
- git clone https://github.com/voxel51/fiftyone
+ git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 73K / month Β· π¦ 22 Β· β±οΈ 08.11.2024):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 400K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
```
- pip install fiftyone
+ pip install cartopy
+ ```
+- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.3M Β· β±οΈ 07.10.2024):
+ ```
+ conda install -c conda-forge cartopy
```
plotnine (π₯37 Β· β 4.1K Β· π) - A Grammar of Graphics for Python. MIT
+pandas-profiling (π₯35 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 220 Β· π¦ 9.5K Β· π 690 - 11% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 210 Β· π¦ 4.8K Β· π 810 - 28% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 3.3M / month Β· π¦ 320 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π¦ 180 Β· β±οΈ 03.02.2023):
```
- pip install plotnine
+ pip install pandas-profiling
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 420K Β· β±οΈ 26.11.2024):
+- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (π₯ 480K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge plotnine
+ conda install -c conda-forge pandas-profiling
```
PyQtGraph (π₯37 Β· β 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+UMAP (π₯35 Β· β 7.5K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 11K Β· π 1.3K - 32% open Β· β±οΈ 06.11.2024):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 810 Β· π¦ 1 Β· π 820 - 58% open Β· β±οΈ 29.11.2024):
```
- git clone https://github.com/pyqtgraph/pyqtgraph
+ git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 580K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 2.3M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
```
- pip install pyqtgraph
+ pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 620K Β· β±οΈ 02.05.2024):
- ```
- conda install -c conda-forge pyqtgraph
- ```
-PyVista (π₯37 Β· β 2.7K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 170 Β· π 510 Β· π₯ 840 Β· π¦ 3.7K Β· π 1.8K - 36% open Β· β±οΈ 28.11.2024):
-
- ```
- git clone https://github.com/pyvista/pyvista
- ```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 380K / month Β· π¦ 580 Β· β±οΈ 27.11.2024):
- ```
- pip install pyvista
- ```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 580K Β· β±οΈ 27.11.2024):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.7M Β· β±οΈ 29.10.2024):
```
- conda install -c conda-forge pyvista
+ conda install -c conda-forge umap-learn
```
cartopy (π₯36 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
+datashader (π₯34 Β· β 3.3K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 6.1K Β· π 1.3K - 24% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 58 Β· π 370 Β· π¦ 5.2K Β· π 590 - 23% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/SciTools/cartopy
+ git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 400K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 160K / month Β· π¦ 200 Β· β±οΈ 04.07.2024):
```
- pip install cartopy
+ pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.3M Β· β±οΈ 07.10.2024):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.2M Β· β±οΈ 08.07.2024):
```
- conda install -c conda-forge cartopy
+ conda install -c conda-forge datashader
```
UMAP (π₯35 Β· β 7.5K) - Uniform Manifold Approximation and Projection. BSD-3
+pyecharts (π₯33 Β· β 15K Β· π) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 810 Β· π¦ 1 Β· π 820 - 58% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 71 Β· π¦ 4.6K Β· π 1.9K - 0% open Β· β±οΈ 03.11.2024):
```
- git clone https://github.com/lmcinnes/umap
- ```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 2.3M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
- ```
- pip install umap-learn
+ git clone https://github.com/pyecharts/pyecharts
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 2.7M Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/pyecharts) (π¦ 220 Β· β±οΈ 03.11.2024):
```
- conda install -c conda-forge umap-learn
+ pip install pyecharts
```
VisPy (π₯35 Β· β 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3
+Perspective (π₯33 Β· β 8.6K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.8K Β· π 1.5K - 24% open Β· β±οΈ 09.11.2024):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 98 Β· π 1.2K Β· π₯ 6.8K Β· π¦ 150 Β· π 830 - 13% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/vispy/vispy
+ git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 1.1M / month Β· π¦ 170 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 19K / month Β· π¦ 26 Β· β±οΈ 03.12.2024):
```
- pip install vispy
+ pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 650K Β· β±οΈ 04.09.2024):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 1.4M Β· β±οΈ 22.11.2024):
```
- conda install -c conda-forge vispy
+ conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 19 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.5K / month Β· π¦ 6 Β· β±οΈ 03.12.2024):
```
- npm install vispy
+ npm install @finos/perspective-jupyterlab
```
Graphviz (π₯35 Β· β 1.6K) - Simple Python interface for Graphviz. MIT
+plotnine (π₯33 Β· β 4.1K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 77K Β· π 180 - 6% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 220 Β· π¦ 9.6K Β· π 690 - 11% open Β· β±οΈ 28.11.2024):
```
- git clone https://github.com/xflr6/graphviz
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 19M / month Β· π¦ 2.6K Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/plotnine) (π¦ 320 Β· β±οΈ 26.11.2024):
```
- pip install graphviz
+ pip install plotnine
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 50K Β· β±οΈ 08.04.2024):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 420K Β· β±οΈ 26.11.2024):
```
- conda install -c anaconda python-graphviz
+ conda install -c conda-forge plotnine
```
wordcloud (π₯34 Β· β 10K) - A little word cloud generator in Python. MIT
+wordcloud (π₯32 Β· β 10K) - A little word cloud generator in Python. MIT
- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 72 Β· π 2.3K Β· π¦ 21 Β· π 550 - 23% open Β· β±οΈ 10.11.2024):
```
git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.8M / month Β· π¦ 550 Β· β±οΈ 10.11.2024):
+- [PyPi](https://pypi.org/project/wordcloud) (π¦ 550 Β· β±οΈ 10.11.2024):
```
pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 570K Β· β±οΈ 11.11.2024):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 570K Β· β±οΈ 02.12.2024):
```
conda install -c conda-forge wordcloud
```
datashader (π₯34 Β· β 3.3K) - Quickly and accurately render even the largest data. BSD-3
+FiftyOne (π₯32 Β· β 8.9K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 57 Β· π 370 Β· π¦ 5.1K Β· π 590 - 23% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 140 Β· π 560 Β· π¦ 750 Β· π 1.6K - 31% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/holoviz/datashader
- ```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 160K / month Β· π¦ 200 Β· β±οΈ 04.07.2024):
- ```
- pip install datashader
+ git clone https://github.com/voxel51/fiftyone
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.2M Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/fiftyone) (π¦ 22 Β· β±οΈ 08.11.2024):
```
- conda install -c conda-forge datashader
+ pip install fiftyone
```
Perspective (π₯33 Β· β 8.6K) - A data visualization and analytics component, especially.. Apache-2
+VisPy (π₯32 Β· β 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 98 Β· π 1.2K Β· π₯ 6.5K Β· π¦ 150 Β· π 840 - 14% open Β· β±οΈ 18.11.2024):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.8K Β· π 1.5K - 24% open Β· β±οΈ 09.11.2024):
```
- git clone https://github.com/finos/perspective
+ git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 17K / month Β· π¦ 26 Β· β±οΈ 18.11.2024):
+- [PyPi](https://pypi.org/project/vispy) (π¦ 170 Β· β±οΈ 17.06.2024):
```
- pip install perspective-python
+ pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 1.3M Β· β±οΈ 22.11.2024):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 650K Β· β±οΈ 04.09.2024):
```
- conda install -c conda-forge perspective
+ conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 4.1K / month Β· π¦ 6 Β· β±οΈ 18.11.2024):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 19 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
- npm install @finos/perspective-jupyterlab
+ npm install vispy
```
hvPlot (π₯32 Β· β 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
+D-Tale (π₯31 Β· β 4.8K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 50 Β· π 110 Β· π¦ 6.1K Β· π 820 - 44% open Β· β±οΈ 07.11.2024):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 410 Β· π¦ 1.3K Β· π 590 - 10% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/holoviz/hvplot
+ git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 210K / month Β· π¦ 200 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 98K / month Β· π¦ 48 Β· β±οΈ 03.12.2024):
```
- pip install hvplot
+ pip install dtale
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 680K Β· β±οΈ 17.10.2024):
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 360K Β· β±οΈ 03.12.2024):
```
- conda install -c conda-forge hvplot
+ conda install -c conda-forge dtale
```
D-Tale (π₯31 Β· β 4.8K) - Visualizer for pandas data structures. βοΈLGPL-2.1
+hvPlot (π₯31 Β· β 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 400 Β· π¦ 1.3K Β· π 590 - 10% open Β· β±οΈ 25.10.2024):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 6.2K Β· π 820 - 44% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/man-group/dtale
+ git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 99K / month Β· π¦ 48 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/hvplot) (π¦ 200 Β· β±οΈ 16.10.2024):
```
- pip install dtale
+ pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 360K Β· β±οΈ 25.10.2024):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 680K Β· β±οΈ 17.10.2024):
```
- conda install -c conda-forge dtale
+ conda install -c conda-forge hvplot
```
lets-plot (π₯31 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+Graphviz (π₯30 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 52 Β· π₯ 1.3K Β· π¦ 140 Β· π 640 - 24% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 78K Β· π 180 - 6% open Β· β±οΈ 13.05.2024):
```
- git clone https://github.com/JetBrains/lets-plot
+ git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 53K / month Β· π¦ 14 Β· β±οΈ 27.11.2024):
+- [PyPi](https://pypi.org/project/graphviz) (π¦ 2.6K Β· β±οΈ 21.03.2024):
```
- pip install lets-plot
+ pip install graphviz
+ ```
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 51K Β· β±οΈ 08.04.2024):
+ ```
+ conda install -c anaconda python-graphviz
```
mpld3 (π₯30 Β· β 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
+mpld3 (π₯29 Β· β 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 53 Β· π 360 Β· π¦ 6.7K Β· π 370 - 59% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 53 Β· π 360 Β· π¦ 6.8K Β· π 370 - 59% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 340K / month Β· π¦ 150 Β· β±οΈ 23.12.2023):
+- [PyPi](https://pypi.org/project/mpld3) (π¦ 150 Β· β±οΈ 23.12.2023):
```
pip install mpld3
```
-- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 210K Β· β±οΈ 23.12.2023):
+- [Conda](https://anaconda.org/conda-forge/mpld3) (π₯ 220K Β· β±οΈ 23.12.2023):
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 840 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 920 / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
```
npm install mpld3
```
bqplot (π₯29 Β· β 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+bqplot (π₯28 Β· β 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2
- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 65 Β· π 460 Β· π¦ 59 Β· π 640 - 42% open Β· β±οΈ 22.10.2024):
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 240K / month Β· π¦ 99 Β· β±οΈ 25.03.2024):
+- [PyPi](https://pypi.org/project/bqplot) (π¦ 99 Β· β±οΈ 25.03.2024):
```
pip install bqplot
```
@@ -1195,6 +1183,18 @@ _General-purpose and task-specific data visualization libraries._
npm install bqplot
```
lets-plot (π₯28 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 52 Β· π₯ 1.3K Β· π¦ 140 Β· π 640 - 23% open Β· β±οΈ 04.12.2024):
+
+ ```
+ git clone https://github.com/JetBrains/lets-plot
+ ```
+- [PyPi](https://pypi.org/project/lets-plot) (π¦ 14 Β· β±οΈ 27.11.2024):
+ ```
+ pip install lets-plot
+ ```
+Chartify (π₯27 Β· β 3.5K) - Python library that makes it easy for data scientists to create.. Apache-2
- [GitHub](https://github.com/spotify/chartify) (π¨βπ» 27 Β· π 320 Β· π¦ 80 Β· π 83 - 61% open Β· β±οΈ 16.10.2024):
@@ -1202,7 +1202,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 3.4K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 2.9K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
```
pip install chartify
```
@@ -1211,14 +1211,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge chartify
```
openTSNE (π₯27 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
+openTSNE (π₯26 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 160 Β· π¦ 920 Β· π 140 - 5% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 160 Β· π¦ 930 Β· π 140 - 5% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 47K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/opentsne) (π¦ 47 Β· β±οΈ 13.08.2024):
```
pip install opentsne
```
@@ -1227,78 +1227,22 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge opentsne
```
data-validation (π₯27 Β· β 760) - Library for exploring and validating machine learning.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 890 Β· π 180 - 21% open Β· β±οΈ 20.11.2024):
-
- ```
- git clone https://github.com/tensorflow/data-validation
- ```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 160K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
- ```
- pip install tensorflow-data-validation
- ```
-Sweetviz (π₯26 Β· β 3K Β· π€) - Visualize and compare datasets, target values and associations, with.. MIT
-
-- [GitHub](https://github.com/fbdesignpro/sweetviz) (π¨βπ» 11 Β· π 280 Β· π¦ 2.7K Β· π 140 - 31% open Β· β±οΈ 29.11.2023):
-
- ```
- git clone https://github.com/fbdesignpro/sweetviz
- ```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 76K / month Β· π¦ 30 Β· β±οΈ 29.11.2023):
- ```
- pip install sweetviz
- ```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 36K Β· β±οΈ 04.12.2023):
- ```
- conda install -c conda-forge sweetviz
- ```
-HyperTools (π₯26 Β· β 1.8K Β· π€) - A Python toolbox for gaining geometric insights into high-.. MIT
-
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 57 Β· π¦ 490 Β· π 200 - 34% open Β· β±οΈ 19.03.2024):
-
- ```
- git clone https://github.com/ContextLab/hypertools
- ```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
- ```
- pip install hypertools
- ```
-AutoViz (π₯26 Β· β 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
+AutoViz (π₯24 Β· β 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2
- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 790 Β· π 95 - 4% open Β· β±οΈ 10.06.2024):
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 27K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π¦ 11 Β· β±οΈ 10.06.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 69K Β· β±οΈ 26.04.2024):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 70K Β· β±οΈ 26.04.2024):
```
conda install -c conda-forge autoviz
```
Plotly-Resampler (π₯25 Β· β 1K) - Visualize large time series data with plotly.py. MIT
-
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 13 Β· π 68 Β· π¦ 1.5K Β· π 170 - 32% open Β· β±οΈ 28.10.2024):
-
- ```
- git clone https://github.com/predict-idlab/plotly-resampler
- ```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 480K / month Β· π¦ 24 Β· β±οΈ 27.03.2024):
- ```
- pip install plotly-resampler
- ```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 78K Β· β±οΈ 29.03.2024):
- ```
- conda install -c conda-forge plotly-resampler
- ```
-python-ternary (π₯24 Β· β 740) - Ternary plotting library for python with matplotlib. MIT
- [GitHub](https://github.com/marcharper/python-ternary) (π¨βπ» 28 Β· π 160 Β· π₯ 35 Β· π¦ 200 Β· π 140 - 24% open Β· β±οΈ 12.06.2024):
@@ -1306,7 +1250,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 16K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 17K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
@@ -1317,12 +1261,12 @@ _General-purpose and task-specific data visualization libraries._
vega (π₯24 Β· β 380) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3
-- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 14% open Β· β±οΈ 01.11.2024):
+- [GitHub](https://github.com/vega/ipyvega) (π¨βπ» 15 Β· π 65 Β· π¦ 4 Β· π 110 - 14% open Β· β±οΈ 01.12.2024):
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 10K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/vega) (π₯ 9.5K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
```
pip install vega
```
@@ -1331,18 +1275,6 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge vega
```
ivis (π₯24 Β· β 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 36 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
-
- ```
- git clone https://github.com/beringresearch/ivis
- ```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
- ```
- pip install ivis
- ```
-Multicore-TSNE (π₯23 Β· β 1.9K Β· π€) - Parallel t-SNE implementation with Python and Torch.. BSD-3
- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (π¨βπ» 18 Β· π 230 Β· π¦ 480 Β· π 69 - 65% open Β· β±οΈ 06.02.2024):
@@ -1354,39 +1286,79 @@ _General-purpose and task-specific data visualization libraries._
```
pip install MulticoreTSNE
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne):
+- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 56K Β· β±οΈ 11.10.2023):
```
conda install -c conda-forge multicore-tsne
```
vegafusion (π₯23 Β· β 340 Β· π) - Serverside scaling for Vega and Altair visualizations. BSD-3
+vegafusion (π₯23 Β· β 340) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 5 Β· π 18 Β· π₯ 8K Β· π 140 - 35% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 5 Β· π 18 Β· π₯ 8.3K Β· π 140 - 35% open Β· β±οΈ 25.11.2024):
```
git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 2.1K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
pip install vegafusion-jupyter
```
-- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (π₯ 280K Β· β±οΈ 31.10.2024):
+- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (π₯ 290K Β· β±οΈ 31.10.2024):
```
conda install -c conda-forge vegafusion-python-embed
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 220 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 200 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
```
npm install vegafusion-jupyter
```
PyWaffle (π₯22 Β· β 590) - Make Waffle Charts in Python. MIT
+HyperTools (π₯22 Β· β 1.8K Β· π€) - A Python toolbox for gaining geometric insights into high-.. MIT
+
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 57 Β· π¦ 490 Β· π 200 - 34% open Β· β±οΈ 19.03.2024):
+
+ ```
+ git clone https://github.com/ContextLab/hypertools
+ ```
+- [PyPi](https://pypi.org/project/hypertools) (π¦ 2 Β· β±οΈ 12.02.2022):
+ ```
+ pip install hypertools
+ ```
+Plotly-Resampler (π₯22 Β· β 1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 430 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 13 Β· π 68 Β· π¦ 1.6K Β· π 170 - 32% open Β· β±οΈ 28.10.2024):
+
+ ```
+ git clone https://github.com/predict-idlab/plotly-resampler
+ ```
+- [PyPi](https://pypi.org/project/plotly-resampler) (π¦ 24 Β· β±οΈ 27.03.2024):
+ ```
+ pip install plotly-resampler
+ ```
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 79K Β· β±οΈ 29.03.2024):
+ ```
+ conda install -c conda-forge plotly-resampler
+ ```
+data-validation (π₯21 Β· β 770 Β· π) - Library for exploring and validating machine learning.. Apache-2
+
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 910 Β· π 180 - 21% open Β· β±οΈ 20.11.2024):
+
+ ```
+ git clone https://github.com/tensorflow/data-validation
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π¦ 31 Β· β±οΈ 15.10.2024):
+ ```
+ pip install tensorflow-data-validation
+ ```
+PyWaffle (π₯21 Β· β 590) - Make Waffle Charts in Python. MIT
+
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 440 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
```
git clone https://github.com/gyli/PyWaffle
```
-- [PyPi](https://pypi.org/project/pywaffle) (π₯ 8.2K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 8.4K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
pip install pywaffle
```
@@ -1395,14 +1367,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pywaffle
```
animatplot (π₯21 Β· β 410) - A python package for animating plots build on matplotlib. MIT
+animatplot (π₯20 Β· β 410) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 7 Β· π 38 Β· π¦ 62 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
+- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 6 Β· π 38 Β· π¦ 62 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
```
git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/animatplot) (π₯ 1.5K / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 1.1K / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
```
pip install animatplot
```
@@ -1411,22 +1383,36 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge animatplot
```
Show 15 hidden projects...
+ivis (π₯19 Β· β 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
+
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 36 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
+
+ ```
+ git clone https://github.com/beringresearch/ivis
+ ```
+- [PyPi](https://pypi.org/project/ivis) (π¦ 2 Β· β±οΈ 13.06.2024):
+ ```
+ pip install ivis
+ ```
+Show 17 hidden projects...
