diff --git a/README.md b/README.md
index 097ffe8..294f31e 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.9M
- [Financial Data](#financial-data) _25 projects_
- [Time Series Data](#time-series-data) _29 projects_
- [Medical Data](#medical-data) _19 projects_
-- [Tabular Data](#tabular-data) _5 projects_
+- [Tabular Data](#tabular-data) _6 projects_
- [Optical Character Recognition](#optical-character-recognition) _12 projects_
- [Data Containers & Structures](#data-containers--structures) _1 projects_
- [Data Loading & Extraction](#data-loading--extraction) _1 projects_
@@ -101,12 +101,12 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯56 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.8K Β· π 75K Β· π¦ 500K Β· π 47K - 15% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.9K Β· π 75K Β· π¦ 510K Β· π 48K - 18% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 22M / month Β· π¦ 8.7K Β· β±οΈ 12.03.2025):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 22M / month Β· π¦ 8.9K Β· β±οΈ 12.03.2025):
```
pip install tensorflow
```
@@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 80M Β· β 2.7K Β· β±οΈ 24.04.2025):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 80M Β· β 2.8K Β· β±οΈ 08.05.2025):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯55 Β· β 89K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
+PyTorch (π₯55 Β· β 90K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.6K Β· π 24K Β· π₯ 85K Β· π¦ 730K Β· π 52K - 31% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.6K Β· π 24K Β· π₯ 86K Β· π¦ 750K Β· π 52K - 31% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 48M / month Β· π¦ 24K Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/torch) (π₯ 49M / month Β· π¦ 24K Β· β±οΈ 23.04.2025):
```
pip install torch
```
@@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯53 Β· β 62K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.3K Β· π 26K Β· π₯ 1.1K Β· π¦ 1.2M Β· π 12K - 17% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.3K Β· π 26K Β· π₯ 1.1K Β· π¦ 1.2M Β· π 12K - 17% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 93M / month Β· π¦ 30K Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 96M / month Β· π¦ 30K Β· β±οΈ 10.01.2025):
```
pip install scikit-learn
```
@@ -153,7 +153,7 @@ _General-purpose machine learning and deep learning frameworks._
Keras (π₯47 Β· β 63K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 20K Β· π 12K - 2% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 20K Β· π 13K - 2% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/keras-team/keras
@@ -162,14 +162,14 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install keras
```
-- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 4.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/keras) (π₯ 4.1M Β· β±οΈ 30.04.2025):
```
conda install -c conda-forge keras
```
XGBoost (π₯46 Β· β 27K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 660 Β· π 8.8K Β· π₯ 16K Β· π¦ 150K Β· π 5.5K - 8% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 660 Β· π 8.8K Β· π₯ 16K Β· π¦ 150K Β· π 5.5K - 8% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/dmlc/xgboost
@@ -178,30 +178,30 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 6M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 6.1M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge xgboost
```
jax (π₯45 Β· β 32K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 860 Β· π 3K Β· π¦ 42K Β· π 6.1K - 24% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 880 Β· π 3K Β· π¦ 43K Β· π 6.2K - 24% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 8.4M / month Β· π¦ 2.4K Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/jax) (π₯ 7.6M / month Β· π¦ 2.4K Β· β±οΈ 17.04.2025):
```
pip install jax
```
-- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 2.5M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/jaxlib) (π₯ 2.6M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge jaxlib
```
PaddlePaddle (π₯45 Β· β 23K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.4K Β· π 5.7K Β· π₯ 15K Β· π¦ 7.8K Β· π 19K - 9% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.4K Β· π 5.7K Β· π₯ 15K Β· π¦ 8K Β· π 19K - 9% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/PaddlePaddle/Paddle
@@ -211,14 +211,14 @@ _General-purpose machine learning and deep learning frameworks._
pip install paddlepaddle
```
PySpark (π₯44 Β· β 41K Β· π) - Apache Spark Python API. Apache-2 
+PySpark (π₯44 Β· β 41K) - Apache Spark Python API. Apache-2
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.2K Β· π 28K Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.2K Β· π 29K Β· β±οΈ 08.05.2025):
```
git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 42M / month Β· π¦ 1.8K Β· β±οΈ 27.02.2025):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 44M / month Β· π¦ 1.8K Β· β±οΈ 27.02.2025):
```
pip install pyspark
```
@@ -227,25 +227,25 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge pyspark
```
pytorch-lightning (π₯44 Β· β 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
+pytorch-lightning (π₯43 Β· β 29K Β· π) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 1K Β· π 3.5K Β· π₯ 12K Β· π¦ 45K Β· π 7.3K - 12% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 1K Β· π 3.5K Β· π₯ 12K Β· π¦ 46K Β· π 7.3K - 12% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 8.3M / month Β· π¦ 1.6K Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 9.2M / month Β· π¦ 1.7K Β· β±οΈ 25.04.2025):