-- missingno (π₯30 Β· β 4K Β· π) - Missing data visualization module for Python. MIT
-- Cufflinks (π₯29 Β· β 3K Β· π) - Productivity Tools for Plotly + Pandas. MIT Apache-2 MIT
- pythreejs (π₯28 Β· β 950 Β· π) - A Jupyter - Three.js bridge. BSD-3 MIT
+- Cufflinks (π₯24 Β· β 3K Β· π) - Productivity Tools for Plotly + Pandas. MIT MIT
-- PandasGUI (π₯23 Β· β 3.2K Β· π€) - A GUI for Pandas DataFrames. βοΈMIT-0 MIT MIT
+- Facets Overview (π₯23 Β· β 7.4K Β· π) - Visualizations for machine learning datasets. Apache-2 βοΈMIT-0 MIT MIT
- joypy (π₯21 Β· β 560 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
-- Popmon (π₯21 Β· β 500 Β· π) - Monitor the stability of a Pandas or Spark dataframe. MIT MIT
-- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
-- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT MIT MIT MIT
+- pdvega (π₯15 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
+- data-describe (π₯13 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
+- nx-altair (π₯13 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT Apache-2
@@ -1439,12 +1425,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯52 Β· β 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.9K Β· π 27K Β· π¦ 250K Β· π 17K - 8% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.9K Β· π 27K Β· π¦ 250K Β· π 17K - 8% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 44M / month Β· π¦ 6.8K Β· β±οΈ 18.11.2024):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 46M / month Β· π¦ 6.9K Β· β±οΈ 18.11.2024):
```
pip install transformers
```
@@ -1453,90 +1439,74 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge transformers
```
spaCy (π₯45 Β· β 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 740 Β· π¦ 110K Β· π 5.7K - 2% open Β· β±οΈ 19.11.2024):
-
- ```
- git clone https://github.com/explosion/spaCy
- ```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 15M / month Β· π¦ 2.7K Β· β±οΈ 01.10.2024):
- ```
- pip install spacy
- ```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 4.6M Β· β±οΈ 24.11.2024):
- ```
- conda install -c conda-forge spacy
- ```
-litellm (π₯44 Β· β 14K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+litellm (π₯44 Β· β 15K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 360 Β· π 1.7K Β· π₯ 440 Β· π¦ 4.8K Β· π 3.8K - 22% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 360 Β· π 1.7K Β· π₯ 470 Β· π¦ 5K Β· π 3.9K - 22% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 3.6M / month Β· π¦ 560 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 3.6M / month Β· π¦ 590 Β· β±οΈ 05.12.2024):
```
pip install litellm
```
nltk (π₯43 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+spaCy (π₯43 Β· β 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 460 Β· π 2.9K Β· π¦ 320K Β· π 1.8K - 14% open Β· β±οΈ 11.11.2024):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 780 Β· π¦ 110K Β· π 5.7K - 2% open Β· β±οΈ 19.11.2024):
```
- git clone https://github.com/nltk/nltk
+ git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 23M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/spacy) (π¦ 2.7K Β· β±οΈ 01.10.2024):
```
- pip install nltk
+ pip install spacy
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.9M Β· β±οΈ 18.08.2024):
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 4.6M Β· β±οΈ 24.11.2024):
```
- conda install -c conda-forge nltk
+ conda install -c conda-forge spacy
```
sentence-transformers (π₯41 Β· β 15K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 200 Β· π 2.5K Β· π¦ 57K Β· π 2.2K - 53% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 200 Β· π 2.5K Β· π¦ 58K Β· π 2.3K - 52% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 7M / month Β· π¦ 1.8K Β· β±οΈ 18.11.2024):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 7.4M / month Β· π¦ 1.8K Β· β±οΈ 18.11.2024):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 470K Β· β±οΈ 18.11.2024):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 480K Β· β±οΈ 18.11.2024):
```
conda install -c conda-forge sentence-transformers
```
gensim (π₯40 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
+nltk (π₯41 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 5.1K Β· π¦ 67K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 460 Β· π 2.9K Β· π¦ 330K Β· π 1.8K - 14% open Β· β±οΈ 11.11.2024):
```
- git clone https://github.com/RaRe-Technologies/gensim
+ git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.4M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/nltk) (π¦ 4.7K Β· β±οΈ 18.08.2024):
```
- pip install gensim
+ pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.4M Β· β±οΈ 03.09.2024):
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.9M Β· β±οΈ 18.08.2024):
```
- conda install -c conda-forge gensim
+ conda install -c conda-forge nltk
```
Tokenizers (π₯40 Β· β 9.1K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 100 Β· π 810 Β· π₯ 68 Β· π¦ 120K Β· π 1K - 5% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 100 Β· π 810 Β· π₯ 69 Β· π¦ 120K Β· π 1K - 5% open Β· β±οΈ 27.11.2024):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 34M / month Β· π¦ 1.1K Β· β±οΈ 27.11.2024):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 35M / month Β· π¦ 1.1K Β· β±οΈ 27.11.2024):
```
pip install tokenizers
```
@@ -1545,25 +1515,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge tokenizers
```
flair (π₯38 Β· β 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 270 Β· π 2.1K Β· π¦ 3.6K Β· π 2.3K - 5% open Β· β±οΈ 22.11.2024):
-
- ```
- git clone https://github.com/flairNLP/flair
- ```
-- [PyPi](https://pypi.org/project/flair) (π₯ 95K / month Β· π¦ 140 Β· β±οΈ 25.07.2024):
- ```
- pip install flair
- ```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 34K Β· β±οΈ 05.01.2024):
- ```
- conda install -c conda-forge python-flair
- ```
-fairseq (π₯37 Β· β 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.4K Β· π₯ 360 Β· π¦ 3.7K Β· π 4.3K - 29% open Β· β±οΈ 18.10.2024):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.4K Β· π₯ 370 Β· π¦ 3.8K Β· π 4.3K - 29% open Β· β±οΈ 18.10.2024):
```
git clone https://github.com/facebookresearch/fairseq
@@ -1572,70 +1526,82 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 100K Β· β±οΈ 24.11.2024):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 110K Β· β±οΈ 24.11.2024):
```
conda install -c conda-forge fairseq
```
Rasa (π₯37 Β· β 19K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
+Rasa (π₯37 Β· β 19K) - Open source machine learning framework to automate text- and voice-.. Apache-2
- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 600 Β· π 4.6K Β· π¦ 4.6K Β· π 6.8K - 1% open Β· β±οΈ 25.11.2024):
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 160K / month Β· π¦ 60 Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 180K / month Β· π¦ 60 Β· β±οΈ 18.04.2024):
```
pip install rasa
```
flair (π₯37 Β· β 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
+
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 270 Β· π 2.1K Β· π¦ 3.7K Β· π 2.3K - 5% open Β· β±οΈ 29.11.2024):
+
+ ```
+ git clone https://github.com/flairNLP/flair
+ ```
+- [PyPi](https://pypi.org/project/flair) (π¦ 140 Β· β±οΈ 25.07.2024):
+ ```
+ pip install flair
+ ```
+- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 35K Β· β±οΈ 05.01.2024):
+ ```
+ conda install -c conda-forge python-flair
+ ```
+NeMo (π₯37 Β· β 12K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 370 Β· π 2.5K Β· π₯ 260K Β· π¦ 21 Β· π 2.4K - 6% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 370 Β· π 2.5K Β· π₯ 260K Β· π¦ 21 Β· π 2.4K - 6% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 200K / month Β· π¦ 13 Β· β±οΈ 14.11.2024):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 210K / month Β· π¦ 13 Β· β±οΈ 14.11.2024):
```
pip install nemo-toolkit
```
sentencepiece (π₯37 Β· β 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+gensim (π₯36 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 46K Β· π¦ 85K Β· π 760 - 5% open Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 5.2K Β· π¦ 68K Β· π 1.8K - 20% open Β· β±οΈ 10.08.2024):
```
- git clone https://github.com/google/sentencepiece
+ git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 22M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/gensim) (π¦ 1.4K Β· β±οΈ 19.07.2024):
```
- pip install sentencepiece
+ pip install gensim
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1.1M Β· β±οΈ 25.11.2024):
+- [Conda](https://anaconda.org/conda-forge/gensim) (π₯ 1.4M Β· β±οΈ 03.09.2024):
```
- conda install -c conda-forge sentencepiece
+ conda install -c conda-forge gensim
```
TextBlob (π₯36 Β· β 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
+haystack (π₯35 Β· β 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 120 Β· π¦ 45K Β· π 280 - 39% open Β· β±οΈ 07.08.2024):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 270 Β· π 1.9K Β· π¦ 670 Β· π 3.6K - 2% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/sloria/TextBlob
- ```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 1.3M / month Β· π¦ 390 Β· β±οΈ 15.02.2024):
- ```
- pip install textblob
+ git clone https://github.com/deepset-ai/haystack
```
-- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 270K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 6.4K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
- conda install -c conda-forge textblob
+ pip install haystack
```
spark-nlp (π₯36 Β· β 3.9K) - State of the Art Natural Language Processing. Apache-2
+spark-nlp (π₯35 Β· β 3.9K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 710 Β· π¦ 520 Β· π 900 - 4% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 710 Β· π¦ 530 Β· π 900 - 4% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
@@ -1645,7 +1611,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install spark-nlp
```
fastText (π₯35 Β· β 26K Β· π€) - Library for fast text representation and classification. MIT
+TensorFlow Text (π₯35 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
+
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 150 Β· π 340 Β· π¦ 7.7K Β· π 360 - 52% open Β· β±οΈ 02.12.2024):
+
+ ```
+ git clone https://github.com/tensorflow/text
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 8.3M / month Β· π¦ 220 Β· β±οΈ 28.10.2024):
+ ```
+ pip install tensorflow-text
+ ```
+fastText (π₯34 Β· β 26K Β· π€) - Library for fast text representation and classification. MIT
- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 6.9K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
@@ -1661,38 +1639,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge fasttext
```
haystack (π₯35 Β· β 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2
+sentencepiece (π₯34 Β· β 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 270 Β· π 1.9K Β· π¦ 660 Β· π 3.6K - 2% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 46K Β· π¦ 86K Β· π 760 - 5% open Β· β±οΈ 18.08.2024):
```
- git clone https://github.com/deepset-ai/haystack
- ```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 6.3K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
- ```
- pip install haystack
+ git clone https://github.com/google/sentencepiece
```
-TensorFlow Text (π₯35 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 150 Β· π 340 Β· π¦ 7.6K Β· π 360 - 52% open Β· β±οΈ 25.11.2024):
-
+- [PyPi](https://pypi.org/project/sentencepiece) (π¦ 1.7K Β· β±οΈ 19.02.2024):
```
- git clone https://github.com/tensorflow/text
+ pip install sentencepiece
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.8M / month Β· π¦ 220 Β· β±οΈ 28.10.2024):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 1.1M Β· β±οΈ 25.11.2024):
```
- pip install tensorflow-text
+ conda install -c conda-forge sentencepiece
```
rubrix (π₯34 Β· β 4.1K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 100 Β· π 380 Β· π¦ 2.8K Β· π 2.2K - 4% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 100 Β· π 380 Β· π¦ 2.8K Β· π 2.2K - 4% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 2.5K / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 2.3K / month Β· β±οΈ 24.10.2022):
```
pip install rubrix
```
@@ -1709,6 +1679,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
git clone https://github.com/qdrant/qdrant
```
TextBlob (π₯33 Β· β 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
+
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 120 Β· π¦ 46K Β· π 280 - 39% open Β· β±οΈ 07.08.2024):
+
+ ```
+ git clone https://github.com/sloria/TextBlob
+ ```
+- [PyPi](https://pypi.org/project/textblob) (π¦ 390 Β· β±οΈ 15.02.2024):
+ ```
+ pip install textblob
+ ```
+- [Conda](https://anaconda.org/conda-forge/textblob) (π₯ 270K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge textblob
+ ```
+stanza (π₯33 Β· β 7.3K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 900 Β· π¦ 3.3K Β· π 910 - 11% open Β· β±οΈ 12.09.2024):
@@ -1727,12 +1713,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (π₯33 Β· β 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 23 Β· π¦ 25K Β· π 140 - 5% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 24 Β· π¦ 25K Β· π 140 - 5% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.4M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 4.9M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
```
pip install ftfy
```
@@ -1741,110 +1727,102 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge ftfy
```
torchtext (π₯33 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
+OpenNMT (π₯32 Β· β 6.8K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 39% open Β· β±οΈ 14.08.2024):
+- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 300 Β· π 1.5K - 1% open Β· β±οΈ 27.06.2024):
```
- git clone https://github.com/pytorch/text
+ git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 1.1M / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 16K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
```
- pip install torchtext
+ pip install OpenNMT-py
```
jellyfish (π₯33 Β· β 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
+DeepPavlov (π₯31 Β· β 6.7K) - An open source library for deep learning end-to-end dialog.. Apache-2
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 33 Β· π 160 Β· π¦ 12K Β· π 140 - 6% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 77 Β· π 1.2K Β· π¦ 420 Β· π 640 - 3% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/jamesturk/jellyfish
- ```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 6.4M / month Β· π¦ 270 Β· β±οΈ 28.07.2024):
- ```
- pip install jellyfish
+ git clone https://github.com/deepmipt/DeepPavlov
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 1.1M Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
- conda install -c conda-forge jellyfish
+ pip install deeppavlov
```
ParlAI (π₯32 Β· β 10K Β· π€) - A framework for training and evaluating AI models on a variety of.. MIT
+Dedupe (π₯30 Β· β 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT
-- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 260 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
+- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 72 Β· π 550 Β· π¦ 340 Β· π 820 - 8% open Β· β±οΈ 01.11.2024):
```
- git clone https://github.com/facebookresearch/ParlAI
- ```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 3.5K / month Β· π¦ 9 Β· β±οΈ 06.06.2023):
+ git clone https://github.com/dedupeio/dedupe
```
- pip install parlai
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 93K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
-OpenNMT (π₯32 Β· β 6.8K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT
-
-- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (π¨βπ» 190 Β· π 2.2K Β· π¦ 300 Β· π 1.5K - 1% open Β· β±οΈ 27.06.2024):
-
- ```
- git clone https://github.com/OpenNMT/OpenNMT-py
+ pip install dedupe
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 16K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 84K Β· β±οΈ 16.06.2023):
```
- pip install OpenNMT-py
+ conda install -c conda-forge dedupe
```
DeepPavlov (π₯31 Β· β 6.7K Β· π) - An open source library for deep learning end-to-end.. Apache-2
+jellyfish (π₯30 Β· β 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 77 Β· π 1.2K Β· π¦ 420 Β· π 640 - 3% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 34 Β· π 160 Β· π¦ 12K Β· π 140 - 4% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/deepmipt/DeepPavlov
+ git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 13K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/jellyfish) (π¦ 280 Β· β±οΈ 03.12.2024):
```
- pip install deeppavlov
+ pip install jellyfish
+ ```
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 1.1M Β· β±οΈ 04.12.2024):
+ ```
+ conda install -c conda-forge jellyfish
```
snowballstemmer (π₯31 Β· β 760) - Snowball compiler and stemming algorithms. BSD-3
+spacy-transformers (π₯29 Β· β 1.4K Β· π) - Use pretrained transformers like BERT, XLNet and.. MIT spacy
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 35 Β· π 170 Β· π¦ 10 Β· π 90 - 27% open Β· β±οΈ 20.11.2024):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 170 Β· π¦ 2K Β· β±οΈ 05.06.2024):
```
- git clone https://github.com/snowballstem/snowball
+ git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 35M / month Β· π¦ 450 Β· β±οΈ 16.11.2021):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 270K / month Β· π¦ 87 Β· β±οΈ 25.04.2024):
```
- pip install snowballstemmer
+ pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 8.9M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 76K Β· β±οΈ 03.12.2024):
```
- conda install -c conda-forge snowballstemmer
+ conda install -c conda-forge spacy-transformers
```
Dedupe (π₯30 Β· β 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT
+Sumy (π₯28 Β· β 3.5K Β· π€) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/dedupeio/dedupe) (π¨βπ» 72 Β· π 550 Β· π¦ 340 Β· π 820 - 8% open Β· β±οΈ 01.11.2024):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 3.3K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
```
- git clone https://github.com/dedupeio/dedupe
+ git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 110K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 290K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
- pip install dedupe
+ pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 83K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 10K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge dedupe
+ conda install -c conda-forge sumy
```
TextDistance (π₯30 Β· β 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
+TextDistance (π₯28 Β· β 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 17 Β· π 250 Β· π₯ 1K Β· π¦ 7.4K Β· β±οΈ 09.09.2024):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 17 Β· π 250 Β· π₯ 1K Β· π¦ 7.5K Β· β±οΈ 09.09.2024):
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 850K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 810K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
```
pip install textdistance
```
@@ -1853,94 +1831,78 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textdistance
```
SciSpacy (π₯30 Β· β 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1K Β· π 320 - 9% open Β· β±οΈ 23.11.2024):
-
- ```
- git clone https://github.com/allenai/scispacy
- ```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 22K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
- ```
- pip install scispacy
- ```
-Sumy (π₯28 Β· β 3.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2
+snowballstemmer (π₯28 Β· β 760) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 3.3K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 35 Β· π 170 Β· π¦ 10 Β· π 90 - 27% open Β· β±οΈ 20.11.2024):
```
- git clone https://github.com/miso-belica/sumy
+ git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 350K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π¦ 450 Β· β±οΈ 16.11.2021):
```
- pip install sumy
+ pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 10K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9M Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge sumy
+ conda install -c conda-forge snowballstemmer
```
spacy-transformers (π₯28 Β· β 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
+torchtext (π₯27 Β· β 3.5K Β· π) - Models, data loaders and abstractions for language.. BSD-3
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 170 Β· π¦ 2K Β· β±οΈ 05.06.2024):
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 850 - 39% open Β· β±οΈ 14.08.2024):
```
- git clone https://github.com/explosion/spacy-transformers
- ```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 280K / month Β· π¦ 87 Β· β±οΈ 25.04.2024):
- ```
- pip install spacy-transformers
+ git clone https://github.com/pytorch/text
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 74K Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/torchtext) (π¦ 280 Β· β±οΈ 24.04.2024):
```
- conda install -c conda-forge spacy-transformers
+ pip install torchtext
```
english-words (π₯27 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
+PyTextRank (π₯26 Β· β 2.2K Β· π€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
-- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 32 Β· π 1.8K Β· π¦ 2 Β· π 150 - 75% open Β· β±οΈ 16.06.2024):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 760 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
- git clone https://github.com/dwyl/english-words
+ git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 87K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 120K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
- pip install english-words
+ pip install pytextrank
```
DeepKE (π₯27 Β· β 3.6K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
+SciSpacy (π₯26 Β· β 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 680 Β· π¦ 24 Β· π 580 - 1% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1K Β· π 320 - 9% open Β· β±οΈ 23.11.2024):
```
- git clone https://github.com/zjunlp/deepke
+ git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 3.3K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/scispacy) (π¦ 34 Β· β±οΈ 27.10.2024):
```
- pip install deepke
+ pip install scispacy
```
CLTK (π₯27 Β· β 840) - The Classical Language Toolkit. MIT
+DeepKE (π₯24 Β· β 3.6K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 100 Β· π¦ 280 Β· π 570 - 6% open Β· β±οΈ 12.05.2024):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 680 Β· π¦ 24 Β· π 580 - 1% open Β· β±οΈ 29.11.2024):
```
- git clone https://github.com/cltk/cltk
+ git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 8.7K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
+- [PyPi](https://pypi.org/project/deepke) (β±οΈ 21.09.2023):
```
- pip install cltk
+ pip install deepke
```
scattertext (π₯26 Β· β 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2
+scattertext (π₯24 Β· β 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2
- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 290 Β· π¦ 640 Β· π 100 - 21% open Β· β±οΈ 23.09.2024):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 13K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
@@ -1949,40 +1911,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge scattertext
```
Opik (π₯26 Β· β 2.3K) - Open-source end-to-end LLM Development Platform. Apache-2
+CLTK (π₯24 Β· β 840) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 26 Β· π 140 Β· π 92 - 31% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 100 Β· π¦ 280 Β· π 580 - 6% open Β· β±οΈ 01.12.2024):
```
- git clone https://github.com/comet-ml/opik
+ git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/opik) (π₯ 9.8K / month Β· β±οΈ 27.11.2024):
+- [PyPi](https://pypi.org/project/cltk) (π¦ 17 Β· β±οΈ 01.12.2024):
```
- pip install opik
+ pip install cltk
```
PyTextRank (π₯26 Β· β 2.2K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT
+Opik (π₯23 Β· β 2.5K) - Open-source end-to-end LLM Development Platform. Apache-2
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 750 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 27 Β· π 150 Β· π 100 - 28% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/DerwenAI/pytextrank
+ git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 120K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/opik) (π¦ 1 Β· β±οΈ 05.12.2024):
```
- pip install pytextrank
+ pip install opik
```
T5 (π₯24 Β· β 6.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
+english-words (π₯22 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 59 Β· π 750 Β· π 450 - 23% open Β· β±οΈ 28.06.2024):
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 32 Β· π 1.8K Β· π¦ 2 Β· π 150 - 75% open Β· β±οΈ 16.06.2024):
```
- git clone https://github.com/google-research/text-to-text-transfer-transformer
+ git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 32K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/english-words) (π¦ 14 Β· β±οΈ 24.05.2023):
```
- pip install t5
+ pip install english-words
```
fast-bert (π₯22 Β· β 1.9K) - Super easy library for BERT based NLP models. Apache-2
@@ -1992,97 +1954,97 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 4.6K / month Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 3.8K / month Β· β±οΈ 19.08.2024):
```
pip install fast-bert
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+detoxify (π₯21 Β· β 970) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 110 Β· π₯ 750K Β· π¦ 740 Β· π 66 - 56% open Β· β±οΈ 19.09.2024):
```
- git clone https://github.com/awslabs/sockeye
+ git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 2.1K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/detoxify) (π¦ 30 Β· β±οΈ 01.02.2024):
```
- pip install sockeye
+ pip install detoxify
```
detoxify (π₯22 Β· β 970) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
+small-text (π₯21 Β· β 600) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 110 Β· π₯ 750K Β· π¦ 730 Β· π 66 - 56% open Β· β±οΈ 19.09.2024):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 65 Β· π¦ 33 Β· π 60 - 25% open Β· β±οΈ 24.11.2024):
```
- git clone https://github.com/unitaryai/detoxify
+ git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 42K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
+- [PyPi](https://pypi.org/project/small-text) (β±οΈ 24.11.2024):
```
- pip install detoxify
+ pip install small-text
+ ```
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 11K Β· β±οΈ 18.08.2024):
+ ```
+ conda install -c conda-forge small-text
```
finetune (π₯22 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
+UForm (π₯20 Β· β 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 79 Β· π¦ 13 Β· π 140 - 15% open Β· β±οΈ 23.07.2024):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 18 Β· π 62 Β· π₯ 470 Β· π¦ 6 Β· π 30 - 30% open Β· β±οΈ 01.10.2024):
```
- git clone https://github.com/IndicoDataSolutions/finetune
+ git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/uform) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
```
- pip install finetune
+ pip install uform
```
small-text (π₯22 Β· β 590) - Active Learning for Text Classification in Python. MIT
+finetune (π₯20 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 65 Β· π¦ 33 Β· π 60 - 25% open Β· β±οΈ 24.11.2024):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 79 Β· π¦ 13 Β· π 140 - 15% open Β· β±οΈ 23.07.2024):
```
- git clone https://github.com/webis-de/small-text
- ```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 980 / month Β· β±οΈ 24.11.2024):
- ```
- pip install small-text
+ git clone https://github.com/IndicoDataSolutions/finetune
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 11K Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/finetune) (π¦ 2 Β· β±οΈ 29.09.2023):
```
- conda install -c conda-forge small-text
+ pip install finetune
```
happy-transformer (π₯22 Β· β 520 Β· π€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
+T5 (π₯19 Β· β 6.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 66 Β· π¦ 290 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 59 Β· π 750 Β· π 450 - 23% open Β· β±οΈ 28.06.2024):
```
- git clone https://github.com/EricFillion/happy-transformer
+ git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.6K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/t5) (π¦ 2 Β· β±οΈ 18.10.2021):
```
- pip install happytransformer
+ pip install t5
```
UForm (π₯20 Β· β 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
+happy-transformer (π₯19 Β· β 520 Β· π€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 18 Β· π 62 Β· π₯ 470 Β· π¦ 6 Β· π 30 - 30% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 67 Β· π¦ 290 Β· π 130 - 15% open Β· β±οΈ 19.03.2024):
```
- git clone https://github.com/unum-cloud/uform
+ git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/happytransformer) (π¦ 5 Β· β±οΈ 05.08.2023):
```
- pip install uform
+ pip install happytransformer
```
textaugment (π₯18 Β· β 400 Β· π€) - TextAugment: Text Augmentation Library. MIT
+Sockeye (π₯18 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 60 Β· π₯ 120 Β· π¦ 140 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/awslabs/sockeye) (π¨βπ» 60 Β· π 320 Β· π₯ 21 Β· π 310 - 3% open Β· β±οΈ 24.10.2024):
```
- git clone https://github.com/dsfsi/textaugment
+ git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/textaugment) (π₯ 5.5K / month Β· π¦ 4 Β· β±οΈ 16.11.2023):
+- [PyPi](https://pypi.org/project/sockeye) (β±οΈ 03.03.2023):
```
- pip install textaugment
+ pip install sockeye
```
OpenNRE (π₯16 Β· β 4.4K Β· π€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
@@ -2100,66 +2062,68 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 250 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 200 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
Show 54 hidden projects...
+Show 56 hidden projects...
-- AllenNLP (π₯36 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 BSD-3
-- fuzzywuzzy (π₯31 Β· β 9.2K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
-- nlpaug (π₯30 Β· β 4.5K Β· π) - Data augmentation for NLP. MIT
-- fastNLP (π₯29 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- AllenNLP (π₯34 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 BSD-3
+- ParlAI (π₯29 Β· β 10K Β· π) - A framework for training and evaluating AI models on a variety of.. MIT Apache-2 MIT
-- langid (π₯28 Β· β 2.3K Β· π) - Stand-alone language identification system. BSD-3
-- underthesea (π₯28 Β· β 1.4K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
-- vaderSentiment (π₯27 Β· β 4.5K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
-- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 MIT
-- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- pySBD (π₯26 Β· β 810 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- fuzzywuzzy (π₯27 Β· β 9.2K Β· π) - Fuzzy String Matching in Python. βοΈGPL-2.0
+- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
+- FARM (π₯27 Β· β 1.7K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 βοΈGPL-3.0
+- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- nlpaug (π₯26 Β· β 4.5K Β· π) - Data augmentation for NLP. MIT
+- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
+- pySBD (π₯26 Β· β 810 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- Ciphey (π₯25 Β· β 18K Β· π) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
- PyText (π₯25 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2
- Snips NLU (π₯25 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
- neuralcoref (π₯25 Β· β 2.9K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
-- Kashgari (π₯25 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 MIT MIT
- MatchZoo (π₯24 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2 Apache-2
-- pytorch-nlp (π₯24 Β· β 2.2K Β· π) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 MIT
-- whoosh (π₯24 Β· β 580 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
+- fastNLP (π₯23 Β· β 3.1K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- langid (π₯23 Β· β 2.3K Β· π) - Stand-alone language identification system. BSD-3
- jiant (π₯23 Β· β 1.6K Β· π) - jiant is an nlp toolkit. MIT
- YouTokenToMe (π₯23 Β· β 960 Β· π) - Unsupervised text tokenizer focused on computational efficiency. MIT
-- gpt-2-simple (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT Apache-2
- NLP Architect (π₯22 Β· β 2.9K Β· π) - A model library for exploring state-of-the-art deep.. Apache-2
- Texthero (π₯22 Β· β 2.9K Β· π) - Text preprocessing, representation and visualization from zero to.. MIT
-- Texar (π₯22 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT BSD-3
-- numerizer (π₯21 Β· β 230) - A Python module to convert natural language numerics into ints and.. MIT
+- Kashgari (π₯22 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 βοΈBSD-1-Clause
+- Texar (π₯21 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 BSD-3 MIT BSD-3
-- lightseq (π₯20 Β· β 3.2K Β· π) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
- DELTA (π₯20 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT
-- Camphr (π₯19 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- gpt-2-simple (π₯19 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT βοΈGPL-3.0
- NeuroNER (π₯18 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- nboost (π₯18 Β· β 680 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- fastT5 (π₯18 Β· β 570 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
-- skift (π₯18 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
-- Translate (π₯16 Β· β 830 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
+- lightseq (π₯17 Β· β 3.2K Β· π) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
+- stop-words (π₯17 Β· β 160 Β· π) - Get list of common stop words in various languages in Python. BSD-3
+- TextBox (π₯16 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- Camphr (π₯16 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- numerizer (π₯16 Β· β 230) - A Python module to convert natural language numerics into ints and.. MIT
- BLINK (π₯15 Β· β 1.2K Β· π) - Entity Linker solution. MIT
+- Translate (π₯15 Β· β 830 Β· π) - Translate - a PyTorch Language Library. BSD-3 Apache-2
- NeuralQA (π₯15 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
-- Headliner (π₯15 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
-- TransferNLP (π₯14 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT MIT
- textvec (π₯13 Β· β 190 Β· π€) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT MIT spacy
@@ -2172,39 +2136,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 12K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.9M Β· π 3.2K - 4% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.2K Β· π¦ 1.9M Β· π 3.3K - 4% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/python-pillow/Pillow
```
-- [PyPi](https://pypi.org/project/Pillow) (π₯ 120M / month Β· π¦ 8.9K Β· β±οΈ 15.10.2024):
- ```
- pip install Pillow
- ```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 47M Β· β±οΈ 18.10.2024):
- ```
- conda install -c conda-forge pillow
- ```
-PyTorch Image Models (π₯42 Β· β 32K) - The largest collection of PyTorch image encoders /.. Apache-2
-
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 160 Β· π 4.8K Β· π₯ 7.3M Β· π¦ 41K Β· π 930 - 5% open Β· β±οΈ 26.11.2024):
-
- ```
- git clone https://github.com/rwightman/pytorch-image-models
- ```
-- [PyPi](https://pypi.org/project/timm) (π₯ 6.3M / month Β· π¦ 950 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/Pillow) (π₯ 130M / month Β· π¦ 8.9K Β· β±οΈ 15.10.2024):
```
- pip install timm
+ pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 270K Β· β±οΈ 17.10.2024):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 47M Β· β±οΈ 18.10.2024):
```
- conda install -c conda-forge timm
+ conda install -c conda-forge pillow
```
torchvision (π₯41 Β· β 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 620 Β· π 7K Β· π₯ 39K Β· π¦ 21 Β· π 3.5K - 29% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 620 Β· π 7K Β· π₯ 39K Β· π¦ 21 Β· π 3.5K - 29% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/pytorch/vision
@@ -2213,114 +2161,102 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.8M Β· β±οΈ 05.11.2024):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.9M Β· β±οΈ 05.11.2024):
```
conda install -c conda-forge torchvision
```
Albumentations (π₯41 Β· β 14K) - Fast and flexible image augmentation library. Paper about.. MIT
-
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 29K Β· π 1.1K - 16% open Β· β±οΈ 21.11.2024):
-
- ```
- git clone https://github.com/albumentations-team/albumentations
- ```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 5.1M / month Β· π¦ 600 Β· β±οΈ 01.11.2024):
- ```
- pip install albumentations
- ```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 210K Β· β±οΈ 22.09.2024):
- ```
- conda install -c conda-forge albumentations
- ```
-MoviePy (π₯41 Β· β 13K) - Video editing with Python. MIT
+PyTorch Image Models (π₯40 Β· β 32K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.6K Β· π¦ 49K Β· π 1.6K - 31% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 160 Β· π 4.8K Β· π₯ 7.3M Β· π¦ 42K Β· π 930 - 4% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/Zulko/moviepy
+ git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.7M / month Β· π¦ 1K Β· β±οΈ 25.11.2024):
+- [PyPi](https://pypi.org/project/timm) (π¦ 1K Β· β±οΈ 03.12.2024):
```
- pip install moviepy
+ pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 280K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 280K Β· β±οΈ 04.12.2024):
```
- conda install -c conda-forge moviepy
+ conda install -c conda-forge timm
```
deepface (π₯39 Β· β 15K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 71 Β· π 2.2K Β· π¦ 4.6K Β· π 1.1K - 0% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 71 Β· π 2.2K Β· π¦ 4.7K Β· π 1.1K - 0% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 280K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 310K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
pip install deepface
```
InsightFace (π₯37 Β· β 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
+MoviePy (π₯38 Β· β 13K) - Video editing with Python. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 62 Β· π 5.4K Β· π₯ 5.5M Β· π¦ 3K Β· π 2.5K - 45% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 170 Β· π 1.6K Β· π¦ 50K Β· π 1.6K - 31% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/deepinsight/insightface
+ git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 260K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/moviepy) (π¦ 1K Β· β±οΈ 25.11.2024):
```
- pip install insightface
+ pip install moviepy
+ ```
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 280K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge moviepy
```
Kornia (π₯37 Β· β 10K Β· π) - Geometric Computer Vision Library for Spatial AI. Apache-2
+Albumentations (π₯37 Β· β 14K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 280 Β· π 970 Β· π₯ 1.5K Β· π¦ 13K Β· π 950 - 30% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 150 Β· π 1.6K Β· π¦ 30K Β· π 1.1K - 16% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/kornia/kornia
+ git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2M / month Β· π¦ 290 Β· β±οΈ 05.11.2024):
+- [PyPi](https://pypi.org/project/albumentations) (π¦ 600 Β· β±οΈ 01.11.2024):
```
- pip install kornia
+ pip install albumentations
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 160K Β· β±οΈ 05.11.2024):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 210K Β· β±οΈ 22.09.2024):
```
- conda install -c conda-forge kornia
+ conda install -c conda-forge albumentations
```
imageio (π₯37 Β· β 1.5K) - Python library for reading and writing image data. BSD-2
+imageio (π₯37 Β· β 1.5K) - Python library for reading and writing image data. BSD-2
- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 300 Β· π₯ 1.4K Β· π¦ 150K Β· π 610 - 16% open Β· β±οΈ 28.11.2024):
```
git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 21M / month Β· π¦ 2.5K Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 24M / month Β· π¦ 2.5K Β· β±οΈ 28.11.2024):
```
pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.2M Β· β±οΈ 17.10.2024):
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.2M Β· β±οΈ 28.11.2024):
```
conda install -c conda-forge imageio
```
MMDetection (π₯36 Β· β 30K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
+InsightFace (π₯36 Β· β 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.5K Β· π¦ 3.2K Β· π 8.5K - 21% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 63 Β· π 5.4K Β· π₯ 5.6M Β· π¦ 3K Β· π 2.5K - 45% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/open-mmlab/mmdetection
+ git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 210K / month Β· π¦ 82 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/insightface) (π¦ 30 Β· β±οΈ 17.12.2022):
```
- pip install mmdet
+ pip install insightface
```
opencv-python (π₯35 Β· β 4.6K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 49 Β· π 850 Β· π¦ 470K Β· π 830 - 16% open Β· β±οΈ 24.07.2024):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 49 Β· π 850 Β· π¦ 480K Β· π 830 - 16% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/opencv/opencv-python
@@ -2341,37 +2277,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 480K Β· β±οΈ 06.11.2024):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 490K Β· β±οΈ 06.11.2024):
```
conda install -c conda-forge detectron2
```
PaddleSeg (π₯34 Β· β 8.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+Kornia (π₯34 Β· β 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.4K - 10% open Β· β±οΈ 21.11.2024):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 280 Β· π 970 Β· π₯ 1.6K Β· π¦ 13K Β· π 950 - 30% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/PaddlePaddle/PaddleSeg
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.6K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/kornia) (π¦ 290 Β· β±οΈ 05.11.2024):
```
- pip install paddleseg
+ pip install kornia
+ ```
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 160K Β· β±οΈ 05.11.2024):
+ ```
+ conda install -c conda-forge kornia
```
Wand (π₯34 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
+PaddleSeg (π₯34 Β· β 8.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 52K Β· π¦ 20K Β· π 430 - 6% open Β· β±οΈ 01.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.3K Β· π 2.4K - 10% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/emcconville/wand
- ```
-- [PyPi](https://pypi.org/project/wand) (π₯ 1M / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
- ```
- pip install wand
+ git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 88K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.7K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
```
- conda install -c conda-forge wand
+ pip install paddleseg
```
vit-pytorch (π₯32 Β· β 21K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
@@ -2381,49 +2317,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 33K / month Β· π¦ 17 Β· β±οΈ 24.11.2024):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 29K / month Β· π¦ 17 Β· β±οΈ 24.11.2024):
```
pip install vit-pytorch
```
lightly (π₯32 Β· β 3.2K) - A python library for self-supervised learning on images. MIT
+MMDetection (π₯31 Β· β 30K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 60 Β· π 280 Β· π¦ 350 Β· π 590 - 12% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.5K Β· π¦ 3.2K Β· π 8.5K - 21% open Β· β±οΈ 05.02.2024):
```
- git clone https://github.com/lightly-ai/lightly
+ git clone https://github.com/open-mmlab/mmdetection
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 58K / month Β· π¦ 17 Β· β±οΈ 07.11.2024):
+- [PyPi](https://pypi.org/project/mmdet) (π¦ 82 Β· β±οΈ 05.01.2024):
```
- pip install lightly
+ pip install mmdet
```
ImageHash (π₯31 Β· β 3.2K) - A Python Perceptual Image Hashing Module. BSD-2
+Wand (π₯31 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 27 Β· π 330 Β· π¦ 15K Β· π 140 - 13% open Β· β±οΈ 09.10.2024):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 52K Β· π¦ 20K Β· π 430 - 6% open Β· β±οΈ 01.10.2024):
```
- git clone https://github.com/JohannesBuchner/imagehash
- ```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.5M / month Β· π¦ 240 Β· β±οΈ 28.09.2022):
- ```
- pip install ImageHash
- ```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 410K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge imagehash
+ git clone https://github.com/emcconville/wand
```
-PaddleDetection (π₯30 Β· β 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 180 Β· π 2.9K Β· π 5.5K - 22% open Β· β±οΈ 21.11.2024):
-
+- [PyPi](https://pypi.org/project/wand) (π¦ 260 Β· β±οΈ 03.11.2023):
```
- git clone https://github.com/PaddlePaddle/PaddleDetection
+ pip install wand
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 620 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 89K Β· β±οΈ 16.06.2023):
```
- pip install paddledet
+ conda install -c conda-forge wand
```
imageai (π₯30 Β· β 8.7K Β· π€) - A python library built to empower developers to build applications.. MIT
@@ -2442,37 +2366,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge imageai
```
sahi (π₯29 Β· β 4.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 590 Β· π₯ 29K Β· π¦ 1.5K Β· β±οΈ 27.11.2024):
-
- ```
- git clone https://github.com/obss/sahi
- ```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 150K / month Β· π¦ 30 Β· β±οΈ 22.11.2024):
- ```
- pip install sahi
- ```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 80K Β· β±οΈ 25.11.2024):
- ```
- conda install -c conda-forge sahi
- ```
-doctr (π₯29 Β· β 3.9K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+doctr (π₯29 Β· β 4K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 55 Β· π 440 Β· π₯ 4.3M Β· π 370 - 7% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 55 Β· π 440 Β· π₯ 4.3M Β· π 380 - 7% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 45K / month Β· π¦ 12 Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/python-doctr) (π¦ 12 Β· β±οΈ 21.10.2024):
```
pip install python-doctr
```
mtcnn (π₯29 Β· β 2.2K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
+mtcnn (π₯29 Β· β 2.2K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
-- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 12 Β· π¦ 6.6K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
+- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 13 Β· π¦ 6.6K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/ipazc/mtcnn
@@ -2486,42 +2394,58 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mtcnn
```
CellProfiler (π₯29 Β· β 920) - An open-source application for biological image analysis. BSD-3
+PaddleDetection (π₯28 Β· β 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 380 Β· π₯ 8.1K Β· π¦ 26 Β· π 3.3K - 9% open Β· β±οΈ 04.11.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 180 Β· π 2.9K Β· π 5.5K - 22% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/CellProfiler/CellProfiler
+ git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 1.8K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/paddledet) (π¦ 2 Β· β±οΈ 19.09.2022):
```
- pip install cellprofiler
+ pip install paddledet
```
vidgear (π₯28 Β· β 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
+ImageHash (π₯28 Β· β 3.3K) - A Python Perceptual Image Hashing Module. BSD-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 1.9K Β· π¦ 650 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 27 Β· π 330 Β· π¦ 15K Β· π 140 - 13% open Β· β±οΈ 09.10.2024):
```
- git clone https://github.com/abhiTronix/vidgear
+ git clone https://github.com/JohannesBuchner/imagehash
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 21K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
+- [PyPi](https://pypi.org/project/ImageHash) (π¦ 240 Β· β±οΈ 28.09.2022):
```
- pip install vidgear
+ pip install ImageHash
+ ```
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 410K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge imagehash
+ ```
+lightly (π₯28 Β· β 3.2K) - A python library for self-supervised learning on images. MIT
+
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 60 Β· π 280 Β· π¦ 350 Β· π 590 - 12% open Β· β±οΈ 03.12.2024):
+
+ ```
+ git clone https://github.com/lightly-ai/lightly
+ ```
+- [PyPi](https://pypi.org/project/lightly) (π¦ 17 Β· β±οΈ 29.11.2024):
+ ```
+ pip install lightly
```
mahotas (π₯28 Β· β 850) - Computer Vision in Python. MIT
+mahotas (π₯28 Β· β 850) - Computer Vision in Python. MIT
- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.4K Β· π 91 - 23% open Β· β±οΈ 17.07.2024):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 23K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 24K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 520K Β· β±οΈ 18.07.2024):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 530K Β· β±οΈ 18.07.2024):
```
conda install -c conda-forge mahotas
```
@@ -2533,61 +2457,73 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 58K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 56K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
facenet-pytorch (π₯27 Β· β 4.6K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+sahi (π₯27 Β· β 4.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.4M Β· π¦ 2.5K Β· π 180 - 41% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 590 Β· π₯ 29K Β· π¦ 1.5K Β· β±οΈ 27.11.2024):
```
- git clone https://github.com/timesler/facenet-pytorch
+ git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 110K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/sahi) (π¦ 30 Β· β±οΈ 22.11.2024):
```
- pip install facenet-pytorch
+ pip install sahi
+ ```
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 80K Β· β±οΈ 25.11.2024):
+ ```
+ conda install -c conda-forge sahi
```
Norfair (π₯26 Β· β 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
+vidgear (π₯27 Β· β 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 250 Β· π₯ 340 Β· π¦ 240 Β· π 170 - 14% open Β· β±οΈ 27.07.2024):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 250 Β· π₯ 2K Β· π¦ 650 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
```
- git clone https://github.com/tryolabs/norfair
+ git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 22K / month Β· π¦ 9 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 21K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
```
- pip install norfair
+ pip install vidgear
```
pyvips (π₯26 Β· β 650) - python binding for libvips using cffi. MIT
+CellProfiler (π₯27 Β· β 930) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 840 Β· π 450 - 42% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 380 Β· π₯ 8.1K Β· π¦ 26 Β· π 3.3K - 9% open Β· β±οΈ 04.11.2024):
```
- git clone https://github.com/libvips/pyvips
+ git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 65K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/cellprofiler) (π¦ 2 Β· β±οΈ 16.09.2024):
```
- pip install pyvips
+ pip install cellprofiler
+ ```
+facenet-pytorch (π₯26 Β· β 4.6K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
+
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.4M Β· π¦ 2.5K Β· π 180 - 41% open Β· β±οΈ 02.08.2024):
+
+ ```
+ git clone https://github.com/timesler/facenet-pytorch
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 140K Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π¦ 51 Β· β±οΈ 29.04.2024):
```
- conda install -c conda-forge pyvips
+ pip install facenet-pytorch
```
pytorchvideo (π₯25 Β· β 3.3K) - A deep learning library for video understanding research. Apache-2
+Norfair (π₯26 Β· β 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 57 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 250 Β· π₯ 340 Β· π¦ 240 Β· π 170 - 14% open Β· β±οΈ 27.07.2024):
```
- git clone https://github.com/facebookresearch/pytorchvideo
+ git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 35K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 22K / month Β· π¦ 9 Β· β±οΈ 30.05.2022):
```
- pip install pytorchvideo
+ pip install norfair
```
tensorflow-graphics (π₯25 Β· β 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
@@ -2597,21 +2533,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 23K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 22K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
pip install tensorflow-graphics
```
MMF (π₯24 Β· β 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3
+Image Deduplicator (π₯24 Β· β 5.2K) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 21 Β· π 690 - 21% open Β· β±οΈ 15.11.2024):
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 15 Β· π 450 Β· π¦ 150 Β· π 120 - 29% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/facebookresearch/mmf
+ git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 27K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
```
- pip install mmf
+ pip install imagededup
```
segmentation_models (π₯24 Β· β 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT
@@ -2621,12 +2557,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 32K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 33K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
pip install segmentation_models
```
ffcv (π₯24 Β· β 2.9K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
+ffcv (π₯24 Β· β 2.9K Β· π€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2
- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 57 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
@@ -2638,52 +2574,68 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install ffcv
```
kubric (π₯24 Β· β 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
+pyvips (π₯24 Β· β 650) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 31 Β· π 230 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 850 Β· π 450 - 42% open Β· β±οΈ 29.10.2024):
```
- git clone https://github.com/google-research/kubric
+ git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 25K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/pyvips) (π¦ 77 Β· β±οΈ 28.04.2024):
```
- pip install kubric-nightly
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 150K Β· β±οΈ 06.09.2024):
+ ```
+ conda install -c conda-forge pyvips
+ ```
+MMF (π₯22 Β· β 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3
+
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 21 Β· π 690 - 21% open Β· β±οΈ 15.11.2024):
+
+ ```
+ git clone https://github.com/facebookresearch/mmf
+ ```
+- [PyPi](https://pypi.org/project/mmf) (π¦ 1 Β· β±οΈ 12.06.2020):
+ ```
+ pip install mmf
```
vissl (π₯23 Β· β 3.3K Β· π€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT
+vissl (π₯22 Β· β 3.3K Β· π€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT
- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 55 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 160 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (π₯ 130 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
```
pip install vissl
```
icevision (π₯22 Β· β 850) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2
+pytorchvideo (π₯21 Β· β 3.3K) - A deep learning library for video understanding research. Apache-2
-- [GitHub](https://github.com/airctic/icevision) (π¨βπ» 41 Β· π 130 Β· π 570 - 10% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 57 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/airctic/icevision
+ git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 3.3K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π¦ 24 Β· β±οΈ 20.01.2022):
```
- pip install icevision
+ pip install pytorchvideo
```
PySlowFast (π₯21 Β· β 6.6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+kubric (π₯21 Β· β 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 34 Β· π 1.2K Β· π¦ 20 Β· π 700 - 58% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 31 Β· π 230 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 29.11.2024):
```
- git clone https://github.com/facebookresearch/SlowFast
+ git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 58 / month Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/kubric-nightly) (β±οΈ 27.12.2023):
```
- pip install pyslowfast
+ pip install kubric-nightly
```
DEβ«ΆTR (π₯20 Β· β 14K Β· π€) - End-to-End Object Detection with Transformers. Apache-2
@@ -2694,40 +2646,63 @@ _Libraries for image & video processing, manipulation, and augmentation as well
git clone https://github.com/facebookresearch/detr
```
scenic (π₯17 Β· β 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+PySlowFast (π₯20 Β· β 6.7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
+
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 34 Β· π 1.2K Β· π¦ 21 Β· π 700 - 58% open Β· β±οΈ 26.11.2024):
+
+ ```
+ git clone https://github.com/facebookresearch/SlowFast
+ ```
+- [PyPi](https://pypi.org/project/pyslowfast) (β±οΈ 15.01.2020):
+ ```
+ pip install pyslowfast
+ ```
+icevision (π₯19 Β· β 850) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2
+
+- [GitHub](https://github.com/airctic/icevision) (π¨βπ» 41 Β· π 130 Β· π 570 - 10% open Β· β±οΈ 31.10.2024):
+
+ ```
+ git clone https://github.com/airctic/icevision
+ ```
+- [PyPi](https://pypi.org/project/icevision) (π¦ 6 Β· β±οΈ 10.02.2022):
+ ```
+ pip install icevision
+ ```
+scenic (π₯18 Β· β 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 88 Β· π 440 Β· π 270 - 55% open Β· β±οΈ 19.10.2024):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 89 Β· π 440 Β· π 270 - 55% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/google-research/scenic
```
Show 24 hidden projects...
+Show 23 hidden projects...