```
pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.5M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.5M Β· β±οΈ 28.04.2025):
```
conda install -c conda-forge pytorch-lightning
```
StatsModels (π₯44 Β· β 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+StatsModels (π₯43 Β· β 11K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 450 Β· π 3.1K Β· π₯ 35 Β· π¦ 170K Β· π 5.7K - 50% open Β· β±οΈ 02.04.2025):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 460 Β· π 3.1K Β· π₯ 35 Β· π¦ 170K Β· π 5.7K - 50% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/statsmodels/statsmodels
@@ -259,42 +259,30 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge statsmodels
```
Fastai (π₯42 Β· β 27K Β· π) - The fastai deep learning library. Apache-2
-
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 22K Β· π 1.8K - 13% open Β· β±οΈ 19.04.2025):
-
- ```
- git clone https://github.com/fastai/fastai
- ```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 500K / month Β· π¦ 330 Β· β±οΈ 18.04.2025):
- ```
- pip install fastai
- ```
-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» 330 Β· π 3.9K Β· π₯ 290K Β· π¦ 50K Β· π 3.5K - 11% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 330 Β· π 3.9K Β· π₯ 290K Β· π¦ 51K Β· π 3.6K - 11% open Β· β±οΈ 03.05.2025):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 10M / month Β· π¦ 1.2K Β· β±οΈ 15.02.2025):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 11M / month Β· π¦ 1.2K Β· β±οΈ 15.02.2025):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 3.4M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 3.5M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge lightgbm
```
Catboost (π₯42 Β· β 8.4K) - 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₯ 380K Β· π¦ 16 Β· π 2.4K - 25% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 380K Β· π¦ 17 Β· π 2.4K - 25% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.9M / month Β· π¦ 650 Β· β±οΈ 13.04.2025):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.6M / month Β· π¦ 650 Β· β±οΈ 13.04.2025):
```
pip install catboost
```
@@ -303,21 +291,33 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge catboost
```
Fastai (π₯41 Β· β 27K) - The fastai deep learning library. Apache-2
+
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.6K Β· π¦ 22K Β· π 1.8K - 13% open Β· β±οΈ 19.04.2025):
+
+ ```
+ git clone https://github.com/fastai/fastai
+ ```
+- [PyPi](https://pypi.org/project/fastai) (π₯ 530K / month Β· π¦ 330 Β· β±οΈ 18.04.2025):
+ ```
+ pip install fastai
+ ```
+PyFlink (π₯40 Β· β 25K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 13K Β· π¦ 21 Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 13K Β· π¦ 21 Β· β±οΈ 08.05.2025):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 5.5M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 7.7M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
```
pip install apache-flink
```
Flax (π₯37 Β· β 6.5K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/google/flax) (π¨βπ» 260 Β· π 690 Β· π₯ 60 Β· π¦ 14K Β· π 1.2K - 33% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 260 Β· π 690 Β· π₯ 61 Β· π¦ 14K Β· π 1.2K - 33% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/google/flax
@@ -326,19 +326,19 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 97K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 99K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge flax
```
Ignite (π₯37 Β· β 4.7K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 840 Β· π 650 Β· π¦ 3.7K Β· π 1.4K - 11% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 850 Β· π 650 Β· π¦ 3.8K Β· π 1.4K - 10% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 180K / month Β· π¦ 110 Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 180K / month Β· π¦ 110 Β· β±οΈ 08.05.2025):
```
pip install pytorch-ignite
```
@@ -349,16 +349,16 @@ _General-purpose machine learning and deep learning frameworks._
einops (π₯36 Β· β 8.9K) - Flexible and powerful tensor operations for readable and reliable code.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 33 Β· π 360 Β· π¦ 71K Β· π 200 - 18% open Β· β±οΈ 09.02.2025):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 33 Β· π 360 Β· π¦ 73K Β· π 200 - 17% open Β· β±οΈ 25.04.2025):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 9.4M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
+- [PyPi](https://pypi.org/project/einops) (π₯ 9.6M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 370K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 380K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge einops
```
@@ -370,11 +370,11 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 85K / month Β· π¦ 29 Β· β±οΈ 24.03.2025):
+- [PyPi](https://pypi.org/project/jina) (π₯ 76K / month Β· π¦ 29 Β· β±οΈ 24.03.2025):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 92K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 94K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge jina-core
```
@@ -385,24 +385,24 @@ _General-purpose machine learning and deep learning frameworks._
ivy (π₯34 Β· β 14K) - Convert Machine Learning Code Between Frameworks. Apache-2
-- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.7K Β· π 17K - 5% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.7K Β· π 17K - 5% open Β· β±οΈ 29.04.2025):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 29K / month Β· π¦ 16 Β· β±οΈ 21.02.2025):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 24K / month Β· π¦ 16 Β· β±οΈ 21.02.2025):