-- scikit-image (π₯42 Β· β 6.1K) - Image processing in Python. βUnlicensed
-- imgaug (π₯36 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
-- glfw (π₯36 Β· β 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- Face Recognition (π₯34 Β· β 54K Β· π) - The worlds simplest facial recognition api for Python.. MIT βUnlicensed βUnlicensed
+- glfw (π₯35 Β· β 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
+- imgaug (π₯33 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
+- PyTorch3D (π₯33 Β· β 8.9K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed MIT MIT
-- GluonCV (π₯30 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
-- Augmentor (π₯27 Β· β 5.1K Β· π) - Image augmentation library in Python for machine learning. MIT
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- GluonCV (π₯25 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 βοΈPIL
-- Image Deduplicator (π₯24 Β· β 5.2K Β· π) - Finding duplicate images made easy!. Apache-2 MIT
-- Luminoth (π₯22 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3 MIT MIT
+- Luminoth (π₯23 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3 Apache-2
- Image Super-Resolution (π₯21 Β· β 4.7K Β· π) - Super-scale your images and run experiments with.. Apache-2 Apache-2
+- Classy Vision (π₯21 Β· β 1.6K Β· π) - An end-to-end PyTorch framework for image and video.. MIT MIT
- nude.py (π₯20 Β· β 930 Β· π) - Nudity detection with Python. MIT
-- detecto (π₯20 Β· β 610 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT Apache-2
- Caer (π₯18 Β· β 780 Β· π) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT
-- solt (π₯18 Β· β 260) - Streaming over lightweight data transformations. MIT
-- Torch Points 3D (π₯17 Β· β 220 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT MIT
- HugsVision (π₯16 Β· β 200 Β· π) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
+- pycls (π₯15 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT BSD-3
@@ -2737,14 +2712,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
_Libraries for graph processing, clustering, embedding, and machine learning tasks._
-networkx (π₯44 Β· β 15K) - Network Analysis in Python. BSD-3
+networkx (π₯41 Β· β 15K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 760 Β· π 3.3K Β· π₯ 76 Β· π¦ 320K Β· π 3.4K - 10% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 750 Β· π 3.3K Β· π₯ 76 Β· π¦ 320K Β· π 3.4K - 10% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 69M / month Β· π¦ 9.6K Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/networkx) (π¦ 9.6K Β· β±οΈ 21.10.2024):
```
pip install networkx
```
@@ -2753,14 +2728,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge networkx
```
PyTorch Geometric (π₯40 Β· β 21K) - Graph Neural Network Library for PyTorch. MIT
+PyTorch Geometric (π₯38 Β· β 22K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 530 Β· π 3.7K Β· π¦ 7.1K Β· π 3.7K - 28% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 530 Β· π 3.7K Β· π¦ 7.1K Β· π 3.7K - 28% open Β· β±οΈ 28.11.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 430K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
@@ -2776,24 +2751,24 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 1.1M / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 1M / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
pygraphistry (π₯32 Β· β 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
+pygraphistry (π₯32 Β· β 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 45 Β· π 200 Β· π¦ 130 Β· π 340 - 51% open Β· β±οΈ 08.11.2024):
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 13K / month Β· π¦ 6 Β· β±οΈ 20.10.2024):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 14K / month Β· π¦ 6 Β· β±οΈ 20.10.2024):
```
pip install graphistry
```
PyKEEN (π₯32 Β· β 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+PyKEEN (π₯32 Β· β 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 190 Β· π₯ 220 Β· π¦ 260 Β· π 580 - 19% open Β· β±οΈ 10.11.2024):
@@ -2805,18 +2780,6 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install pykeen
```
Spektral (π₯28 Β· β 2.4K Β· π€) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 350 Β· π 280 - 25% open Β· β±οΈ 21.01.2024):
-
- ```
- git clone https://github.com/danielegrattarola/spektral
- ```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 10K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
- ```
- pip install spektral
- ```
-ogb (π₯28 Β· β 2K Β· π€) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2.1K Β· π 300 - 9% open Β· β±οΈ 01.02.2024):
@@ -2835,26 +2798,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
AmpliGraph (π₯27 Β· β 2.2K Β· π€) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 57 Β· π 230 - 13% open Β· β±οΈ 28.02.2024):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 58 Β· π 230 - 13% open Β· β±οΈ 28.02.2024):
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.9K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
```
pip install ampligraph
```
pytorch_geometric_temporal (π₯25 Β· β 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+Spektral (π₯24 Β· β 2.4K Β· π€) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 34 Β· π 370 Β· π 200 - 20% open Β· β±οΈ 14.10.2024):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 350 Β· π 280 - 25% open Β· β±οΈ 21.01.2024):
```
- git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
+ git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 3K / month Β· π¦ 7 Β· β±οΈ 04.09.2022):
+- [PyPi](https://pypi.org/project/spektral) (π¦ 7 Β· β±οΈ 21.01.2024):
```
- pip install torch-geometric-temporal
+ pip install spektral
```
Node2Vec (π₯24 Β· β 1.2K) - Implementation of the node2vec algorithm. MIT
@@ -2875,66 +2838,42 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch-BigGraph (π₯23 Β· β 3.4K Β· π€) - Generate embeddings from large-scale graph-structured.. BSD-3
-- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 32 Β· π 450 Β· π₯ 210 Β· π 200 - 32% open Β· β±οΈ 03.03.2024):
-
- ```
- git clone https://github.com/facebookresearch/PyTorch-BigGraph
- ```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 390K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
- ```
- pip install torchbiggraph
- ```
-torch-cluster (π₯23 Β· β 830) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-
-- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 36 Β· π 150 Β· π 180 - 19% open Β· β±οΈ 14.11.2024):
-
- ```
- git clone https://github.com/rusty1s/pytorch_cluster
- ```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 19K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
- ```
- pip install torch-cluster
- ```
-- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 230K Β· β±οΈ 28.08.2024):
- ```
- conda install -c conda-forge pytorch_cluster
- ```
-deepsnap (π₯20 Β· β 550 Β· π€) - Python library assists deep learning on graphs. MIT
-
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 14 Β· π¦ 120 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
+- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (π¨βπ» 32 Β· π 450 Β· π₯ 210 Β· π 200 - 32% open Β· β±οΈ 03.03.2024):
```
- git clone https://github.com/snap-stanford/deepsnap
+ git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 520 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 350K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
```
- pip install deepsnap
+ pip install torchbiggraph
```
Sematch (π₯18 Β· β 430 Β· π€) - semantic similarity framework for knowledge graph. Apache-2
+torch-cluster (π₯23 Β· β 830) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
-- [GitHub](https://github.com/gsi-upm/sematch) (π¨βπ» 10 Β· π 110 Β· π¦ 49 Β· π 34 - 44% open Β· β±οΈ 07.11.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 36 Β· π 150 Β· π 180 - 19% open Β· β±οΈ 14.11.2024):
```
- git clone https://github.com/gsi-upm/sematch
+ git clone https://github.com/rusty1s/pytorch_cluster
+ ```
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 18K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
+ ```
+ pip install torch-cluster
```
-- [PyPi](https://pypi.org/project/sematch) (π₯ 300 / month Β· β±οΈ 17.04.2017):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 230K Β· β±οΈ 28.08.2024):
```
- pip install sematch
+ conda install -c conda-forge pytorch_cluster
```
kglib (π₯17 Β· β 550 Β· π€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
+pytorch_geometric_temporal (π₯22 Β· β 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/typedb/typedb-ml) (π¨βπ» 13 Β· π 98 Β· π₯ 250 Β· π 63 - 19% open Β· β±οΈ 18.11.2023):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 34 Β· π 370 Β· π 200 - 20% open Β· β±οΈ 14.10.2024):
```
- git clone https://github.com/vaticle/kglib
+ git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 240 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π¦ 7 Β· β±οΈ 04.09.2022):
```
- pip install grakn-kglib
+ pip install torch-geometric-temporal
```
AutoGL (π₯15 Β· β 1.1K Β· π€) - An autoML framework & toolkit for machine learning on graphs. Apache-2
@@ -2969,22 +2908,25 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c milagraph graphvite
```
Show 18 hidden projects...
+Show 21 hidden projects...
-- igraph (π₯34 Β· β 1.3K) - Python interface for igraph. βοΈGPL-2.0
-- StellarGraph (π₯28 Β· β 3K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈGPL-2.0
+- StellarGraph (π₯27 Β· β 3K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2 βοΈLGPL-3.0
-- Paddle Graph Learning (π₯26 Β· β 1.6K Β· π) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 βοΈGPL-3.0
+- Paddle Graph Learning (π₯23 Β· β 1.6K Β· π) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 Apache-2 Apache-2 Apache-2 MIT
- DeepWalk (π₯20 Β· β 2.7K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
-- DIG (π₯20 Β· β 1.9K Β· π€) - A library for graph deep learning research. βοΈGPL-3.0
- GraphGym (π₯19 Β· β 1.7K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
-- DeepGraph (π₯19 Β· β 290 Β· π€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2 βοΈGPL-3.0
+- Sematch (π₯18 Β· β 430 Β· π) - semantic similarity framework for knowledge graph. Apache-2
+- DeepGraph (π₯18 Β· β 290 Β· π€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT
+- kglib (π₯17 Β· β 550 Β· π) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2
+- Euler (π₯15 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2 MIT MIT MIT speechbrain (π₯41 Β· β 9K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯40 Β· β 9K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 250 Β· π 1.4K Β· π¦ 2.5K Β· π 1.2K - 12% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 250 Β· π 1.4K Β· π¦ 2.6K Β· π 1.2K - 12% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 3.4M / month Β· π¦ 67 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 3.3M / month Β· π¦ 67 Β· β±οΈ 30.10.2024):
```
pip install speechbrain
```
espnet (π₯38 Β· β 8.5K) - End-to-End Speech Processing Toolkit. Apache-2
-
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 470 Β· π 2.2K Β· π₯ 83 Β· π¦ 390 Β· π 2.5K - 14% open Β· β±οΈ 27.11.2024):
-
- ```
- git clone https://github.com/espnet/espnet
- ```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 22K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
- ```
- pip install espnet
- ```
-SpeechRecognition (π₯35 Β· β 8.5K) - Speech recognition module for Python, supporting several.. BSD-3
+Coqui TTS (π₯34 Β· β 36K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 51 Β· π 2.4K Β· π¦ 21 Β· π 660 - 50% open Β· β±οΈ 09.11.2024):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.4K Β· π₯ 3.7M Β· π¦ 2K Β· π 1.1K - 7% open Β· β±οΈ 10.02.2024):
```
- git clone https://github.com/Uberi/speech_recognition
+ git clone https://github.com/coqui-ai/TTS
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.4M / month Β· π¦ 580 Β· β±οΈ 20.10.2024):
+- [PyPi](https://pypi.org/project/tts) (π₯ 140K / month Β· π¦ 53 Β· β±οΈ 12.12.2023):
```
- pip install SpeechRecognition
+ pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 210K Β· β±οΈ 07.11.2024):
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 20K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge speechrecognition
+ conda install -c conda-forge tts
```
torchaudio (π₯35 Β· β 2.5K) - Data manipulation and transformation for audio signal.. BSD-2
+espnet (π₯33 Β· β 8.6K Β· π) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 660 Β· π 990 - 26% open Β· β±οΈ 15.11.2024):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 470 Β· π 2.2K Β· π₯ 83 Β· π¦ 390 Β· π 2.5K - 14% open Β· β±οΈ 04.12.2024):
```
- git clone https://github.com/pytorch/audio
+ git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 6.2M / month Β· π¦ 1.4K Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/espnet) (π¦ 12 Β· β±οΈ 04.12.2024):
```
- pip install torchaudio
+ pip install espnet
```
Coqui TTS (π₯34 Β· β 36K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
+spleeter (π₯32 Β· β 26K Β· π) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.4K Β· π₯ 3.7M Β· π¦ 1.9K Β· π 1.1K - 7% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 21 Β· π 2.8K Β· π₯ 3.6M Β· π¦ 840 Β· π 800 - 29% open Β· β±οΈ 29.10.2024):
```
- git clone https://github.com/coqui-ai/TTS
+ git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/tts) (π₯ 140K / month Β· π¦ 53 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 25K / month Β· π¦ 12 Β· β±οΈ 10.06.2022):
```
- pip install tts
+ pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 19K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 98K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge tts
+ conda install -c conda-forge spleeter
```
Magenta (π₯32 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 540 Β· π 1K - 41% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 550 Β· π 1K - 41% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 7.4K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 7.9K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
```
pip install magenta
```
SpeechRecognition (π₯32 Β· β 8.5K) - Speech recognition module for Python, supporting several.. BSD-3
+
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 51 Β· π 2.4K Β· π¦ 21 Β· π 660 - 50% open Β· β±οΈ 09.11.2024):
+
+ ```
+ git clone https://github.com/Uberi/speech_recognition
+ ```
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π¦ 580 Β· β±οΈ 20.10.2024):
+ ```
+ pip install SpeechRecognition
+ ```
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 210K Β· β±οΈ 07.11.2024):
+ ```
+ conda install -c conda-forge speechrecognition
+ ```
+librosa (π₯32 Β· β 7.2K) - Python library for audio and music analysis. ISC
- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 960 Β· π 1.2K - 4% open Β· β±οΈ 26.11.2024):
@@ -3089,75 +3035,83 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 830K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 840K Β· β±οΈ 15.05.2024):
```
conda install -c conda-forge librosa
```
spleeter (π₯31 Β· β 26K) - Deezer source separation library including pretrained models. MIT
+audioread (π₯29 Β· β 500 Β· π€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 21 Β· π 2.8K Β· π₯ 3.6M Β· π¦ 840 Β· π 800 - 29% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 25 Β· π 110 Β· π¦ 26K Β· π 94 - 39% open Β· β±οΈ 15.12.2023):
```
- git clone https://github.com/deezer/spleeter
+ git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 26K / month Β· π¦ 12 Β· β±οΈ 10.06.2022):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 2.2M / month Β· π¦ 140 Β· β±οΈ 27.09.2023):
```
- pip install spleeter
+ pip install audioread
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 97K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 910K Β· β±οΈ 03.09.2024):
```
- conda install -c conda-forge spleeter
+ conda install -c conda-forge audioread
```
audiomentations (π₯31 Β· β 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT
+torchaudio (π₯28 Β· β 2.6K Β· π) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 29 Β· π 190 Β· π¦ 610 Β· π 190 - 25% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 660 Β· π 990 - 26% open Β· β±οΈ 15.11.2024):
```
- git clone https://github.com/iver56/audiomentations
+ git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 54K / month Β· π¦ 18 Β· β±οΈ 03.09.2024):
+- [PyPi](https://pypi.org/project/torchaudio) (π¦ 1.4K Β· β±οΈ 29.10.2024):
```
- pip install audiomentations
+ pip install torchaudio
```
Porcupine (π₯30 Β· β 3.8K) - On-device wake word detection powered by deep learning. Apache-2
+audiomentations (π₯27 Β· β 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 39 Β· π 500 Β· π¦ 36 Β· π 560 - 0% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 30 Β· π 190 Β· π¦ 620 Β· π 190 - 25% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/Picovoice/Porcupine
+ git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 11K / month Β· π¦ 35 Β· β±οΈ 27.08.2024):
+- [PyPi](https://pypi.org/project/audiomentations) (π¦ 18 Β· β±οΈ 03.09.2024):
```
- pip install pvporcupine
+ pip install audiomentations
```
audioread (π₯30 Β· β 490 Β· π€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
+Madmom (π₯27 Β· β 1.4K) - Python audio and music signal processing library. BSD-3
-- [GitHub](https://github.com/beetbox/audioread) (π¨βπ» 25 Β· π 110 Β· π¦ 26K Β· π 94 - 39% open Β· β±οΈ 15.12.2023):
+- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 200 Β· π¦ 450 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
```
- git clone https://github.com/beetbox/audioread
+ git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 2.1M / month Β· π¦ 140 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 2.3K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
- pip install audioread
+ pip install madmom
+ ```
+Porcupine (π₯26 Β· β 3.8K) - On-device wake word detection powered by deep learning. Apache-2
+
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 39 Β· π 500 Β· π¦ 36 Β· π 560 - 0% open Β· β±οΈ 25.11.2024):
+
+ ```
+ git clone https://github.com/Picovoice/Porcupine
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 900K Β· β±οΈ 03.09.2024):
+- [PyPi](https://pypi.org/project/pvporcupine) (π¦ 35 Β· β±οΈ 27.08.2024):
```
- conda install -c conda-forge audioread
+ pip install pvporcupine
```
python-soundfile (π₯29 Β· β 720) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+python-soundfile (π₯25 Β· β 720) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 35 Β· π 110 Β· π₯ 21K Β· π¦ 46K Β· π 260 - 47% open Β· β±οΈ 07.11.2024):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 37 Β· π 110 Β· π₯ 21K Β· π¦ 47K Β· π 260 - 47% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 3.7M / month Β· π¦ 780 Β· β±οΈ 15.02.2023):
+- [PyPi](https://pypi.org/project/soundfile) (π¦ 780 Β· β±οΈ 15.02.2023):
```
pip install soundfile
```
@@ -3166,38 +3120,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
tinytag (π₯29 Β· β 710) - Python library for reading audio file metadata. MIT
+tinytag (π₯25 Β· β 710) - Python library for reading audio file metadata. MIT
- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.1K Β· π 120 - 3% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 48K / month Β· π¦ 110 Β· β±οΈ 03.11.2024):
+- [PyPi](https://pypi.org/project/tinytag) (π¦ 110 Β· β±οΈ 03.11.2024):
```
pip install tinytag
```
Madmom (π₯27 Β· β 1.4K) - Python audio and music signal processing library. BSD-3
-
-- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 200 Β· π¦ 450 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
-
- ```
- git clone https://github.com/CPJKU/madmom
- ```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 2.4K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
- ```
- pip install madmom
- ```
-DDSP (π₯24 Β· β 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2
+DDSP (π₯22 Β· β 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2
-- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 330 Β· π¦ 61 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 330 Β· π¦ 62 Β· π 170 - 28% open Β· β±οΈ 23.09.2024):
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 4.7K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -3208,30 +3150,30 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
nnAudio (π₯22 Β· β 1K Β· π€) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 89 Β· π¦ 240 Β· π 63 - 28% open Β· β±οΈ 13.02.2024):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 90 Β· π¦ 240 Β· π 63 - 28% open Β· β±οΈ 13.02.2024):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 18K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 19K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
```
pip install nnAudio
```
Show 13 hidden projects...
-- DeepSpeech (π₯34 Β· β 25K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MIT
-- pyAudioAnalysis (π₯28 Β· β 5.9K Β· π) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- Essentia (π₯28 Β· β 2.9K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- DeepSpeech (π₯33 Β· β 25K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MIT
+- pyAudioAnalysis (π₯28 Β· β 5.9K Β· π) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
- aubio (π₯27 Β· β 3.3K Β· π€) - a library for audio and music analysis. βοΈGPL-3.0
-- TTS (π₯26 Β· β 9.4K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- TTS (π₯26 Β· β 9.5K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
+- Essentia (π₯24 Β· β 2.9K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
- python_speech_features (π₯24 Β· β 2.4K Β· π) - This library provides common speech features for ASR.. MIT
-- Dejavu (π₯23 Β· β 6.4K Β· π) - Audio fingerprinting and recognition in Python. MIT
+- Dejavu (π₯23 Β· β 6.5K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯22 Β· β 920 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
-- Julius (π₯21 Β· β 430 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT ISC
+- Julius (π₯16 Β· β 430 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT ISC
- textlesslib (π₯10 Β· β 530 Β· π) - Library for Textless Spoken Language Processing. MIT
@@ -3242,14 +3184,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
_Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
-pydeck (π₯43 Β· β 12K) - WebGL2 powered visualization framework. MIT
+pydeck (π₯41 Β· β 12K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 280 Β· π 2.1K Β· π¦ 8.4K Β· π 3.1K - 11% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 280 Β· π 2.1K Β· π¦ 8.4K Β· π 3.1K - 11% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 7.3M / month Β· π¦ 120 Β· β±οΈ 10.05.2024):
+- [PyPi](https://pypi.org/project/pydeck) (π¦ 120 Β· β±οΈ 10.05.2024):
```
pip install pydeck
```
@@ -3257,14 +3199,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 640K / month Β· π¦ 300 Β· β±οΈ 24.11.2024):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 620K / month Β· π¦ 300 Β· β±οΈ 24.11.2024):
```
npm install deck.gl
```
Shapely (π₯40 Β· β 3.9K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 570 Β· π₯ 3.7K Β· π¦ 86K Β· π 1.2K - 23% open Β· β±οΈ 16.11.2024):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 570 Β· π₯ 3.7K Β· π¦ 87K Β· π 1.2K - 23% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/shapely/shapely
@@ -3273,14 +3215,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install shapely
```
-- [Conda](https://anaconda.org/conda-forge/shapely):
+- [Conda](https://anaconda.org/conda-forge/shapely) (π₯ 11M Β· β±οΈ 25.09.2024):
```
conda install -c conda-forge shapely
```
folium (π₯39 Β· β 6.9K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 47K Β· π 1.1K - 7% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 47K Β· π 1.1K - 7% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/python-visualization/folium
@@ -3294,14 +3236,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge folium
```
GeoPandas (π₯39 Β· β 4.5K) - Python tools for geographic data. BSD-3
+GeoPandas (π₯37 Β· β 4.5K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 930 Β· π₯ 2.8K Β· π¦ 44K Β· π 1.7K - 26% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 930 Β· π₯ 2.8K Β· π¦ 45K Β· π 1.7K - 26% open Β· β±οΈ 29.11.2024):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.4M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π¦ 2.8K Β· β±οΈ 02.07.2024):
```
pip install geopandas
```
@@ -3310,57 +3252,41 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geopandas
```
Rasterio (π₯38 Β· β 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-
-- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 530 Β· π₯ 980 Β· π¦ 14K Β· π 1.8K - 7% open Β· β±οΈ 15.11.2024):
-
- ```
- git clone https://github.com/rasterio/rasterio
- ```
-- [PyPi](https://pypi.org/project/rasterio) (π₯ 3.6M / month Β· π¦ 1.5K Β· β±οΈ 30.10.2024):
- ```
- pip install rasterio
- ```
-- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 3.8M Β· β±οΈ 18.11.2024):
- ```
- conda install -c conda-forge rasterio
- ```
-ArcGIS API (π₯37 Β· β 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
+Fiona (π₯37 Β· β 1.2K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 94 Β· π 1.1K Β· π₯ 13K Β· π¦ 860 Β· π 780 - 9% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 76 Β· π 200 Β· π¦ 24K Β· π 810 - 3% open Β· β±οΈ 18.11.2024):
```
- git clone https://github.com/Esri/arcgis-python-api
+ git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 92K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 4.9M / month Β· π¦ 300 Β· β±οΈ 16.09.2024):
```
- pip install arcgis
+ pip install fiona
```
-- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 6.2M Β· β±οΈ 19.11.2024):
```
- docker pull esridocker/arcgis-api-python-notebook
+ conda install -c conda-forge fiona
```
Fiona (π₯37 Β· β 1.2K) - Fiona reads and writes geographic data files. BSD-3
+Rasterio (π₯36 Β· β 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 76 Β· π 200 Β· π¦ 23K Β· π 810 - 3% open Β· β±οΈ 18.11.2024):
+- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 540 Β· π₯ 980 Β· π¦ 14K Β· π 1.9K - 7% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/Toblerity/Fiona
+ git clone https://github.com/rasterio/rasterio
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 4.9M / month Β· π¦ 300 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/rasterio) (π¦ 1.5K Β· β±οΈ 02.12.2024):
```
- pip install fiona
+ pip install rasterio
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 6.2M Β· β±οΈ 19.11.2024):
+- [Conda](https://anaconda.org/conda-forge/rasterio) (π₯ 3.9M Β· β±οΈ 02.12.2024):
```
- conda install -c conda-forge fiona
+ conda install -c conda-forge rasterio
```
pyproj (π₯36 Β· β 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 68 Β· π 210 Β· π¦ 36K Β· π 620 - 5% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 69 Β· π 210 Β· π¦ 37K Β· π 630 - 5% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/pyproj4/pyproj
@@ -3374,30 +3300,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pyproj
```
geopy (π₯32 Β· β 4.5K Β· π€) - Geocoding library for Python. MIT
+ArcGIS API (π₯33 Β· β 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/geopy/geopy) (π¨βπ» 130 Β· π 650 Β· π₯ 99 Β· π 300 - 14% open Β· β±οΈ 23.11.2023):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 94 Β· π 1.1K Β· π₯ 13K Β· π¦ 870 Β· π 790 - 9% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/geopy/geopy
+ git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/geopy) (π₯ 6.2M / month Β· π¦ 900 Β· β±οΈ 23.11.2023):
+- [PyPi](https://pypi.org/project/arcgis) (π¦ 40 Β· β±οΈ 01.10.2024):
```
- pip install geopy
+ pip install arcgis
```
-- [Conda](https://anaconda.org/conda-forge/geopy) (π₯ 1.5M Β· β±οΈ 28.02.2024):
+- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook):
```
- conda install -c conda-forge geopy
+ docker pull esridocker/arcgis-api-python-notebook
```
ipyleaflet (π₯32 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
+ipyleaflet (π₯31 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 90 Β· π 360 Β· π¦ 13K Β· π 660 - 45% open Β· β±οΈ 21.10.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 250K / month Β· π¦ 280 Β· β±οΈ 22.07.2024):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π¦ 280 Β· β±οΈ 22.07.2024):
```
pip install ipyleaflet
```
@@ -3405,7 +3331,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 6.5K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 6.4K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
@@ -3417,7 +3343,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 33K / month Β· π¦ 49 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/pysal) (π¦ 49 Β· β±οΈ 30.07.2024):
```
pip install pysal
```
@@ -3426,14 +3352,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pysal
```
geojson (π₯31 Β· β 920) - Python bindings and utilities for GeoJSON. BSD-3
+geojson (π₯31 Β· β 930) - Python bindings and utilities for GeoJSON. BSD-3
- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 19K Β· π 100 - 24% open Β· β±οΈ 25.10.2024):
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 3.4M / month Β· π¦ 700 Β· β±οΈ 05.11.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 3.3M / month Β· π¦ 700 Β· β±οΈ 05.11.2023):
```
pip install geojson
```
@@ -3442,18 +3368,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geojson
```
GeoViews (π₯29 Β· β 600) - Simple, concise geographical visualization in Python. BSD-3
+GeoViews (π₯28 Β· β 600) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 77 Β· π¦ 1.2K Β· π 350 - 31% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 77 Β· π¦ 1.2K Β· π 360 - 31% open Β· β±οΈ 28.11.2024):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 23K / month Β· π¦ 63 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/geoviews) (π¦ 63 Β· β±οΈ 28.11.2024):
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 260K Β· β±οΈ 17.09.2024):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 260K Β· β±οΈ 29.11.2024):
```
conda install -c conda-forge geoviews
```
@@ -3465,7 +3391,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 220K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 210K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
@@ -3474,12 +3400,13 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge pymap3d
```
Show 8 hidden projects...
+Show 9 hidden projects...
+- geopy (π₯32 Β· β 4.5K Β· π) - Geocoding library for Python. MIT
- Geocoder (π₯32 Β· β 1.6K Β· π) - Python Geocoder. MIT
- Satpy (π₯32 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- Sentinelsat (π₯27 Β· β 990 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- EarthPy (π₯26 Β· β 510 Β· π) - A package built to support working with spatial data using open.. BSD-3
+- Sentinelsat (π₯25 Β· β 990 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- prettymaps (π₯24 Β· β 11K) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
- Mapbox GL (π₯24 Β· β 670 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT BSD-3 yfinance (π₯42 Β· β 15K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.4K Β· π¦ 52K Β· π 1.4K - 13% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.4K Β· π¦ 53K Β· π 1.4K - 13% open Β· β±οΈ 19.11.2024):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 4.2M / month Β· π¦ 710 Β· β±οΈ 19.11.2024):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 3.9M / month Β· π¦ 710 Β· β±οΈ 19.11.2024):
```
pip install yfinance
```
@@ -3509,41 +3436,25 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c ranaroussi yfinance
```
ta (π₯30 Β· β 4.4K Β· π€) - Technical Analysis Library using Pandas and Numpy. MIT
-
-- [GitHub](https://github.com/bukosabino/ta) (π¨βπ» 34 Β· π 930 Β· π¦ 4.6K Β· π 240 - 57% open Β· β±οΈ 02.11.2023):
-
- ```
- git clone https://github.com/bukosabino/ta
- ```
-- [PyPi](https://pypi.org/project/ta) (π₯ 180K / month Β· π¦ 110 Β· β±οΈ 02.11.2023):
- ```
- pip install ta
- ```
-- [Conda](https://anaconda.org/conda-forge/ta) (π₯ 31K Β· β±οΈ 02.11.2023):
- ```
- conda install -c conda-forge ta
- ```
-bt (π₯30 Β· β 2.3K) - bt - flexible backtesting for Python. MIT
-- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 430 Β· π¦ 1.6K Β· π 340 - 22% open Β· β±οΈ 01.11.2024):
+- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 430 Β· π¦ 1.6K Β· π 340 - 22% open Β· β±οΈ 01.12.2024):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 10K / month Β· π¦ 10 Β· β±οΈ 06.08.2024):
+- [PyPi](https://pypi.org/project/bt) (π¦ 10 Β· β±οΈ 06.08.2024):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 53K Β· β±οΈ 21.09.2024):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 54K Β· β±οΈ 21.09.2024):
```
conda install -c conda-forge bt
```
Qlib (π₯28 Β· β 16K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯29 Β· β 16K Β· π) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.6K Β· π₯ 730 Β· π¦ 21 Β· π 940 - 26% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.6K Β· π₯ 730 Β· π¦ 21 Β· π 940 - 26% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/microsoft/qlib
@@ -3553,46 +3464,46 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
pip install pyqlib
```
Alpha Vantage (π₯28 Β· β 4.3K) - A python wrapper for Alpha Vantage API for financial data. MIT
+ffn (π₯29 Β· β 2K Β· π) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 740 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 35 Β· π 300 Β· π¦ 510 Β· π 130 - 17% open Β· β±οΈ 01.12.2024):
```
- git clone https://github.com/RomelTorres/alpha_vantage
+ git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 66K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 19K / month Β· π¦ 18 Β· β±οΈ 02.11.2024):
```
- pip install alpha_vantage
+ pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 7.8K Β· β±οΈ 09.08.2024):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 14K Β· β±οΈ 03.11.2024):
```
- conda install -c conda-forge alpha_vantage
+ conda install -c conda-forge ffn
```
ffn (π₯28 Β· β 2K) - ffn - a financial function library for Python. MIT
+Alpha Vantage (π₯27 Β· β 4.3K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 35 Β· π 300 Β· π¦ 510 Β· π 130 - 17% open Β· β±οΈ 02.11.2024):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 740 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
```
- git clone https://github.com/pmorissette/ffn
+ git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 19K / month Β· π¦ 18 Β· β±οΈ 02.11.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 59K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
- pip install ffn
+ pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 13K Β· β±οΈ 03.11.2024):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 7.9K Β· β±οΈ 09.08.2024):
```
- conda install -c conda-forge ffn
+ conda install -c conda-forge alpha_vantage
```
IB-insync (π₯27 Β· β 2.9K Β· π€) - Python sync/async framework for Interactive Brokers API. BSD-2
+IB-insync (π₯27 Β· β 2.9K Β· π€) - Python sync/async framework for Interactive Brokers API. BSD-2
- [GitHub](https://github.com/erdewit/ib_insync) (π¨βπ» 36 Β· π 770 Β· π 590 - 3% open Β· β±οΈ 14.03.2024):
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 45K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 38K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
@@ -3603,12 +3514,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
TensorTrade (π₯26 Β· β 4.6K) - An open source reinforcement learning framework for training,.. Apache-2
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1K Β· π¦ 66 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1K Β· π¦ 67 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
pip install tensortrade
```
@@ -3624,51 +3535,52 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.8K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 9.9K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
finmarketpy (π₯23 Β· β 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2
+finmarketpy (π₯20 Β· β 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2
- [GitHub](https://github.com/cuemacro/finmarketpy) (π¨βπ» 18 Β· π 490 Β· π₯ 57 Β· π¦ 16 Β· π 29 - 86% open Β· β±οΈ 09.11.2024):
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 760 / month Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/finmarketpy) (β±οΈ 19.05.2024):
```
pip install finmarketpy
```
tf-quant-finance (π₯22 Β· β 4.6K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯19 Β· β 4.6K) - High-performance TensorFlow library for quantitative.. Apache-2
- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 47 Β· π 580 Β· π 63 - 55% open Β· β±οΈ 06.11.2024):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 1.1K / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π¦ 3 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
Show 14 hidden projects...
+Show 15 hidden projects...
-- zipline (π₯32 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- arch (π₯32 Β· β 1.3K) - ARCH models in Python. βUnlicensed
-- pyfolio (π₯31 Β· β 5.7K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- zipline (π₯31 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
+- pyfolio (π₯31 Β· β 5.7K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- ta (π₯30 Β· β 4.4K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
- backtrader (π₯28 Β· β 15K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- Alphalens (π₯27 Β· β 3.4K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- empyrical (π₯27 Β· β 1.3K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
+- Alphalens (π₯27 Β· β 3.4K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
+- empyrical (π₯27 Β· β 1.3K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
- Enigma Catalyst (π₯26 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
- FinTA (π₯25 Β· β 2.1K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
-- PyAlgoTrade (π₯24 Β· β 4.4K Β· π) - Python Algorithmic Trading Library. Apache-2
- Backtesting.py (π₯22 Β· β 5.6K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
- Crypto Signals (π₯22 Β· β 5K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
+- PyAlgoTrade (π₯22 Β· β 4.4K Β· π) - Python Algorithmic Trading Library. Apache-2
- FinQuant (π₯22 Β· β 1.4K Β· π) - A program for financial portfolio management, analysis and.. MIT
- surpriver (π₯12 Β· β 1.8K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
-- pyrtfolio (π₯9 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
+- pyrtfolio (π₯10 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
@@ -3678,14 +3590,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
_Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
-sktime (π₯38 Β· β 8K Β· π) - A unified framework for machine learning with time series. BSD-3
+sktime (π₯37 Β· β 8K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 420 Β· π 1.4K Β· π₯ 100 Β· π¦ 3.6K Β· π 2.6K - 38% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 420 Β· π 1.4K Β· π₯ 100 Β· π¦ 3.6K Β· π 2.6K - 37% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 900K / month Β· π¦ 130 Β· β±οΈ 19.10.2024):
+- [PyPi](https://pypi.org/project/sktime) (π¦ 130 Β· β±οΈ 03.12.2024):
```
pip install sktime
```
@@ -3694,14 +3606,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge sktime-all-extras
```
Prophet (π₯35 Β· β 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
+Prophet (π₯34 Β· β 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 180 Β· π 4.5K Β· π₯ 2.9K Β· π¦ 21 Β· π 2.2K - 19% open Β· β±οΈ 20.10.2024):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 210K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π¦ 91 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
@@ -3710,30 +3622,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge prophet
```
StatsForecast (π₯34 Β· β 4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 48 Β· π 290 Β· π¦ 1.3K Β· π 350 - 29% open Β· β±οΈ 26.11.2024):
-
- ```
- git clone https://github.com/Nixtla/statsforecast
- ```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 1.2M / month Β· π¦ 59 Β· β±οΈ 26.11.2024):
- ```
- pip install statsforecast
- ```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 110K Β· β±οΈ 27.11.2024):
- ```
- conda install -c conda-forge statsforecast
- ```
-tsfresh (π₯32 Β· β 8.5K) - Automatic extraction of relevant features from time series:. MIT
+tsfresh (π₯32 Β· β 8.5K) - Automatic extraction of relevant features from time series:. MIT
- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 98 Β· π 1.2K Β· π¦ 21 Β· π 540 - 12% open Β· β±οΈ 19.11.2024):
```
git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 230K / month Β· π¦ 93 Β· β±οΈ 03.08.2024):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 93 Β· β±οΈ 03.08.2024):
```
pip install tsfresh
```
@@ -3742,72 +3638,68 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tsfresh
```
Darts (π₯32 Β· β 8.1K Β· π) - A python library for user-friendly forecasting and anomaly.. Apache-2
+pytorch-forecasting (π₯32 Β· β 4K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 880 Β· π 1.6K - 15% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 56 Β· π 630 Β· π¦ 450 Β· π 790 - 60% open Β· β±οΈ 19.11.2024):
```
- git clone https://github.com/unit8co/darts
- ```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 62K / month Β· π¦ 10 Β· β±οΈ 13.10.2024):
- ```
- pip install u8darts
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 63K Β· β±οΈ 13.10.2024):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 61K / month Β· π¦ 22 Β· β±οΈ 19.11.2024):
```
- conda install -c conda-forge u8darts-all
+ pip install pytorch-forecasting
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 870 Β· β±οΈ 17.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 68K Β· β±οΈ 16.06.2023):
```
- docker pull unit8/darts
+ conda install -c conda-forge pytorch-forecasting
```
pytorch-forecasting (π₯32 Β· β 4K) - Time series forecasting with PyTorch. MIT
+pmdarima (π₯32 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 56 Β· π 630 Β· π¦ 450 Β· π 790 - 60% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 10K Β· π 340 - 19% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 59K / month Β· π¦ 22 Β· β±οΈ 19.11.2024):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.6M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
```
- pip install pytorch-forecasting
+ pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 68K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.2M Β· β±οΈ 14.07.2024):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c conda-forge pmdarima
```
STUMPY (π₯32 Β· β 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+StatsForecast (π₯31 Β· β 4K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 940 Β· π 520 - 13% open Β· β±οΈ 17.11.2024):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 48 Β· π 290 Β· π¦ 1.3K Β· π 350 - 29% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/TDAmeritrade/stumpy
+ git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 260K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
+- [PyPi](https://pypi.org/project/statsforecast) (π¦ 59 Β· β±οΈ 26.11.2024):
```
- pip install stumpy
+ pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 1M Β· β±οΈ 09.07.2024):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 110K Β· β±οΈ 05.12.2024):
```
- conda install -c conda-forge stumpy
+ conda install -c conda-forge statsforecast
```
pmdarima (π₯32 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
+STUMPY (π₯31 Β· β 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 9.9K Β· π 340 - 19% open Β· β±οΈ 07.11.2024):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 320 Β· π¦ 960 Β· π 520 - 13% open Β· β±οΈ 17.11.2024):
```
- git clone https://github.com/alkaline-ml/pmdarima
+ git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.6M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/stumpy) (π¦ 30 Β· β±οΈ 09.07.2024):
```
- pip install pmdarima
+ pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.2M Β· β±οΈ 14.07.2024):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 1M Β· β±οΈ 09.07.2024):
```
- conda install -c conda-forge pmdarima
+ conda install -c conda-forge stumpy
```
NeuralForecast (π₯31 Β· β 3.1K) - Scalable and user friendly neural forecasting algorithms. Apache-2
@@ -3817,7 +3709,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 54K / month Β· π¦ 21 Β· β±οΈ 22.11.2024):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 56K / month Β· π¦ 21 Β· β±οΈ 22.11.2024):
```
pip install neuralforecast
```
@@ -3833,25 +3725,29 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 85K / month Β· π¦ 15 Β· β±οΈ 11.11.2024):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 90K / month Β· π¦ 15 Β· β±οΈ 11.11.2024):
```
pip install skforecast
```
GluonTS (π₯30 Β· β 4.6K) - Probabilistic time series modeling in Python. Apache-2
+Darts (π₯30 Β· β 8.1K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 760 Β· π 960 - 33% open Β· β±οΈ 05.11.2024):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 880 Β· π 1.6K - 15% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/awslabs/gluon-ts
+ git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 890K / month Β· π¦ 33 Β· β±οΈ 11.11.2024):
+- [PyPi](https://pypi.org/project/u8darts) (π¦ 10 Β· β±οΈ 13.10.2024):
```
- pip install gluonts
+ pip install u8darts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1.1K Β· β±οΈ 22.12.2023):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 63K Β· β±οΈ 13.10.2024):
```
- conda install -c anaconda gluonts
+ conda install -c conda-forge u8darts-all
+ ```
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 920 Β· β±οΈ 17.04.2024):
+ ```
+ docker pull unit8/darts
```
tslearn (π₯30 Β· β 2.9K) - The machine learning toolkit for time series analysis in Python. BSD-2
@@ -3870,14 +3766,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tslearn
```
NeuralProphet (π₯28 Β· β 3.9K) - NeuralProphet: A simple forecasting package. MIT
+NeuralProphet (π₯27 Β· β 3.9K) - NeuralProphet: A simple forecasting package. MIT
- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 480 Β· π 560 - 10% open Β· β±οΈ 13.09.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 94K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 88K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
pip install neuralprophet
```
@@ -3889,7 +3785,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 24K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
+- [PyPi](https://pypi.org/project/streamz) (π¦ 57 Β· β±οΈ 27.07.2022):
```
pip install streamz
```
@@ -3898,81 +3794,97 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge streamz
```
TSFEL (π₯24 Β· β 940) - An intuitive library to extract features from time series. BSD-3
+GluonTS (π₯25 Β· β 4.7K) - Probabilistic time series modeling in Python. Apache-2
+
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 120 Β· π 760 Β· π 960 - 33% open Β· β±οΈ 05.11.2024):
+
+ ```
+ git clone https://github.com/awslabs/gluon-ts
+ ```
+- [PyPi](https://pypi.org/project/gluonts) (π¦ 33 Β· β±οΈ 11.11.2024):
+ ```
+ pip install gluonts
+ ```
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1.1K Β· β±οΈ 22.12.2023):
+ ```
+ conda install -c anaconda gluonts
+ ```
+TSFEL (π₯20 Β· β 950) - An intuitive library to extract features from time series. BSD-3
- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 160 Β· π 79 - 10% open Β· β±οΈ 17.10.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 17K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π¦ 7 Β· β±οΈ 12.09.2024):
```
pip install tsfel
```
greykite (π₯20 Β· β 1.8K Β· π€) - A flexible, intuitive and fast forecasting library. BSD-2
+tsflex (π₯20 Β· β 400) - Flexible time series feature extraction & processing. MIT
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 110 Β· π₯ 36 Β· π¦ 34 Β· π 110 - 27% open Β· β±οΈ 16.01.2024):
+- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 26 Β· π¦ 17 Β· π 56 - 58% open Β· β±οΈ 06.09.2024):
```
- git clone https://github.com/linkedin/greykite
+ git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 7.5K / month Β· β±οΈ 12.01.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
- pip install greykite
+ pip install tsflex
+ ```
+- [Conda](https://anaconda.org/conda-forge/tsflex) (π₯ 28K Β· β±οΈ 08.04.2024):
+ ```
+ conda install -c conda-forge tsflex
```
pydlm (π₯20 Β· β 480) - A python library for Bayesian time series modeling. BSD-3
+pydlm (π₯19 Β· β 480) - A python library for Bayesian time series modeling. BSD-3
- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 37 Β· π 56 - 73% open Β· β±οΈ 07.09.2024):
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 38K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 41K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
```
pip install pydlm
```
tsflex (π₯20 Β· β 400) - Flexible time series feature extraction & processing. MIT
+Auto TS (π₯18 Β· β 740 Β· π€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
-- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 26 Β· π¦ 17 Β· π 56 - 58% open Β· β±οΈ 06.09.2024):
+- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 120 Β· π 89 - 2% open Β· β±οΈ 05.05.2024):
```
- git clone https://github.com/predict-idlab/tsflex
- ```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 1.7K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
- ```
- pip install tsflex
+ git clone https://github.com/AutoViML/Auto_TS
```
-- [Conda](https://anaconda.org/conda-forge/tsflex) (π₯ 28K Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 12K / month Β· β±οΈ 05.05.2024):
```
- conda install -c conda-forge tsflex
+ pip install auto-ts
```
Auto TS (π₯18 Β· β 740) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+greykite (π₯16 Β· β 1.8K Β· π€) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 120 Β· π 89 - 2% open Β· β±οΈ 05.05.2024):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 110 Β· π₯ 36 Β· π¦ 34 Β· π 110 - 27% open Β· β±οΈ 16.01.2024):
```
- git clone https://github.com/AutoViML/Auto_TS
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 14K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/greykite) (β±οΈ 12.01.2024):
```
- pip install auto-ts
+ pip install greykite
```
Show 10 hidden projects...
-- pyts (π₯26 Β· β 1.8K Β· π) - A Python package for time series classification. BSD-3
- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
-- luminol (π₯22 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
-- tick (π₯22 Β· β 490 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- ADTK (π₯21 Β· β 1.1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
-- seglearn (π₯21 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
-- matrixprofile-ts (π₯19 Β· β 730 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
-- atspy (π₯16 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
-- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
+- pyts (π₯23 Β· β 1.8K Β· π) - A Python package for time series classification. BSD-3
+- tick (π₯19 Β· β 490 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+- luminol (π₯18 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
+- ADTK (π₯18 Β· β 1.1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
+- seglearn (π₯18 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
+- matrixprofile-ts (π₯17 Β· β 730 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
+- atspy (π₯15 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
+- tsaug (π₯11 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
- tslumen (π₯8 Β· β 68 Β· π) - A library for Time Series EDA (exploratory data analysis). Apache-2
@@ -3983,14 +3895,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
_Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
-MNE (π₯39 Β· β 2.7K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
+MNE (π₯39 Β· β 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.7K Β· π 4.9K - 10% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 380 Β· π 1.3K Β· π¦ 4.7K Β· π 4.9K - 10% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 190K / month Β· π¦ 390 Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/mne) (π₯ 170K / month Β· π¦ 390 Β· β±οΈ 19.08.2024):
```
pip install mne
```
@@ -3999,41 +3911,25 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge mne
```
Nilearn (π₯38 Β· β 1.2K) - Machine learning for NeuroImaging in Python. BSD-3
+Nilearn (π₯39 Β· β 1.2K Β· π) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 250 Β· π¦ 3.6K Β· π 2.2K - 13% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 260 Β· π¦ 3.6K Β· π 2.2K - 13% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 71K / month Β· π¦ 300 Β· β±οΈ 09.04.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 68K / month Β· π¦ 310 Β· β±οΈ 02.12.2024):
```
pip install nilearn
```
-- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 300K Β· β±οΈ 09.04.2024):
+- [Conda](https://anaconda.org/conda-forge/nilearn) (π₯ 300K Β· β±οΈ 02.12.2024):
```
conda install -c conda-forge nilearn
```
MONAI (π₯36 Β· β 5.9K) - AI Toolkit for Healthcare Imaging. Apache-2
-
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 210 Β· π 1.1K Β· π¦ 3.2K Β· π 3.2K - 12% open Β· β±οΈ 28.11.2024):
-
- ```
- git clone https://github.com/Project-MONAI/MONAI
- ```
-- [PyPi](https://pypi.org/project/monai) (π₯ 200K / month Β· π¦ 120 Β· β±οΈ 16.10.2024):
- ```
- pip install monai
- ```
-- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 34K Β· β±οΈ 17.10.2024):
- ```
- conda install -c conda-forge monai
- ```
-NIPYPE (π₯36 Β· β 750) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 5.3K Β· π 1.4K - 30% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 5.4K Β· π 1.4K - 30% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/nipy/nipype
@@ -4054,7 +3950,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 2.6M / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 2.4M / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
```
pip install nibabel
```
@@ -4063,7 +3959,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nibabel
```
Lifelines (π₯34 Β· β 2.4K) - Survival analysis in Python. MIT
+MONAI (π₯33 Β· β 5.9K) - AI Toolkit for Healthcare Imaging. Apache-2
+
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 210 Β· π 1.1K Β· π¦ 3.2K Β· π 3.2K - 12% open Β· β±οΈ 04.12.2024):
+
+ ```
+ git clone https://github.com/Project-MONAI/MONAI
+ ```
+- [PyPi](https://pypi.org/project/monai) (π¦ 120 Β· β±οΈ 16.10.2024):
+ ```
+ pip install monai
+ ```
+- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 35K Β· β±οΈ 17.10.2024):
+ ```
+ conda install -c conda-forge monai
+ ```
+Lifelines (π₯33 Β· β 2.4K) - Survival analysis in Python. MIT
- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 560 Β· π¦ 3.1K Β· π 980 - 27% open Β· β±οΈ 29.10.2024):
@@ -4079,21 +3991,21 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
Hail (π₯33 Β· β 980) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯28 Β· β 980) - Cloud-native genomic dataframes and batch computing. MIT
- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 250 Β· π¦ 150 Β· π 2.5K - 10% open Β· β±οΈ 09.11.2024):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 140K / month Β· π¦ 34 Β· β±οΈ 04.10.2024):
+- [PyPi](https://pypi.org/project/hail) (π¦ 34 Β· β±οΈ 04.10.2024):
```
pip install hail
```
DeepVariant (π₯24 Β· β 3.2K Β· π€) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
+DeepVariant (π₯27 Β· β 3.2K Β· π) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 30 Β· π 720 Β· π₯ 4.8K Β· π 840 - 0% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 36 Β· π 720 Β· π₯ 4.8K Β· π 840 - 0% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/google/deepvariant
@@ -4103,14 +4015,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c bioconda deepvariant
```
Brainiak (π₯20 Β· β 340 Β· π) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯20 Β· β 340) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 140 Β· π 230 - 39% open Β· β±οΈ 26.11.2024):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 2K / month Β· β±οΈ 27.11.2024):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 2.3K / month Β· β±οΈ 27.11.2024):
```
pip install brainiak
```
@@ -4124,7 +4036,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
- DIPY (π₯32 Β· β 720) - DIPY is the paragon 3D/4D+ medical imaging library in Python... βUnlicensed
- NIPY (π₯27 Β· β 380) - Neuroimaging in Python FMRI analysis package. βUnlicensed
- NiftyNet (π₯25 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βοΈGPL-3.0
+- MedPy (π₯24 Β· β 580) - Medical image processing in Python. βοΈGPL-3.0
- Glow (π₯22 Β· β 270) - An open-source toolkit for large-scale genomic analysis. Apache-2
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2 pytorch_tabular (π₯24 Β· β 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
-
-- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 24 Β· π 140 Β· π₯ 50 Β· π 160 - 6% open Β· β±οΈ 28.11.2024):
-
- ```
- git clone https://github.com/manujosephv/pytorch_tabular
- ```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 5.5K / month Β· π¦ 9 Β· β±οΈ 28.11.2024):
- ```
- pip install pytorch_tabular
- ```
-miceforest (π₯22 Β· β 350) - Multiple Imputation with LightGBM in Python. MIT
+miceforest (π₯22 Β· β 350) - Multiple Imputation with LightGBM in Python. MIT
- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 30 Β· π¦ 170 Β· π 85 - 8% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 52K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 57K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
pip install miceforest
```
@@ -4168,18 +4068,30 @@ _Libraries for processing tabular and structured data._
conda install -c conda-forge miceforest
```
upgini (π₯21 Β· β 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+upgini (π₯21 Β· β 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
-- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 29.11.2024):
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (π₯ 22K / month Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 20K / month Β· β±οΈ 29.11.2024):
```
pip install upgini
```
pytorch_tabular (π₯20 Β· β 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
+
+- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 24 Β· π 140 Β· π₯ 50 Β· π 160 - 6% open Β· β±οΈ 28.11.2024):
+
+ ```
+ git clone https://github.com/manujosephv/pytorch_tabular
+ ```
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π¦ 9 Β· β±οΈ 28.11.2024):
+ ```
+ pip install pytorch_tabular
+ ```
+carefree-learn (π₯18 Β· β 410 Β· π€) - Deep Learning PyTorch. MIT
- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 8 Β· π 82 - 2% open Β· β±οΈ 18.03.2024):
@@ -4187,7 +4099,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 3.2K / month Β· β±οΈ 09.01.2024):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 1.8K / month Β· β±οΈ 09.01.2024):
```
pip install carefree-learn
```
@@ -4206,52 +4118,52 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (π₯41 Β· β 45K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 270 Β· π 7.8K Β· π₯ 750K Β· π¦ 3.7K Β· π 9.4K - 1% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 270 Β· π 7.8K Β· π₯ 800K Β· π¦ 3.8K Β· π 9.4K - 1% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 340K / month Β· π¦ 110 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 370K / month Β· π¦ 110 Β· β±οΈ 22.10.2024):
```
pip install paddleocr
```
EasyOCR (π₯35 Β· β 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
+EasyOCR (π₯33 Β· β 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.2K Β· π₯ 16M Β· π¦ 9.6K Β· π 1K - 42% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.2K Β· π₯ 16M Β· π¦ 9.8K Β· π 1K - 42% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 670K / month Β· π¦ 210 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (π¦ 210 Β· β±οΈ 24.09.2024):
```
pip install easyocr
```
OCRmyPDF (π₯35 Β· β 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (π₯33 Β· β 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 1K Β· π₯ 5.8K Β· π¦ 1.1K Β· π 1.2K - 9% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 1K Β· π₯ 5.8K Β· π¦ 1.1K Β· π 1.2K - 9% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 170K / month Β· π¦ 36 Β· β±οΈ 17.11.2024):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π¦ 36 Β· β±οΈ 17.11.2024):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 83K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 84K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
Tesseract (π₯33 Β· β 5.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
+Tesseract (π₯31 Β· β 5.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 49 Β· π 720 Β· π 360 - 2% open Β· β±οΈ 22.11.2024):
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 2.6M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
+- [PyPi](https://pypi.org/project/pytesseract) (π¦ 970 Β· β±οΈ 16.08.2024):
```
pip install pytesseract
```
@@ -4262,12 +4174,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (π₯30 Β· β 2K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 650 Β· π¦ 1.1K Β· π 280 - 18% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 30 Β· π 250 Β· π₯ 670 Β· π¦ 1.1K Β· π 280 - 18% open Β· β±οΈ 25.11.2024):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 88K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 85K / month Β· π¦ 36 Β· β±οΈ 26.08.2024):
```
pip install tesserocr
```
@@ -4276,40 +4188,25 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge tesserocr
```
MMOCR (π₯26 Β· β 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
+MMOCR (π₯23 Β· β 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
- [GitHub](https://github.com/open-mmlab/mmocr) (π¨βπ» 90 Β· π 750 Β· π¦ 180 Β· π 930 - 20% open Β· β±οΈ 27.11.2024):
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.7K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
keras-ocr (π₯25 Β· β 1.4K Β· π€) - A packaged and flexible version of the CRAFT text detector.. MIT
-
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.8M Β· π¦ 590 Β· π 220 - 46% open Β· β±οΈ 06.11.2023):
-
- ```
- git clone https://github.com/faustomorales/keras-ocr
- ```
-- [PyPi](https://pypi.org/project/keras-ocr) (π₯ 22K / month Β· π¦ 8 Β· β±οΈ 06.11.2023):
- ```
- pip install keras-ocr
- ```
-- [Conda](https://anaconda.org/anaconda/keras-ocr) (π₯ 340 Β· β±οΈ 16.06.2023):
- ```
- conda install -c anaconda keras-ocr
- ```
-Show 5 hidden projects...