```
pip install ivy
```
Thinc (π₯34 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 67 Β· π 280 Β· π₯ 1.2K Β· π¦ 66K Β· π 150 - 12% open Β· β±οΈ 07.03.2025):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 67 Β· π 280 Β· π₯ 1.2K Β· π¦ 67K Β· π 150 - 12% open Β· β±οΈ 07.03.2025):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 17M / month Β· π¦ 160 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 18M / month Β· π¦ 160 Β· β±οΈ 04.04.2025):
```
pip install thinc
```
@@ -418,7 +418,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 49K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 26K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
pip install vowpalwabbit
```
@@ -429,56 +429,40 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (π₯33 Β· β 5.3K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 330 Β· π 1.7K Β· π 1.6K - 0% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 330 Β· π 1.7K Β· π 1.6K - 0% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 7.2K / month Β· π¦ 6 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 6.2K / month Β· π¦ 6 Β· β±οΈ 04.04.2025):
```
pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 350K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 360K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mlpack
```
Ludwig (π₯32 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
+Ludwig (π₯32 Β· β 11K Β· π€) - Low-code framework for building custom LLMs, neural networks,.. Apache-2
- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 300 Β· π 1.1K - 4% open Β· β±οΈ 17.10.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 2.5K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 2K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
pip install ludwig
```
Sonnet (π₯32 Β· β 9.8K) - TensorFlow-based neural network library. Apache-2
-
-- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 61 Β· π 1.3K Β· π¦ 1.4K Β· π 190 - 16% open Β· β±οΈ 14.02.2025):
-
- ```
- git clone https://github.com/deepmind/sonnet
- ```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 22K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
- ```
- pip install dm-sonnet
- ```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 41K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge sonnet
- ```
-skorch (π₯32 Β· β 6K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 67 Β· π 390 Β· π¦ 1.6K Β· π 540 - 12% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 67 Β· π 390 Β· π¦ 1.7K Β· π 540 - 12% open Β· β±οΈ 24.04.2025):
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 130K / month Β· π¦ 94 Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 110K / month Β· π¦ 94 Β· β±οΈ 10.01.2025):
```
pip install skorch
```
@@ -487,60 +471,60 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge skorch
```
Haiku (π₯31 Β· β 3K) - JAX-based neural network library. Apache-2
+tensorflow-upstream (π₯32 Β· β 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 85 Β· π 240 Β· π¦ 2.4K Β· π 250 - 29% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.9K Β· π 99 Β· π₯ 29 Β· π 390 - 4% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/deepmind/dm-haiku
- ```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 190K / month Β· π¦ 190 Β· β±οΈ 22.04.2025):
- ```
- pip install dm-haiku
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 32K Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 11K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
```
- conda install -c conda-forge dm-haiku
+ pip install tensorflow-rocm
```
tensorflow-upstream (π₯31 Β· β 690) - TensorFlow ROCm port. Apache-2
+Sonnet (π₯31 Β· β 9.8K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.9K Β· π 99 Β· π₯ 29 Β· π 390 - 4% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 61 Β· π 1.3K Β· π¦ 1.4K Β· π 190 - 16% open Β· β±οΈ 14.02.2025):
```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 6.1K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 19K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
```
- pip install tensorflow-rocm
+ pip install dm-sonnet
+ ```
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 42K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge sonnet
```
Determined (π₯30 Β· β 3.1K) - Determined is an open-source machine learning platform.. Apache-2
+Haiku (π₯31 Β· β 3K) - JAX-based neural network library. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 13K Β· π 450 - 22% open Β· β±οΈ 20.03.2025):
+- [GitHub](https://github.com/google-deepmind/dm-haiku) (π¨βπ» 88 Β· π 240 Β· π¦ 2.5K Β· π 250 - 29% open Β· β±οΈ 01.05.2025):
```
- git clone https://github.com/determined-ai/determined
+ git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 160K / month Β· π¦ 4 Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 220K / month Β· π¦ 190 Β· β±οΈ 22.04.2025):
```
- pip install determined
+ pip install dm-haiku
+ ```
+- [Conda](https://anaconda.org/conda-forge/dm-haiku) (π₯ 33K Β· β±οΈ 23.04.2025):
+ ```
+ conda install -c conda-forge dm-haiku
```
Geomstats (π₯29 Β· β 1.3K) - Computations and statistics on manifolds with geometric structures. MIT
+Determined (π₯29 Β· β 3.1K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 95 Β· π 250 Β· π¦ 140 Β· π 570 - 36% open Β· β±οΈ 28.02.2025):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 13K Β· π 450 - 22% open Β· β±οΈ 20.03.2025):
```
- git clone https://github.com/geomstats/geomstats
- ```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 5.5K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
- ```
- pip install geomstats
+ git clone https://github.com/determined-ai/determined
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 6.2K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/determined) (π₯ 35K / month Β· π¦ 4 Β· β±οΈ 19.03.2025):
```
- conda install -c conda-forge geomstats
+ pip install determined
```
NuPIC (π₯28 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
@@ -550,31 +534,35 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/numenta/nupic
```
-- [PyPi](https://pypi.org/project/nupic) (π₯ 2.4K / month Β· β±οΈ 01.09.2016):
+- [PyPi](https://pypi.org/project/nupic) (π₯ 2.2K / month Β· β±οΈ 01.09.2016):
```
pip install nupic
```
ktrain (π₯27 Β· β 1.3K Β· π€) - ktrain is a Python library that makes deep learning and AI.. Apache-2
+Geomstats (π₯28 Β· β 1.3K) - Computations and statistics on manifolds with geometric structures. MIT
-- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 570 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+- [GitHub](https://github.com/geomstats/geomstats) (π¨βπ» 95 Β· π 250 Β· π¦ 140 Β· π 570 - 36% open Β· β±οΈ 28.02.2025):
```
- git clone https://github.com/amaiya/ktrain
+ git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 8K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 5.6K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
```
- pip install ktrain
+ pip install geomstats
+ ```
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 6.4K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge geomstats
```
pyRiemann (π₯27 Β· β 680) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 37 Β· π 170 Β· π¦ 450 Β· π 110 - 2% open Β· β±οΈ 17.04.2025):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 37 Β· π 170 Β· π¦ 460 Β· π 110 - 2% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 53K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 52K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
```
pip install pyriemann
```
@@ -590,19 +578,31 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 7.9K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 7.7K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
```
pip install nnabla
```
Towhee (π₯24 Β· β 3.4K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+ktrain (π₯26 Β· β 1.3K Β· π€) - ktrain is a Python library that makes deep learning and AI.. Apache-2
+
+- [GitHub](https://github.com/amaiya/ktrain) (π¨βπ» 17 Β· π 270 Β· π¦ 570 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+
+ ```
+ git clone https://github.com/amaiya/ktrain
+ ```
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 7.9K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+ ```
+ pip install ktrain
+ ```
+Towhee (π₯24 Β· β 3.4K Β· π€) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 38 Β· π 260 Β· π₯ 2.7K Β· π 680 - 0% open Β· β±οΈ 18.10.2024):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 38 Β· π 260 Β· π₯ 2.7K Β· π 670 - 0% open Β· β±οΈ 18.10.2024):
```
git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 14K / month Β· β±οΈ 04.12.2023):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 10K / month Β· β±οΈ 04.12.2023):
```
pip install towhee
```
@@ -614,7 +614,7 @@ _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 26.02.2025):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.1K / month Β· β±οΈ 26.02.2025):
```
pip install fklearn
```
@@ -626,26 +626,14 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/runhouse) (π₯ 25K / month Β· π¦ 1 Β· β±οΈ 10.03.2025):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 22K / month Β· π¦ 1 Β· β±οΈ 10.03.2025):
```
pip install runhouse
```
ThunderSVM (π₯22 Β· β 1.6K Β· π€) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
-
-- [GitHub](https://github.com/Xtra-Computing/thundersvm) (π¨βπ» 37 Β· π 220 Β· π₯ 3K Β· π 230 - 35% open Β· β±οΈ 01.04.2024):
-
- ```
- git clone https://github.com/Xtra-Computing/thundersvm
- ```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 1.6K / month Β· β±οΈ 13.03.2020):
- ```
- pip install thundersvm
- ```
-NeoML (π₯20 Β· β 770 Β· π€) - Machine learning framework for both deep learning and traditional.. Apache-2
+NeoML (π₯20 Β· β 780) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [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/neoml-lib/neoml) (π¨βπ» 40 Β· π 130 Β· π¦ 2 Β· π 91 - 40% open Β· β±οΈ 03.05.2025):
```
git clone https://github.com/neoml-lib/neoml
@@ -657,12 +645,12 @@ _General-purpose machine learning and deep learning frameworks._
chefboost (π₯20 Β· β 480) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT
-- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 69 Β· β±οΈ 31.03.2025):
+- [GitHub](https://github.com/serengil/chefboost) (π¨βπ» 7 Β· π 100 Β· π¦ 71 Β· β±οΈ 31.03.2025):
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 7.4K / month Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 6.8K / month Β· β±οΈ 30.10.2024):
```
pip install chefboost
```
@@ -674,12 +662,12 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundergbm
```
-- [PyPi](https://pypi.org/project/thundergbm) (π₯ 540 / month Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/thundergbm) (π₯ 420 / month Β· β±οΈ 19.09.2022):
```
pip install thundergbm
```
Show 23 hidden projects...