+Show 6 hidden projects...
-- calamari (π₯24 Β· β 1.1K) - Line based ATR Engine based on OCRopy. βοΈGPL-3.0
-- attention-ocr (π₯22 Β· β 1.1K Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT MIT Apache-2
-- doc2text (π₯20 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
+- attention-ocr (π₯21 Β· β 1.1K Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT βοΈGPL-3.0
+- doc2text (π₯17 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
- Mozart (π₯10 Β· β 620 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2
@@ -4340,7 +4237,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
_Libraries for web scraping, crawling, downloading, and mining as well as libraries._
-π best-of-web-python - Web Scraping ( β 2.3K) - Collection of web-scraping and crawling libraries.
+π best-of-web-python - Web Scraping ( β 2.4K) - Collection of web-scraping and crawling libraries.
@@ -4362,76 +4259,76 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯46 Β· β 34K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.8K Β· π₯ 240 Β· π¦ 19K Β· π 20K - 21% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.1K Β· π 5.8K Β· π₯ 250 Β· π¦ 19K Β· π 20K - 21% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 6.5M / month Β· π¦ 810 Β· β±οΈ 12.11.2024):
+- [PyPi](https://pypi.org/project/ray) (π₯ 6.5M / month Β· π¦ 820 Β· β±οΈ 03.12.2024):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 470K Β· β±οΈ 24.11.2024):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 480K Β· β±οΈ 24.11.2024):
```
conda install -c conda-forge ray-tune
```
dask (π₯44 Β· β 13K) - Parallel computing with task scheduling. BSD-3
+dask (π₯42 Β· β 13K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 67K Β· π 5.4K - 20% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 610 Β· π 1.7K Β· π¦ 67K Β· π 5.4K - 20% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 17M / month Β· π¦ 2.5K Β· β±οΈ 13.11.2024):
+- [PyPi](https://pypi.org/project/dask) (π¦ 2.5K Β· β±οΈ 03.12.2024):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 12M Β· β±οΈ 18.11.2024):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 12M Β· β±οΈ 04.12.2024):
```
conda install -c conda-forge dask
```
DeepSpeed (π₯41 Β· β 36K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 360 Β· π 4.1K Β· π¦ 9.8K Β· π 3K - 36% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 360 Β· π 4.1K Β· π¦ 9.9K Β· π 3K - 36% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 590K / month Β· π¦ 230 Β· β±οΈ 25.11.2024):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 580K / month Β· π¦ 230 Β· β±οΈ 25.11.2024):
```
pip install deepspeed
```
-- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 20K Β· β 4 Β· β±οΈ 02.09.2022):
+- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (π₯ 21K Β· β 4 Β· β±οΈ 02.09.2022):
```
docker pull deepspeed/deepspeed
```
dask.distributed (π₯40 Β· β 1.6K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 37K Β· π 4K - 39% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 38K Β· π 4K - 39% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 6.2M / month Β· π¦ 870 Β· β±οΈ 13.11.2024):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 6.2M / month Β· π¦ 880 Β· β±οΈ 03.12.2024):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 16M Β· β±οΈ 18.11.2024):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 16M Β· β±οΈ 04.12.2024):
```
conda install -c conda-forge distributed
```
metrics (π₯36 Β· β 2.1K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 260 Β· π 400 Β· π₯ 5.8K Β· π¦ 33K Β· π 890 - 7% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 260 Β· π 400 Β· π₯ 5.8K Β· π¦ 33K Β· π 890 - 8% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 4.6K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 4.7K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
```
pip install metrics
```
@@ -4440,66 +4337,46 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge torchmetrics
```
H2O-3 (π₯35 Β· β 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.5K - 29% open Β· β±οΈ 13.11.2024):
-
- ```
- git clone https://github.com/h2oai/h2o-3
- ```
-- [PyPi](https://pypi.org/project/h2o) (π₯ 240K / month Β· π¦ 49 Β· β±οΈ 02.11.2024):
- ```
- pip install h2o
- ```
-horovod (π₯34 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
+horovod (π₯35 Β· β 14K Β· π) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2
- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.3K Β· π 2.3K - 17% open Β· β±οΈ 31.08.2024):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 100K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 110K / month Β· π¦ 33 Β· β±οΈ 12.06.2023):
```
pip install horovod
```
BigDL (π₯34 Β· β 6.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
+ColossalAI (π₯33 Β· β 39K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 110 Β· π 1.3K Β· π₯ 640 Β· π 2.6K - 38% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.3K Β· π¦ 440 Β· π 1.7K - 26% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/intel-analytics/BigDL
- ```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 63K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
- ```
- pip install bigdl
- ```
-- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (π¦ 5 Β· β±οΈ 20.04.2021):
- ```
-
- com.intel.analytics.bigdl
- bigdl-SPARK_2.4
- [VERSION]
-
+ git clone https://github.com/hpcaitech/colossalai
```
ColossalAI (π₯33 Β· β 39K) - Making large AI models cheaper, faster and more accessible. Apache-2
+H2O-3 (π₯30 Β· β 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.3K Β· π¦ 440 Β· π 1.7K - 26% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.5K - 29% open Β· β±οΈ 13.11.2024):
```
- git clone https://github.com/hpcaitech/colossalai
+ git clone https://github.com/h2oai/h2o-3
+ ```
+- [PyPi](https://pypi.org/project/h2o) (π¦ 49 Β· β±οΈ 02.11.2024):
+ ```
+ pip install h2o
```
FairScale (π₯31 Β· β 3.2K) - PyTorch extensions for high performance and large scale training. BSD-3
+FairScale (π₯30 Β· β 3.2K Β· π€) - PyTorch extensions for high performance and large scale.. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 280 Β· π¦ 6.8K Β· π 390 - 26% open Β· β±οΈ 03.05.2024):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 280 Β· π¦ 6.9K Β· π 390 - 26% open Β· β±οΈ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 420K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π¦ 150 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
@@ -4508,53 +4385,57 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge fairscale
```
mpi4py (π₯30 Β· β 820) - Python bindings for MPI. BSD-3
+BigDL (π₯29 Β· β 6.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 28K Β· π 190 - 4% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 110 Β· π 1.3K Β· π₯ 640 Β· π 2.6K - 38% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/mpi4py/mpi4py
+ git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 480K / month Β· π¦ 750 Β· β±οΈ 11.10.2024):
+- [PyPi](https://pypi.org/project/bigdl) (π¦ 2 Β· β±οΈ 24.03.2024):
```
- pip install mpi4py
+ pip install bigdl
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.1M Β· β±οΈ 12.10.2024):
+- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (π¦ 5 Β· β±οΈ 20.04.2021):
```
- conda install -c conda-forge mpi4py
+
+ com.intel.analytics.bigdl
+ bigdl-SPARK_2.4
+ [VERSION]
+
```
SynapseML (π₯29 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 780 - 48% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 780 - 48% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 280K / month Β· π¦ 5 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 270K / month Β· π¦ 5 Β· β±οΈ 16.10.2024):
```
pip install synapseml
```
Submit it (π₯29 Β· β 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
+mpi4py (π₯29 Β· β 820) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 25 Β· π 120 Β· π¦ 3.6K Β· π 130 - 39% open Β· β±οΈ 18.09.2024):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 28K Β· π 190 - 4% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/facebookincubator/submitit
+ git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 490K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/mpi4py) (π¦ 750 Β· β±οΈ 11.10.2024):
```
- pip install submitit
+ pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 43K Β· β±οΈ 19.11.2024):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.2M Β· β±οΈ 12.10.2024):
```
- conda install -c conda-forge submitit
+ conda install -c conda-forge mpi4py
```
petastorm (π₯28 Β· β 1.8K Β· π€) - Petastorm library enables single machine or distributed.. Apache-2
+petastorm (π₯28 Β· β 1.8K Β· π€) - Petastorm library enables single machine or distributed.. Apache-2
-- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 50 Β· π 280 Β· π₯ 530 Β· π¦ 190 Β· π 320 - 53% open Β· β±οΈ 02.12.2023):
+- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 50 Β· π 280 Β· π₯ 540 Β· π¦ 190 Β· π 320 - 53% open Β· β±οΈ 02.12.2023):
```
git clone https://github.com/uber/petastorm
@@ -4564,14 +4445,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install petastorm
```
dask-ml (π₯28 Β· β 900) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (π₯28 Β· β 910) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 80 Β· π 260 Β· π¦ 1.2K Β· π 540 - 52% open Β· β±οΈ 25.11.2024):
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 110K / month Β· π¦ 93 Β· β±οΈ 02.04.2024):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 120K / month Β· π¦ 93 Β· β±οΈ 02.04.2024):
```
pip install dask-ml
```
@@ -4587,26 +4468,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 1.7K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 1.3K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
MMLSpark (π₯23 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
+Submit it (π₯25 Β· β 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 780 - 48% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 25 Β· π 120 Β· π¦ 3.6K Β· π 130 - 39% open Β· β±οΈ 18.09.2024):
```
- git clone https://github.com/microsoft/SynapseML
+ git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/mmlspark) (π₯ 4 / month Β· β±οΈ 18.03.2020):
+- [PyPi](https://pypi.org/project/submitit) (π¦ 49 Β· β±οΈ 18.09.2024):
```
- pip install mmlspark
+ pip install submitit
+ ```
+- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 44K Β· β±οΈ 19.11.2024):
+ ```
+ conda install -c conda-forge submitit
```
Apache Singa (π₯23 Β· β 3.4K) - a distributed deep learning platform. Apache-2
+Apache Singa (π₯24 Β· β 3.4K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 91 Β· π 1.2K Β· π¦ 5 Β· π 130 - 37% open Β· β±οΈ 17.08.2024):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 94 Β· π 1.2K Β· π¦ 5 Β· π 130 - 37% open Β· β±οΈ 29.11.2024):
```
git clone https://github.com/apache/singa
@@ -4620,45 +4505,46 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
docker pull apache/singa
```
analytics-zoo (π₯22 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
+MMLSpark (π₯23 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π 1.3K - 32% open Β· β±οΈ 20.11.2024):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 780 - 48% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/intel-analytics/analytics-zoo
+ git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 5.6K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
+- [PyPi](https://pypi.org/project/mmlspark) (β±οΈ 18.03.2020):
```
- pip install analytics-zoo
+ pip install mmlspark
```
Mesh (π₯22 Β· β 1.6K Β· π€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
+analytics-zoo (π₯19 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
-- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 260 Β· π 120 - 84% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/intel-analytics/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π 1.3K - 32% open Β· β±οΈ 20.11.2024):
```
- git clone https://github.com/tensorflow/mesh
+ git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/mesh-tensorflow) (π₯ 36K / month Β· π¦ 3 Β· β±οΈ 15.05.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π¦ 1 Β· β±οΈ 22.08.2022):
```
- pip install mesh-tensorflow
+ pip install analytics-zoo
```
Show 16 hidden projects...
+Show 17 hidden projects...
-- DEAP (π₯34 Β· β 5.9K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
+- DEAP (π₯32 Β· β 5.9K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
- ipyparallel (π₯31 Β· β 2.6K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed Apache-2 MIT keras MIT keras Apache-2 Apache-2
+- Mesh (π₯22 Β· β 1.6K Β· π) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 Apache-2 MIT
+- somoclu (π₯20 Β· β 270 Β· π€) - Massively parallel self-organizing maps: accelerate training on.. MIT
- launchpad (π₯19 Β· β 310 Β· π) - Launchpad is a library that simplifies writing.. Apache-2 Apache-2 Apache-2 Apache-2
-- parallelformers (π₯17 Β· β 780 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
- TensorFrames (π₯16 Β· β 720 Β· π) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 Apache-2
- LazyCluster (π₯14 Β· β 49 Β· π) - Distributed machine learning made simple. Apache-2
- autodist (π₯13 Β· β 130 Β· π) - Simple Distributed Deep Learning on TensorFlow. Apache-2 MIT Optuna (π₯43 Β· β 11K) - A hyperparameter optimization framework. MIT
+Optuna (π₯40 Β· β 11K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 280 Β· π 1K Β· π¦ 19K Β· π 1.7K - 3% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 280 Β· π 1K Β· π¦ 20K Β· π 1.7K - 3% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 4.2M / month Β· π¦ 1K Β· β±οΈ 12.11.2024):
+- [PyPi](https://pypi.org/project/optuna) (π¦ 1K Β· β±οΈ 12.11.2024):
```
pip install optuna
```
-- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 1.9M Β· β±οΈ 13.11.2024):
+- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2M Β· β±οΈ 13.11.2024):
```
conda install -c conda-forge optuna
```
AutoGluon (π₯36 Β· β 8.1K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 130 Β· π 930 Β· π¦ 880 Β· π 1.5K - 23% open Β· β±οΈ 26.11.2024):
-
- ```
- git clone https://github.com/autogluon/autogluon
- ```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 300K / month Β· π¦ 27 Β· β±οΈ 28.11.2024):
- ```
- pip install autogluon
- ```
-- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 23K Β· β±οΈ 18.10.2024):
- ```
- conda install -c conda-forge autogluon
- ```
-- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 12K Β· β 17 Β· β±οΈ 07.03.2024):
- ```
- docker pull autogluon/autogluon
- ```
-Ax (π₯36 Β· β 2.4K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 310 Β· π¦ 840 Β· π 800 - 9% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 310 Β· π¦ 850 Β· π 800 - 9% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/facebook/Ax
```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 100K / month Β· π¦ 54 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 110K / month Β· π¦ 54 Β· β±οΈ 23.09.2024):
```
pip install ax-platform
```
@@ -4723,21 +4589,29 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge ax-platform
```
Bayesian Optimization (π₯34 Β· β 8K) - A Python implementation of global optimization with.. MIT
+AutoGluon (π₯34 Β· β 8.1K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 47 Β· π 1.5K Β· π₯ 160 Β· π¦ 3.1K Β· π 370 - 2% open Β· β±οΈ 21.10.2024):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 130 Β· π 930 Β· π¦ 890 Β· π 1.5K - 23% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/fmfn/BayesianOptimization
+ git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 450K / month Β· π¦ 150 Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/autogluon) (π¦ 27 Β· β±οΈ 05.12.2024):
```
- pip install bayesian-optimization
+ pip install autogluon
+ ```
+- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 23K Β· β±οΈ 30.11.2024):
+ ```
+ conda install -c conda-forge autogluon
+ ```
+- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 12K Β· β 17 Β· β±οΈ 07.03.2024):
+ ```
+ docker pull autogluon/autogluon
```
BoTorch (π₯34 Β· β 3.1K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 130 Β· π 400 Β· π¦ 1.2K Β· π 560 - 14% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 130 Β· π 400 Β· π¦ 1.3K Β· π 560 - 14% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/pytorch/botorch
@@ -4751,6 +4625,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge botorch
```
Bayesian Optimization (π₯33 Β· β 8K) - A Python implementation of global optimization with.. MIT
+
+- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 47 Β· π 1.5K Β· π₯ 160 Β· π¦ 3.1K Β· π 370 - 2% open Β· β±οΈ 21.10.2024):
+
+ ```
+ git clone https://github.com/fmfn/BayesianOptimization
+ ```
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 430K / month Β· π¦ 150 Β· β±οΈ 21.10.2024):
+ ```
+ pip install bayesian-optimization
+ ```
+Hyperopt (π₯33 Β· β 7.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 18K Β· π 680 - 20% open Β· β±οΈ 25.09.2024):
@@ -4769,12 +4655,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
nevergrad (π₯32 Β· β 4K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 57 Β· π 350 Β· π¦ 780 Β· π 300 - 39% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 57 Β· π 360 Β· π¦ 790 Β· π 310 - 39% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 170K / month Β· π¦ 58 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 140K / month Β· π¦ 62 Β· β±οΈ 01.12.2024):
```
pip install nevergrad
```
@@ -4790,7 +4676,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 28K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 26K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
```
pip install autokeras
```
@@ -4818,11 +4704,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 460K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 280K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
```
pip install keras-tuner
```
-- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 43K Β· β±οΈ 05.03.2024):
+- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 44K Β· β±οΈ 05.03.2024):
```
conda install -c conda-forge keras-tuner
```
@@ -4834,7 +4720,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 10K / month Β· π¦ 6 Β· β±οΈ 12.11.2024):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 12.11.2024):
```
pip install mljar-supervised
```
@@ -4843,14 +4729,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge mljar-supervised
```
lazypredict (π₯30 Β· β 3K) - Lazy Predict help build a lot of basic models without much code.. MIT
+lazypredict (π₯27 Β· β 3K) - Lazy Predict help build a lot of basic models without much code.. MIT
-- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 18 Β· π 340 Β· π¦ 1.1K Β· π 130 - 70% open Β· β±οΈ 03.11.2024):
+- [GitHub](https://github.com/shankarpandala/lazypredict) (π¨βπ» 18 Β· π 340 Β· π¦ 1.2K Β· π 130 - 70% open Β· β±οΈ 03.11.2024):
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 17K / month Β· π¦ 6 Β· β±οΈ 02.11.2024):
+- [PyPi](https://pypi.org/project/lazypredict) (π¦ 6 Β· β±οΈ 02.11.2024):
```
pip install lazypredict
```
@@ -4866,31 +4752,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/talos) (π₯ 1.8K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
+- [PyPi](https://pypi.org/project/talos) (π₯ 1.9K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
```
pip install talos
```
FEDOT (π₯25 Β· β 650) - Automated modeling and machine learning framework FEDOT. BSD-3
-
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 36 Β· π 88 Β· π¦ 55 Β· π 550 - 10% open Β· β±οΈ 15.11.2024):
-
- ```
- git clone https://github.com/nccr-itmo/FEDOT
- ```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 2K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
- ```
- pip install fedot
- ```
-Hyperactive (π₯24 Β· β 510) - An optimization and data collection toolbox for convenient and fast.. MIT
+Hyperactive (π₯24 Β· β 510) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 9 Β· π 42 Β· π₯ 270 Β· π¦ 36 Β· π 77 - 18% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 9 Β· π 42 Β· π₯ 280 Β· π¦ 36 Β· π 77 - 18% open Β· β±οΈ 13.11.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 3.5K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 3.4K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install hyperactive
```
@@ -4902,31 +4776,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 3.6K / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 2K / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
featurewiz (π₯21 Β· β 590) - Use advanced feature engineering strategies and select best.. Apache-2
+FEDOT (π₯21 Β· β 650) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 89 Β· π¦ 78 Β· π 100 - 7% open Β· β±οΈ 02.05.2024):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 36 Β· π 88 Β· π¦ 55 Β· π 550 - 10% open Β· β±οΈ 15.11.2024):
```
- git clone https://github.com/AutoViML/featurewiz
+ git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 53K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
+- [PyPi](https://pypi.org/project/fedot) (π¦ 5 Β· β±οΈ 28.08.2024):
```
- pip install featurewiz
+ pip install fedot
```
Auto ViML (π₯21 Β· β 530) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+Auto ViML (π₯21 Β· β 530 Β· π€) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2
- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 9 Β· π 100 Β· π¦ 27 Β· π 34 - 2% open Β· β±οΈ 11.05.2024):
```
git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 17K / month Β· π¦ 3 Β· β±οΈ 11.05.2024):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 11.05.2024):
```
pip install autoviml
```
@@ -4938,57 +4812,69 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 1K / month Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 890 / month Β· β±οΈ 18.08.2024):
```
pip install opytimizer
```
shap-hypetune (π₯18 Β· β 570 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
+featurewiz (π₯17 Β· β 590 Β· π€) - Use advanced feature engineering strategies and select best.. Apache-2
+
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 90 Β· π¦ 79 Β· π 100 - 7% open Β· β±οΈ 02.05.2024):
+
+ ```
+ git clone https://github.com/AutoViML/featurewiz
+ ```
+- [PyPi](https://pypi.org/project/featurewiz) (π¦ 2 Β· β±οΈ 10.02.2024):
+ ```
+ pip install featurewiz
+ ```
+shap-hypetune (π₯15 Β· β 570 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 69 Β· π¦ 20 Β· π 36 - 11% open Β· β±οΈ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
-- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 4.1K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/shap-hypetune) (π¦ 2 Β· β±οΈ 21.02.2024):
```
pip install shap-hypetune
```
Show 32 hidden projects...
-- scikit-optimize (π₯33 Β· β 2.7K Β· π) - Sequential model-based optimization with a.. BSD-3
-- NNI (π₯31 Β· β 14K Β· π) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
-- TPOT (π₯31 Β· β 9.7K Β· π€) - A Python Automated Machine Learning tool that optimizes.. βοΈLGPL-3.0 BSD-3 MIT BSD-3
-- SMAC3 (π₯26 Β· β 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. βοΈBSD-1-Clause
-- AdaNet (π₯25 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 MIT
-- lightwood (π₯24 Β· β 450 Β· π) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 BSD-3
+- scikit-optimize (π₯32 Β· β 2.7K Β· π) - Sequential model-based optimization with a.. BSD-3
+- auto-sklearn (π₯31 Β· β 7.7K Β· π) - Automated Machine Learning with scikit-learn. BSD-3 βοΈLGPL-3.0 MIT
+- auto_ml (π₯24 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
+- SMAC3 (π₯24 Β· β 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. βοΈBSD-1-Clause
+- lightwood (π₯24 Β· β 450) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 MIT BSD-3
+- AdaNet (π₯22 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 BSD-3
- HpBandSter (π₯22 Β· β 610 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
-- igel (π₯21 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- MLBox (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
-- Test Tube (π₯21 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
+- sklearn-deap (π₯21 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT Apache-2
- optunity (π₯21 Β· β 420 Β· π) - optimization routines for hyperparameter tuning. BSD-3
-- sklearn-deap (π₯20 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
- Auto Tune Models (π₯19 Β· β 530 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
-- Sherpa (π₯19 Β· β 330 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- Advisor (π₯18 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- Xcessiv (π₯18 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
+- igel (π₯17 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- HyperparameterHunter (π₯17 Β· β 710 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
+- Sherpa (π₯17 Β· β 330 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- automl-gs (π₯16 Β· β 1.9K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
-- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT βοΈGPL-3.0
+- Test Tube (π₯16 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
- ENAS (π₯13 Β· β 2.7K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
+- Auptimizer (π₯13 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
+- Parfit (π₯13 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT BSD-3
- model_search (π₯11 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. MIT
-- Hypertunity (π₯10 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. Apache-2
+- Hypertunity (π₯9 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -4998,26 +4884,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
_Libraries for building and evaluating reinforcement learning & agent-based systems._
-FinRL (π₯31 Β· β 10K) - FinRL: Financial Reinforcement Learning. MIT
+FinRL (π₯30 Β· β 10K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.4K Β· π¦ 53 Β· π 720 - 33% open Β· β±οΈ 24.11.2024):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.4K Β· π¦ 54 Β· π 720 - 33% open Β· β±οΈ 24.11.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 1.7K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 1.6K / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
ViZDoom (π₯30 Β· β 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
+ViZDoom (π₯29 Β· β 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
-- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 380 Β· π₯ 12K Β· π¦ 280 Β· π 460 - 6% open Β· β±οΈ 08.09.2024):
+- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 390 Β· π₯ 12K Β· π¦ 280 Β· π 460 - 6% open Β· β±οΈ 08.09.2024):
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 4.6K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 4.5K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
```
pip install vizdoom
```
@@ -5029,19 +4915,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/google/dopamine
```
-- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 32K / month Β· π¦ 10 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 28K / month Β· π¦ 10 Β· β±οΈ 31.10.2024):
```
pip install dopamine-rl
```
TF-Agents (π₯28 Β· β 2.8K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
-- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 670 - 29% open Β· β±οΈ 09.10.2024):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 670 - 29% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 59K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 49K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
```
pip install tf-agents
```
@@ -5053,7 +4939,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.5K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
pip install dm-acme
```
@@ -5062,62 +4948,62 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
conda install -c conda-forge dm-acme
```
TensorForce (π₯27 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2
+TensorForce (π₯24 Β· β 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2
- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 85 Β· π 530 Β· π¦ 460 Β· π 680 - 6% open Β· β±οΈ 31.07.2024):
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 1.2K / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
PARL (π₯25 Β· β 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2
+PARL (π₯22 Β· β 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 45 Β· π 810 Β· π¦ 130 Β· π 540 - 24% open Β· β±οΈ 09.07.2024):
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
RLax (π₯25 Β· β 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2
+ReAgent (π₯21 Β· β 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 87 Β· π¦ 280 Β· π 26 - 30% open Β· β±οΈ 24.05.2024):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 510 Β· π 160 - 53% open Β· β±οΈ 26.11.2024):
```
- git clone https://github.com/deepmind/rlax
+ git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 23K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/reagent) (β±οΈ 27.05.2020):
```
- pip install rlax
+ pip install reagent
```
ReAgent (π₯22 Β· β 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
+RLax (π₯20 Β· β 1.3K Β· π€) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 510 Β· π 160 - 53% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 87 Β· π¦ 280 Β· π 26 - 30% open Β· β±οΈ 24.05.2024):
```
- git clone https://github.com/facebookresearch/ReAgent
+ git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 50 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/rlax) (π¦ 11 Β· β±οΈ 09.01.2023):
```
- pip install reagent
+ pip install rlax
```
PFRL (π₯22 Β· β 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
+PFRL (π₯20 Β· β 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT
- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 20 Β· π 150 Β· π¦ 120 Β· π 79 - 41% open Β· β±οΈ 04.08.2024):
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 600 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/pfrl) (π¦ 1 Β· β±οΈ 16.07.2023):
```
pip install pfrl
```
@@ -5137,16 +5023,16 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects...
- OpenAI Gym (π₯40 Β· β 35K Β· π) - A toolkit for developing and comparing reinforcement learning.. MIT
-- baselines (π₯29 Β· β 16K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
-- TensorLayer (π₯27 Β· β 7.3K Β· π) - Deep Learning and Reinforcement Learning Library for.. Apache-2 MIT MIT MIT
+- TensorLayer (π₯25 Β· β 7.3K Β· π) - Deep Learning and Reinforcement Learning Library for.. Apache-2 MIT MIT
- ChainerRL (π₯24 Β· β 1.2K Β· π) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
- TRFL (π₯22 Β· β 3.1K Β· π) - TensorFlow Reinforcement Learning. Apache-2 Apache-2
-- SerpentAI (π₯19 Β· β 6.8K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
+- Coach (π₯19 Β· β 2.3K Β· π) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2
- DeepMind Lab (π₯17 Β· β 7.1K Β· π) - A customisable 3D platform for agent-based AI research. βUnlicensed
+- SerpentAI (π₯17 Β· β 6.8K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
- Maze (π₯13 Β· β 260 Β· π) - Maze Applied Reinforcement Learning Framework. βοΈCustom
@@ -5157,54 +5043,54 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
_Libraries for building and evaluating recommendation systems._
-Recommenders (π₯33 Β· β 19K) - Best Practices on Recommendation Systems. MIT
+torchrec (π₯31 Β· β 2K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.1K Β· π₯ 620 Β· π¦ 130 Β· π 870 - 18% open Β· β±οΈ 15.11.2024):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 300 Β· π 440 Β· π¦ 160 Β· π 440 - 72% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/microsoft/recommenders
+ git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 24K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 37K / month Β· β±οΈ 12.05.2022):
```
- pip install recommenders
+ pip install torchrec-nightly-cpu
```
torchrec (π₯31 Β· β 2K) - Pytorch domain library for recommendation systems. BSD-3
+Recommenders (π₯29 Β· β 19K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 300 Β· π 440 Β· π¦ 160 Β· π 440 - 72% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.1K Β· π₯ 620 Β· π¦ 140 Β· π 870 - 18% open Β· β±οΈ 15.11.2024):
```
- git clone https://github.com/pytorch/torchrec
+ git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 30K / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/recommenders) (π¦ 4 Β· β±οΈ 01.05.2024):
```
- pip install torchrec-nightly-cpu
+ pip install recommenders
```
implicit (π₯29 Β· β 3.6K Β· π€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
+scikit-surprise (π₯26 Β· β 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3
-- [GitHub](https://github.com/benfred/implicit) (π¨βπ» 35 Β· π 610 Β· π₯ 1.5K Β· π¦ 1.6K Β· π 500 - 18% open Β· β±οΈ 21.11.2023):
+- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 46 Β· π 1K Β· π¦ 21 Β· π 400 - 21% open Β· β±οΈ 14.06.2024):
```
- git clone https://github.com/benfred/implicit
+ git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 200K / month Β· π¦ 29 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π¦ 37 Β· β±οΈ 19.05.2024):
```
- pip install implicit
+ pip install scikit-surprise
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 950K Β· β±οΈ 23.08.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 430K Β· β±οΈ 20.05.2024):
```
- conda install -c conda-forge implicit
+ conda install -c conda-forge scikit-surprise
```
Cornac (π₯28 Β· β 890) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯25 Β· β 890) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 22 Β· π 140 Β· π¦ 250 Β· π 160 - 14% open Β· β±οΈ 14.09.2024):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 50K / month Β· π¦ 18 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 48K / month Β· π¦ 18 Β· β±οΈ 15.08.2024):
```
pip install cornac
```
@@ -5213,73 +5099,58 @@ _Libraries for building and evaluating recommendation systems._
conda install -c conda-forge cornac
```
scikit-surprise (π₯27 Β· β 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3
+RecBole (π₯21 Β· β 3.5K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 46 Β· π 1K Β· π¦ 21 Β· π 400 - 21% open Β· β±οΈ 14.06.2024):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 74 Β· π 610 Β· π 1K - 28% open Β· β±οΈ 05.09.2024):
```
- git clone https://github.com/NicolasHug/Surprise
+ git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 120K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/recbole) (π¦ 2 Β· β±οΈ 31.10.2023):
```
- pip install scikit-surprise
+ pip install recbole
```
-- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (π₯ 430K Β· β±οΈ 20.05.2024):
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 6.8K Β· β±οΈ 01.11.2023):
```
- conda install -c conda-forge scikit-surprise
+ conda install -c aibox recbole
```
TF Ranking (π₯26 Β· β 2.7K Β· π€) - Learning to Rank in TensorFlow. Apache-2
+TF Ranking (π₯21 Β· β 2.7K Β· π€) - Learning to Rank in TensorFlow. Apache-2
- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 36 Β· π 480 Β· π 330 - 27% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/tensorflow/ranking
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 100K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π¦ 15 Β· β±οΈ 18.03.2024):
```
pip install tensorflow_ranking
```
TF Recommenders (π₯25 Β· β 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 43 Β· π 280 Β· π 450 - 59% open Β· β±οΈ 09.11.2024):
-
- ```
- git clone https://github.com/tensorflow/recommenders
- ```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 380K / month Β· π¦ 2 Β· β±οΈ 03.02.2023):
- ```
- pip install tensorflow-recommenders
- ```
-RecBole (π₯24 Β· β 3.5K) - A unified, comprehensive and efficient recommendation library. MIT
+TF Recommenders (π₯20 Β· β 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 74 Β· π 610 Β· π 1K - 28% open Β· β±οΈ 05.09.2024):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 43 Β· π 280 Β· π 450 - 59% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/RUCAIBox/RecBole
- ```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 53K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
- ```
- pip install recbole
+ git clone https://github.com/tensorflow/recommenders
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 6.7K Β· β±οΈ 01.11.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π¦ 2 Β· β±οΈ 03.02.2023):
```
- conda install -c aibox recbole
+ pip install tensorflow-recommenders
```
Show 9 hidden projects...
+Show 10 hidden projects...
-- lightfm (π₯28 Β· β 4.8K Β· π) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
-- lkpy (π₯25 Β· β 270) - Python recommendation toolkit. MIT
-- fastFM (π₯22 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. BSD-3
+- implicit (π₯29 Β· β 3.6K Β· π) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT
+- lightfm (π₯26 Β· β 4.8K Β· π) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
+- lkpy (π₯25 Β· β 270) - Python recommendation toolkit. MIT
- tensorrec (π₯21 Β· β 1.3K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2 MIT
-- Case Recommender (π₯19 Β· β 490 Β· π) - Case Recommender: A Flexible and Extensible Python.. MIT BSD-3
- Spotlight (π₯18 Β· β 3K Β· π) - Deep recommender models using PyTorch. MIT Apache-2
- Collie (π₯17 Β· β 110 Β· π) - A library for preparing, training, and evaluating scalable deep.. BSD-3 MIT MIT
@@ -5289,7 +5160,7 @@ _Libraries for building and evaluating recommendation systems._
_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
-PySyft (π₯37 Β· β 9.5K) - Perform data science on data that remains in someone elses server. Apache-2
+PySyft (π₯36 Β· β 9.5K) - Perform data science on data that remains in someone elses server. Apache-2
- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.3K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 03.11.2024):
@@ -5303,12 +5174,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
Opacus (π₯31 Β· β 1.7K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 82 Β· π 340 Β· π₯ 140 Β· π¦ 910 Β· π 310 - 22% open Β· β±οΈ 04.11.2024):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 82 Β· π 340 Β· π₯ 140 Β· π¦ 920 Β· π 310 - 22% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 200K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 160K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
```
pip install opacus
```
@@ -5341,33 +5212,33 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
pip install tensorflow-privacy
```
TFEncrypted (π₯25 Β· β 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
+CrypTen (π₯24 Β· β 1.6K) - A framework for Privacy Preserving Machine Learning. MIT
-- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 29 Β· π 210 Β· π¦ 68 Β· π 440 - 32% open Β· β±οΈ 25.09.2024):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 39 Β· π 270 Β· π¦ 47 Β· π 280 - 28% open Β· β±οΈ 23.11.2024):
```
- git clone https://github.com/tf-encrypted/tf-encrypted
+ git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 1.5K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 390 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
- pip install tf-encrypted
+ pip install crypten
```
CrypTen (π₯24 Β· β 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
+TFEncrypted (π₯21 Β· β 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
-- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 39 Β· π 270 Β· π¦ 47 Β· π 280 - 28% open Β· β±οΈ 23.11.2024):
+- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 29 Β· π 210 Β· π¦ 68 Β· π 440 - 32% open Β· β±οΈ 25.09.2024):
```
- git clone https://github.com/facebookresearch/CrypTen
+ git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 430 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π¦ 9 Β· β±οΈ 16.11.2022):
```
- pip install crypten
+ pip install tf-encrypted
```
Show 1 hidden projects...
-- PipelineDP (π₯20 Β· β 280) - PipelineDP is a Python framework for applying differentially.. Apache-2
+- PipelineDP (π₯18 Β· β 280) - PipelineDP is a Python framework for applying differentially.. Apache-2
@@ -5379,12 +5250,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 19K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 800 Β· π 4.2K Β· π¦ 47K Β· π 4.3K - 38% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 800 Β· π 4.3K Β· π¦ 47K Β· π 4.3K - 38% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 19M / month Β· π¦ 910 Β· β±οΈ 18.11.2024):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 17M / month Β· π¦ 920 Β· β±οΈ 04.12.2024):
```
pip install mlflow
```
@@ -5393,94 +5264,94 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge mlflow
```
Tensorboard (π₯43 Β· β 6.7K Β· π) - TensorFlows Visualization Toolkit. Apache-2
+wandb client (π₯42 Β· β 9.2K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 320 Β· π 1.7K Β· π¦ 280K Β· π 1.9K - 35% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 200 Β· π 680 Β· π₯ 380 Β· π¦ 60K Β· π 3.4K - 17% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/tensorflow/tensorboard
+ git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 24M / month Β· π¦ 2.2K Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 19M / month Β· π¦ 1.5K Β· β±οΈ 05.12.2024):
```
- pip install tensorboard
+ pip install wandb
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.2M Β· β±οΈ 27.09.2024):
+- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 780K Β· β±οΈ 14.11.2024):
```
- conda install -c conda-forge tensorboard
+ conda install -c conda-forge wandb
```
wandb client (π₯42 Β· β 9.2K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
+SageMaker SDK (π₯41 Β· β 2.1K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 200 Β· π 670 Β· π₯ 370 Β· π¦ 59K Β· π 3.4K - 17% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 460 Β· π 1.1K Β· π¦ 4.9K Β· π 1.5K - 21% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/wandb/client
+ git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 19M / month Β· π¦ 1.5K Β· β±οΈ 13.11.2024):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 24M / month Β· π¦ 160 Β· β±οΈ 05.12.2024):
```
- pip install wandb
+ pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 770K Β· β±οΈ 14.11.2024):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.2M Β· β±οΈ 31.07.2024):
```
- conda install -c conda-forge wandb
+ conda install -c conda-forge sagemaker-python-sdk
```
DVC (π₯41 Β· β 14K) - Data Versioning and ML Experiments. Apache-2
+Tensorboard (π₯40 Β· β 6.7K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 19K Β· π 4.7K - 5% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 320 Β· π 1.7K Β· π¦ 280K Β· π 1.9K - 35% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/iterative/dvc
+ git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 540K / month Β· π¦ 130 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/tensorboard) (π¦ 2.2K Β· β±οΈ 25.09.2024):
```
- pip install dvc
+ pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.4M Β· β±οΈ 26.11.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.2M Β· β±οΈ 27.09.2024):
```
- conda install -c conda-forge dvc
+ conda install -c conda-forge tensorboard
```
SageMaker SDK (π₯41 Β· β 2.1K) - A library for training and deploying machine learning.. Apache-2
+DVC (π₯39 Β· β 14K) - Data Versioning and ML Experiments. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 460 Β· π 1.1K Β· π¦ 4.8K Β· π 1.5K - 21% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 19K Β· π 4.7K - 5% open Β· β±οΈ 01.12.2024):
```
- git clone https://github.com/aws/sagemaker-python-sdk
+ git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 25M / month Β· π¦ 160 Β· β±οΈ 22.11.2024):
+- [PyPi](https://pypi.org/project/dvc) (π¦ 130 Β· β±οΈ 01.12.2024):
```
- pip install sagemaker
+ pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.2M Β· β±οΈ 31.07.2024):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.4M Β· β±οΈ 01.12.2024):
```
- conda install -c conda-forge sagemaker-python-sdk
+ conda install -c conda-forge dvc
```
Metaflow (π₯36 Β· β 8.3K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2
+snakemake (π₯34 Β· β 2.3K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 97 Β· π 770 Β· π¦ 760 Β· π 760 - 44% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 340 Β· π 560 Β· π¦ 2.2K Β· π 1.9K - 61% open Β· β±οΈ 29.11.2024):
```
- git clone https://github.com/Netflix/metaflow
+ git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 1.4M / month Β· π¦ 47 Β· β±οΈ 27.11.2024):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 120K / month Β· π¦ 250 Β· β±οΈ 29.11.2024):
```
- pip install metaflow
+ pip install snakemake
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 230K Β· β±οΈ 27.11.2024):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.2M Β· β±οΈ 02.12.2024):
```
- conda install -c conda-forge metaflow
+ conda install -c bioconda snakemake
```
PyCaret (π₯35 Β· β 9K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯33 Β· β 9K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.8K Β· π₯ 720 Β· π¦ 6.7K Β· π 2.3K - 16% open Β· β±οΈ 30.08.2024):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.8K Β· π₯ 720 Β· π¦ 6.8K Β· π 2.3K - 16% open Β· β±οΈ 30.08.2024):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 410K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pycaret) (π¦ 31 Β· β±οΈ 28.04.2024):
```
pip install pycaret
```
@@ -5489,94 +5360,106 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge pycaret
```
snakemake (π₯34 Β· β 2.3K) - This is the development home of the workflow management system.. MIT
+Metaflow (π₯33 Β· β 8.3K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 340 Β· π 560 Β· π¦ 2.2K Β· π 1.9K - 61% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 99 Β· π 770 Β· π¦ 760 Β· π 760 - 44% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/snakemake/snakemake
+ git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 120K / month Β· π¦ 250 Β· β±οΈ 27.11.2024):
+- [PyPi](https://pypi.org/project/metaflow) (π¦ 47 Β· β±οΈ 04.12.2024):
```
- pip install snakemake
+ pip install metaflow
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.2M Β· β±οΈ 27.11.2024):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 230K Β· β±οΈ 02.12.2024):
```
- conda install -c bioconda snakemake
+ conda install -c conda-forge metaflow
```
tensorboardX (π₯33 Β· β 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
+kaggle (π₯33 Β· β 6.3K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 860 Β· π₯ 450 Β· π¦ 51K Β· π 460 - 17% open Β· β±οΈ 16.11.2024):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 48 Β· π 1.1K Β· π¦ 21 Β· π 490 - 30% open Β· β±οΈ 12.11.2024):
```
- git clone https://github.com/lanpa/tensorboardX
+ git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 4.5M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 260K / month Β· π¦ 210 Β· β±οΈ 24.07.2024):
```
- pip install tensorboardX
+ pip install kaggle
```
-- [Conda](https://anaconda.org/conda-forge/tensorboardx) (π₯ 1.2M Β· β±οΈ 20.08.2023):
+- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 200K Β· β±οΈ 27.07.2024):
```
- conda install -c conda-forge tensorboardx
+ conda install -c conda-forge kaggle
```
kaggle (π₯33 Β· β 6.3K) - Official Kaggle API. Apache-2
+aim (π₯32 Β· β 5.2K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 48 Β· π 1.1K Β· π¦ 21 Β· π 490 - 30% open Β· β±οΈ 12.11.2024):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 77 Β· π 320 Β· π¦ 750 Β· π 1K - 36% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/Kaggle/kaggle-api
+ git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/kaggle) (π₯ 270K / month Β· π¦ 210 Β· β±οΈ 24.07.2024):
+- [PyPi](https://pypi.org/project/aim) (π₯ 270K / month Β· π¦ 40 Β· β±οΈ 04.12.2024):
```
- pip install kaggle
+ pip install aim
```
-- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 190K Β· β±οΈ 27.07.2024):
+- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 88K Β· β±οΈ 14.06.2024):
```
- conda install -c conda-forge kaggle
+ conda install -c conda-forge aim
```
ClearML (π₯33 Β· β 5.7K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
+AzureML SDK (π₯32 Β· β 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 100 Β· π 660 Β· π₯ 2.9K Β· π¦ 1.4K Β· π 1.1K - 46% open Β· β±οΈ 27.11.2024):
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.5K Β· π₯ 660 Β· π 1.5K - 26% open Β· β±οΈ 04.11.2024):
```
- git clone https://github.com/allegroai/clearml
+ git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 330K / month Β· π¦ 44 Β· β±οΈ 27.10.2024):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 340K / month Β· π¦ 31 Β· β±οΈ 16.10.2024):
```
- pip install clearml
+ pip install azureml-sdk
```
-- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (π₯ 30K Β· β±οΈ 05.10.2020):
+tensorboardX (π₯30 Β· β 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
+
+- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 860 Β· π₯ 450 Β· π¦ 51K Β· π 460 - 17% open Β· β±οΈ 16.11.2024):
+
```
- docker pull allegroai/trains
+ git clone https://github.com/lanpa/tensorboardX
+ ```
+- [PyPi](https://pypi.org/project/tensorboardX) (π¦ 620 Β· β±οΈ 20.08.2023):
+ ```
+ pip install tensorboardX
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensorboardx) (π₯ 1.2M Β· β±οΈ 20.08.2023):
+ ```
+ conda install -c conda-forge tensorboardx
```
aim (π₯33 Β· β 5.2K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
+ClearML (π₯30 Β· β 5.7K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 76 Β· π 320 Β· π¦ 740 Β· π 1K - 36% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 100 Β· π 660 Β· π₯ 3K Β· π¦ 1.4K Β· π 1.1K - 46% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/aimhubio/aim
+ git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 470K / month Β· π¦ 39 Β· β±οΈ 22.11.2024):
+- [PyPi](https://pypi.org/project/clearml) (π¦ 44 Β· β±οΈ 27.10.2024):
```
- pip install aim
+ pip install clearml
```
-- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 87K Β· β±οΈ 14.06.2024):
+- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (π₯ 30K Β· β±οΈ 05.10.2020):
```
- conda install -c conda-forge aim
+ docker pull allegroai/trains
```
sacred (π₯32 Β· β 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
+sacred (π₯29 Β· β 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 110 Β· π 380 Β· π¦ 3.3K Β· π 560 - 18% open Β· β±οΈ 26.11.2024):
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 410K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/sacred) (π¦ 60 Β· β±οΈ 26.11.2024):
```
pip install sacred
```
@@ -5585,114 +5468,114 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge sacred
```
AzureML SDK (π₯32 Β· β 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT
+Labml (π₯28 Β· β 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
-- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.5K Β· π₯ 660 Β· π 1.5K - 26% open Β· β±οΈ 04.11.2024):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 190 Β· π 48 - 10% open Β· β±οΈ 16.11.2024):
```
- git clone https://github.com/Azure/MachineLearningNotebooks
+ git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 360K / month Β· π¦ 31 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/labml) (π₯ 7.2K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
```
- pip install azureml-sdk
+ pip install labml
```
VisualDL (π₯30 Β· β 4.8K) - Deep Learning Visualization Toolkit. Apache-2
+ml-metadata (π₯28 Β· β 630) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 36 Β· π 630 Β· π₯ 470 Β· π¦ 2 Β· π 500 - 28% open Β· β±οΈ 13.11.2024):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 21 Β· π 150 Β· π₯ 2.8K Β· π¦ 590 Β· π 120 - 38% open Β· β±οΈ 24.10.2024):
```
- git clone https://github.com/PaddlePaddle/VisualDL
+ git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 210K / month Β· π¦ 82 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 88K / month Β· π¦ 31 Β· β±οΈ 01.10.2024):
```
- pip install visualdl
+ pip install ml-metadata
```
Neptune.ai (π₯29 Β· β 590) - The experiment tracker for foundation model training. Apache-2
+TNT (π₯26 Β· β 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 63 Β· π¦ 680 Β· π 240 - 9% open Β· β±οΈ 04.11.2024):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 140 Β· π 280 Β· π 150 - 56% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/neptune-ai/neptune-client
- ```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 540K / month Β· π¦ 77 Β· β±οΈ 31.10.2024):
- ```
- pip install neptune-client
+ git clone https://github.com/pytorch/tnt
```
-- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 290K Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.8K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
```
- conda install -c conda-forge neptune-client
+ pip install torchnet
```
Labml (π₯28 Β· β 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
+Neptune.ai (π₯26 Β· β 590) - The experiment tracker for foundation model training. Apache-2
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 190 Β· π 48 - 10% open Β· β±οΈ 16.11.2024):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 63 Β· π¦ 680 Β· π 240 - 10% open Β· β±οΈ 04.11.2024):
```
- git clone https://github.com/labmlai/labml
+ git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 7.9K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
+- [PyPi](https://pypi.org/project/neptune-client) (π¦ 77 Β· β±οΈ 31.10.2024):
```
- pip install labml
+ pip install neptune-client
+ ```
+- [Conda](https://anaconda.org/conda-forge/neptune-client) (π₯ 300K Β· β±οΈ 31.10.2024):
+ ```
+ conda install -c conda-forge neptune-client
```
ml-metadata (π₯28 Β· β 630) - For recording and retrieving metadata associated with ML.. Apache-2
+VisualDL (π₯25 Β· β 4.8K) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 21 Β· π 150 Β· π₯ 2.7K Β· π¦ 590 Β· π 120 - 38% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 36 Β· π 630 Β· π₯ 470 Β· π¦ 2 Β· π 500 - 28% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/google/ml-metadata
+ git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 92K / month Β· π¦ 31 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/visualdl) (π¦ 82 Β· β±οΈ 30.10.2024):
```
- pip install ml-metadata
+ pip install visualdl
```
TNT (π₯26 Β· β 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3
+gokart (π₯25 Β· β 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 140 Β· π 280 Β· π 150 - 56% open Β· β±οΈ 21.11.2024):
+- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 41 Β· π 57 Β· π¦ 84 Β· π 85 - 25% open Β· β±οΈ 02.12.2024):
```
- git clone https://github.com/pytorch/tnt
+ git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.9K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 4.7K / month Β· π¦ 8 Β· β±οΈ 02.12.2024):
```
- pip install torchnet
+ pip install gokart
```
quinn (π₯26 Β· β 650) - pyspark methods to enhance developer productivity. Apache-2
+quinn (π₯19 Β· β 650 Β· π) - pyspark methods to enhance developer productivity. Apache-2
- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 32 Β· π 98 Β· π₯ 45 Β· π¦ 88 Β· π 140 - 26% open Β· β±οΈ 12.10.2024):
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 680K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/quinn) (π¦ 7 Β· β±οΈ 13.02.2024):
```
pip install quinn
```
gokart (π₯25 Β· β 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
+keepsake (π₯16 Β· β 1.6K) - Version control for machine learning. Apache-2
-- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 41 Β· π 57 Β· π¦ 84 Β· π 88 - 28% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/replicate/keepsake) (π¨βπ» 18 Β· π 71 Β· π 190 - 66% open Β· β±οΈ 03.12.2024):
```
- git clone https://github.com/m3dev/gokart
+ git clone https://github.com/replicate/keepsake
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 4.9K / month Β· π¦ 8 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/keepsake) (π¦ 1 Β· β±οΈ 25.01.2021):
```
- pip install gokart
+ pip install keepsake
```
caliban (π₯16 Β· β 500 Β· π€) - Research workflows made easy, locally and in the Cloud. Apache-2
+caliban (π₯16 Β· β 490 Β· π€) - Research workflows made easy, locally and in the Cloud. Apache-2
- [GitHub](https://github.com/google/caliban) (π¨βπ» 10 Β· π 66 Β· π¦ 4 Β· π 34 - 55% open Β· β±οΈ 25.01.2024):
```
git clone https://github.com/google/caliban
```
-- [PyPi](https://pypi.org/project/caliban) (π₯ 950 / month Β· β±οΈ 12.09.2020):
+- [PyPi](https://pypi.org/project/caliban) (π₯ 670 / month Β· β±οΈ 12.09.2020):
```
pip install caliban
```
@@ -5704,7 +5587,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/comet-ml/examples
```
-- [PyPi](https://pypi.org/project/comet_ml) (π₯ 560K / month Β· π¦ 81 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 550K / month Β· π¦ 81 Β· β±οΈ 28.11.2024):
```
pip install comet_ml
```
@@ -5713,23 +5596,22 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c anaconda comet_ml
```
Show 17 hidden projects...
+Show 16 hidden projects...
-- Catalyst (π₯28 Β· β 3.3K Β· π) - Accelerated deep learning R&D. Apache-2 MIT
-- livelossplot (π₯25 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT Apache-2 βοΈBSD-1-Clause MIT
- Guild AI (π₯23 Β· β 870 Β· π) - Experiment tracking, ML developer tools. Apache-2
- hiddenlayer (π₯22 Β· β 1.8K Β· π) - Neural network graphs and training metrics for.. MIT Apache-2
-- lore (π₯21 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. MIT
+- livelossplot (π₯21 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT MIT
- TensorWatch (π₯20 Β· β 3.4K Β· π) - Debugging, monitoring and visualization for Python Machine.. MIT
-- MXBoard (π₯20 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2 MIT
-- keepsake (π₯18 Β· β 1.6K Β· π) - Version control for machine learning. Apache-2
-- chitra (π₯17 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
+- lore (π₯18 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. MIT
+- datmo (π₯18 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
+- MXBoard (π₯17 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2 MIT
+- chitra (π₯15 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
- ModelChimp (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (π₯9 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. Apache-2 onnx (π₯43 Β· β 18K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 330 Β· π 3.7K Β· π₯ 22K Β· π¦ 36K Β· π 2.9K - 11% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 330 Β· π 3.7K Β· π₯ 22K Β· π¦ 37K Β· π 2.9K - 11% open Β· β±οΈ 29.11.2024):
```
git clone https://github.com/onnx/onnx
@@ -5752,14 +5634,14 @@ _Libraries to serialize models to files, convert between a variety of model form
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1.3M Β· β±οΈ 21.10.2024):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1.4M Β· β±οΈ 21.10.2024):
```
conda install -c conda-forge onnx
```
triton (π₯43 Β· β 14K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 350 Β· π 1.7K Β· π¦ 44K Β· π 1.5K - 43% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 350 Β· π 1.7K Β· π¦ 45K Β· π 1.5K - 43% open Β· β±οΈ 04.12.2024):
```
git clone https://github.com/openai/triton
@@ -5769,62 +5651,46 @@ _Libraries to serialize models to files, convert between a variety of model form
pip install triton
```
huggingface_hub (π₯38 Β· β 2.1K) - The official Python client for the Huggingface Hub. Apache-2
-
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 210 Β· π 560 Β· π 1K - 15% open Β· β±οΈ 28.11.2024):
-
- ```
- git clone https://github.com/huggingface/huggingface_hub
- ```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 48M / month Β· π¦ 2.1K Β· β±οΈ 28.11.2024):
- ```
- pip install huggingface_hub
- ```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 2.4M Β· β±οΈ 29.10.2024):
- ```
- conda install -c conda-forge huggingface_hub
- ```
-Core ML Tools (π₯36 Β· β 4.5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 180 Β· π 640 Β· π₯ 12K Β· π¦ 4.3K Β· π 1.5K - 24% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 180 Β· π 640 Β· π₯ 12K Β· π¦ 4.3K Β· π 1.5K - 24% open Β· β±οΈ 02.12.2024):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 1.3M / month Β· π¦ 87 Β· β±οΈ 20.11.2024):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 1.2M / month Β· π¦ 87 Β· β±οΈ 20.11.2024):
```
pip install coremltools
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 75K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 76K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge coremltools
```
BentoML (π₯35 Β· β 7.2K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 210 Β· π 790 Β· π₯ 920 Β· π¦ 2.2K Β· π 1.1K - 15% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 210 Β· π 790 Β· π₯ 880 Β· π¦ 2.2K Β· π 1.1K - 15% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 130K / month Β· π¦ 31 Β· β±οΈ 21.11.2024):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 120K / month Β· π¦ 31 Β· β±οΈ 02.12.2024):
```
pip install bentoml
```
TorchServe (π₯34 Β· β 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 860 Β· π₯ 7.1K Β· π¦ 760 Β· π 1.7K - 24% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 860 Β· π₯ 7.2K Β· π¦ 770 Β· π 1.7K - 24% open Β· β±οΈ 25.11.2024):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 63K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 65K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 370K Β· β±οΈ 30.09.2024):
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 380K Β· β±οΈ 30.09.2024):
```
conda install -c pytorch torchserve
```
@@ -5833,30 +5699,46 @@ _Libraries to serialize models to files, convert between a variety of model form
docker pull pytorch/torchserve
```
huggingface_hub (π₯34 Β· β 2.2K) - The official Python client for the Huggingface Hub. Apache-2
+
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 210 Β· π 560 Β· π 1K - 15% open Β· β±οΈ 04.12.2024):
+
+ ```
+ git clone https://github.com/huggingface/huggingface_hub
+ ```
+- [PyPi](https://pypi.org/project/huggingface_hub) (π¦ 2.1K Β· β±οΈ 28.11.2024):
+ ```
+ pip install huggingface_hub
+ ```
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 2.4M Β· β±οΈ 02.12.2024):
+ ```
+ conda install -c conda-forge huggingface_hub
+ ```
+Hummingbird (π₯26 Β· β 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
-- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 730 Β· π 330 - 20% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 740 Β· π 330 - 20% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 7.7K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 8K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
```
pip install hummingbird-ml
```
-- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (π₯ 51K Β· β±οΈ 20.11.2024):
+- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (π₯ 52K Β· β±οΈ 20.11.2024):
```
conda install -c conda-forge hummingbird-ml
```
hls4ml (π₯26 Β· β 1.3K) - Machine learning on FPGAs using HLS. Apache-2
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 63 Β· π 390 Β· π 440 - 39% open Β· β±οΈ 23.11.2024):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 63 Β· π 390 Β· π 440 - 39% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.2K / month Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.1K / month Β· β±οΈ 19.12.2023):
```
pip install hls4ml
```
@@ -5872,7 +5754,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 810 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 800 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
@@ -5891,16 +5773,16 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 10 hidden projects...
-- mmdnn (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
- m2cgen (π₯25 Β· β 2.8K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
-- cortex (π₯23 Β· β 8K Β· π) - Production infrastructure for machine learning at scale. Apache-2
+- mmdnn (π₯24 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
- sklearn-porter (π₯23 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 Apache-2
-- OMLT (π₯20 Β· β 280) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
+- cortex (π₯22 Β· β 8K Β· π) - Production infrastructure for machine learning at scale. Apache-2
+- OMLT (π₯20 Β· β 290) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
- pytorch2keras (π₯19 Β· β 860 Β· π) - PyTorch to Keras model convertor. MIT
-- modelkit (π₯17 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
-- backprop (π₯16 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
-- ml-ane-transformers (π₯13 Β· β 2.6K Β· π) - Reference implementation of the Transformer.. βUnlicensed Apache-2
+- backprop (π₯15 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
+- modelkit (π₯13 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
+- ml-ane-transformers (π₯10 Β· β 2.6K Β· π) - Reference implementation of the Transformer.. βUnlicensed
@@ -5910,42 +5792,42 @@ _Libraries to serialize models to files, convert between a variety of model form
_Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
-shap (π₯42 Β· β 23K) - A game theoretic approach to explain the output of any machine learning model. MIT
+shap (π₯39 Β· β 23K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 250 Β· π 3.3K Β· π¦ 22K Β· π 2.5K - 28% open Β· β±οΈ 20.11.2024):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 250 Β· π 3.3K Β· π¦ 23K Β· π 2.6K - 28% open Β· β±οΈ 20.11.2024):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 6.9M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
+- [PyPi](https://pypi.org/project/shap) (π¦ 750 Β· β±οΈ 27.06.2024):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 4.4M Β· β±οΈ 20.11.2024):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 4.5M Β· β±οΈ 20.11.2024):
```
conda install -c conda-forge shap
```
Netron (π₯37 Β· β 28K) - Visualizer for neural network, deep learning and machine learning.. MIT
+Netron (π₯37 Β· β 29K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 80K Β· π¦ 600 Β· π 1.2K - 1% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 83K Β· π¦ 600 Β· π 1.2K - 1% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 29K / month Β· π¦ 83 Β· β±οΈ 23.11.2024):
+- [PyPi](https://pypi.org/project/netron) (π₯ 31K / month Β· π¦ 83 Β· β±οΈ 29.11.2024):
```
pip install netron
```
arviz (π₯36 Β· β 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2
+arviz (π₯34 Β· β 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 410 Β· π₯ 160 Β· π¦ 8.3K Β· π 870 - 20% open Β· β±οΈ 19.11.2024):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 410 Β· π₯ 170 Β· π¦ 8.4K Β· π 870 - 20% open Β· β±οΈ 19.11.2024):
```
git clone https://github.com/arviz-devs/arviz
```
-- [PyPi](https://pypi.org/project/arviz) (π₯ 1.3M / month Β· π¦ 310 Β· β±οΈ 28.09.2024):
+- [PyPi](https://pypi.org/project/arviz) (π¦ 310 Β· β±οΈ 28.09.2024):
```
pip install arviz
```
@@ -5954,66 +5836,70 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge arviz
```
Captum (π₯34 Β· β 5K) - Model interpretability and understanding for PyTorch. BSD-3
+InterpretML (π₯33 Β· β 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 120 Β· π 500 Β· π¦ 2.6K Β· π 590 - 42% open Β· β±οΈ 21.11.2024):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 730 Β· π¦ 800 Β· π 450 - 23% open Β· β±οΈ 05.12.2024):
```
- git clone https://github.com/pytorch/captum
- ```
-- [PyPi](https://pypi.org/project/captum) (π₯ 290K / month Β· π¦ 130 Β· β±οΈ 05.12.2023):
- ```
- pip install captum
+ git clone https://github.com/interpretml/interpret
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 94K Β· β±οΈ 16.06.2023):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 130K / month Β· π¦ 50 Β· β±οΈ 28.11.2024):
```
- conda install -c conda-forge captum
+ pip install interpret
```
InterpretML (π₯33 Β· β 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT
+Captum (π₯32 Β· β 5K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 730 Β· π¦ 800 Β· π 450 - 23% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 120 Β· π 500 Β· π¦ 2.6K Β· π 590 - 42% open Β· β±οΈ 21.11.2024):
```
- git clone https://github.com/interpretml/interpret
+ git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 120K / month Β· π¦ 50 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/captum) (π¦ 130 Β· β±οΈ 05.12.2023):
```
- pip install interpret
+ pip install captum
+ ```
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 97K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge captum
```
evaluate (π₯32 Β· β 2K) - Evaluate: A library for easily evaluating machine learning models and.. Apache-2
+evaluate (π₯31 Β· β 2K) - Evaluate: A library for easily evaluating machine learning models and.. Apache-2
- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 260 Β· π¦ 15K Β· π 360 - 60% open Β· β±οΈ 17.09.2024):
```
git clone https://github.com/huggingface/evaluate
```
-- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.7M / month Β· π¦ 400 Β· β±οΈ 11.09.2024):
+- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.8M / month Β· π¦ 400 Β· β±οΈ 11.09.2024):
```
pip install evaluate
```
shapash (π₯31 Β· β 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
+DoWhy (π₯30 Β· β 7.2K Β· π) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 40 Β· π 330 Β· π¦ 180 Β· π 220 - 17% open Β· β±οΈ 28.10.2024):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 99 Β· π 940 Β· π₯ 42 Β· π¦ 460 Β· π 480 - 28% open Β· β±οΈ 24.11.2024):
```
- git clone https://github.com/MAIF/shapash
+ git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 46K / month Β· π¦ 4 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 61K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
```
- pip install shapash
+ pip install dowhy
+ ```
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 36K Β· β±οΈ 25.11.2024):
+ ```
+ conda install -c conda-forge dowhy
```
fairlearn (π₯30 Β· β 2K) - A Python package to assess and improve fairness of machine learning.. MIT
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 87 Β· π 420 Β· π¦ 3 Β· π 480 - 32% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 87 Β· π 420 Β· π¦ 3 Β· π 490 - 32% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 200K / month Β· π¦ 59 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 190K / month Β· π¦ 59 Β· β±οΈ 31.10.2024):
```
pip install fairlearn
```
@@ -6022,82 +5908,38 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge fairlearn
```
Model Analysis (π₯30 Β· β 1.3K) - Model analysis tools for TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 59 Β· π 280 Β· π 93 - 40% open Β· β±οΈ 27.11.2024):
-
- ```
- git clone https://github.com/tensorflow/model-analysis
- ```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 220K / month Β· π¦ 19 Β· β±οΈ 05.11.2024):
- ```
- pip install tensorflow-model-analysis
- ```
-DoWhy (π₯29 Β· β 7.1K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
+pyLDAvis (π₯29 Β· β 1.8K Β· π€) - Python library for interactive topic model visualization... BSD-3
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 99 Β· π 940 Β· π₯ 41 Β· π¦ 460 Β· π 480 - 28% open Β· β±οΈ 24.11.2024):
+- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 42 Β· π 360 Β· π¦ 6.7K Β· π 190 - 40% open Β· β±οΈ 29.04.2024):
```
- git clone https://github.com/py-why/dowhy
+ git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 58K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 150K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
```
- pip install dowhy
+ pip install pyldavis
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 35K Β· β±οΈ 25.11.2024):
+- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 89K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge dowhy
+ conda install -c conda-forge pyldavis
```
LIT (π₯29 Β· β 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
+LIT (π₯28 Β· β 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 38 Β· π 360 Β· π¦ 41 Β· π 200 - 57% open Β· β±οΈ 22.10.2024):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 7.9K / month Β· π¦ 3 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π¦ 3 Β· β±οΈ 22.10.2024):
```
pip install lit-nlp
```
-- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 97K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 98K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge lit-nlp
```
explainerdashboard (π₯29 Β· β 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT
-
-- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 21 Β· π 330 Β· π¦ 570 Β· π 240 - 14% open Β· β±οΈ 20.06.2024):
-
- ```
- git clone https://github.com/oegedijk/explainerdashboard
- ```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 72K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
- ```
- pip install explainerdashboard
- ```
-- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 56K Β· β±οΈ 18.03.2024):
- ```
- conda install -c conda-forge explainerdashboard
- ```
-pyLDAvis (π₯29 Β· β 1.8K Β· π€) - Python library for interactive topic model visualization... BSD-3
-
-- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 42 Β· π 360 Β· π¦ 6.7K Β· π 190 - 40% open Β· β±οΈ 29.04.2024):
-
- ```
- git clone https://github.com/bmabey/pyLDAvis
- ```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 140K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
- ```
- pip install pyldavis
- ```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 88K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge pyldavis
- ```
-dtreeviz (π₯28 Β· β 3K) - A python library for decision tree visualization and model interpretation. MIT
- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 27 Β· π 330 Β· π¦ 1.4K Β· π 210 - 34% open Β· β±οΈ 29.08.2024):
@@ -6109,7 +5951,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 89K Β· β±οΈ 13.07.2023):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 90K Β· β±οΈ 13.07.2023):
```
conda install -c conda-forge dtreeviz
```
@@ -6121,31 +5963,47 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 200K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 200K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
+ ```
+ pip install imodels
+ ```
+shapash (π₯27 Β· β 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
+
+- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 40 Β· π 330 Β· π¦ 180 Β· π 220 - 17% open Β· β±οΈ 28.10.2024):
+
+ ```
+ git clone https://github.com/MAIF/shapash
+ ```
+- [PyPi](https://pypi.org/project/shapash) (π¦ 4 Β· β±οΈ 25.10.2024):
```
- pip install imodels
+ pip install shapash
```
responsible-ai-widgets (π₯27 Β· β 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT
+explainerdashboard (π₯27 Β· β 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 43 Β· π 360 Β· π 320 - 26% open Β· β±οΈ 07.08.2024):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 21 Β· π 330 Β· π¦ 570 Β· π 240 - 14% open Β· β±οΈ 20.06.2024):
```
- git clone https://github.com/microsoft/responsible-ai-toolbox
+ git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 12K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π¦ 10 Β· β±οΈ 18.03.2024):
```
- pip install raiwidgets
+ pip install explainerdashboard
+ ```
+- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 57K Β· β±οΈ 18.03.2024):
+ ```
+ conda install -c conda-forge explainerdashboard
```
Fairness 360 (π₯26 Β· β 2.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
+Fairness 360 (π₯26 Β· β 2.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 840 Β· π¦ 530 Β· π 300 - 66% open Β· β±οΈ 05.07.2024):
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 32K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 31K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
```
pip install aif360
```
@@ -6154,16 +6012,16 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge aif360
```
CausalNex (π₯24 Β· β 2.2K Β· π€) - A Python library that helps data scientists to infer.. Apache-2
+Model Analysis (π₯25 Β· β 1.3K) - Model analysis tools for TensorFlow. Apache-2
-- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 40 Β· π 260 Β· π¦ 130 Β· π 140 - 17% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 59 Β· π 280 Β· π 93 - 40% open Β· β±οΈ 27.11.2024):
```
- git clone https://github.com/quantumblacklabs/causalnex
+ git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 3.8K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π¦ 19 Β· β±οΈ 05.12.2024):
```
- pip install causalnex
+ pip install tensorflow-model-analysis
```
Explainability 360 (π₯24 Β· β 1.6K) - Interpretability and explainability of data and.. Apache-2
@@ -6173,31 +6031,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
```
pip install aix360
```
keract (π₯23 Β· β 1K Β· π€) - Layers Outputs and Gradients in Keras. Made easy. MIT
+