+Show 24 hidden projects...
- dlib (π₯40 Β· β 14K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
- MXNet (π₯39 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 
Apache-2 Apache-2
- neon (π₯24 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- Neural Tangents (π₯24 Β· β 2.3K Β· π) - Fast and Easy Infinite Neural Networks in Python. Apache-2
- NeuPy (π₯24 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
+- ThunderSVM (π₯22 Β· β 1.6K Β· π) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2
- Torchbearer (π₯22 Β· β 640 Β· π) - torchbearer: A model fitting library for PyTorch. MIT Apache-2
-- elegy (π₯20 Β· β 480 Β· π) - A High Level API for Deep Learning in JAX. MIT Apache-2
- Objax (π₯19 Β· β 770 Β· π) - Objax is a machine learning framework that provides an Object.. Apache-2 MIT MIT
-- nanodl (π₯14 Β· β 290 Β· π€) - A Jax-based library for designing and training small transformers. MIT MIT
@@ -715,12 +704,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (π₯49 Β· β 21K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.8K Β· π¦ 1.7M Β· π 11K - 14% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.8K Β· π¦ 1.7M Β· π 11K - 14% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 85M / month Β· π¦ 56K Β· β±οΈ 27.02.2025):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 83M / month Β· π¦ 56K Β· β±οΈ 27.02.2025):
```
pip install matplotlib
```
@@ -731,48 +720,48 @@ _General-purpose and task-specific data visualization libraries._
dash (π₯46 Β· β 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 180 Β· π 2.1K Β· π₯ 88 Β· π¦ 84K Β· π 2K - 27% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 180 Β· π 2.1K Β· π₯ 88 Β· π¦ 85K Β· π 2K - 27% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 5.5M / month Β· π¦ 1.6K Β· β±οΈ 14.04.2025):
+- [PyPi](https://pypi.org/project/dash) (π₯ 5.4M / month Β· π¦ 1.6K Β· β±οΈ 24.04.2025):
```
pip install dash
```
-- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.8M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dash) (π₯ 1.8M Β· β±οΈ 27.04.2025):
```
conda install -c conda-forge dash
```
Plotly (π₯46 Β· β 17K) - The interactive graphing library for Python. MIT
-- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.6K Β· π₯ 160 Β· π¦ 410K Β· π 3.2K - 20% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.6K Β· π₯ 190 Β· π¦ 420K Β· π 3.2K - 20% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 23M / month Β· π¦ 7.8K Β· β±οΈ 31.03.2025):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 23M / month Β· π¦ 8.1K Β· β±οΈ 02.05.2025):
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 9.2M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 9.4M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 57K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 54K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
Bokeh (π₯45 Β· β 20K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 710 Β· π 4.2K Β· π¦ 100K Β· π 7.9K - 10% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 710 Β· π 4.2K Β· π¦ 100K Β· π 8K - 10% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.7M / month Β· π¦ 1.9K Β· β±οΈ 28.03.2025):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 3.4M / month Β· π¦ 1.9K Β· β±οΈ 28.03.2025):
```
pip install bokeh
```
@@ -781,25 +770,25 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge bokeh
```
Seaborn (π₯43 Β· β 13K) - Statistical data visualization in Python. BSD-3
+Seaborn (π₯42 Β· β 13K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 470 Β· π¦ 630K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 470 Β· π¦ 650K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 25M / month Β· π¦ 11K Β· β±οΈ 25.01.2024):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 24M / month Β· π¦ 11K Β· β±οΈ 25.01.2024):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 12M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 13M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge seaborn
```
Altair (π₯42 Β· β 9.7K) - Declarative visualization library for Python. BSD-3
+Altair (π₯41 Β· β 9.8K) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 180 Β· π 800 Β· π₯ 230 Β· π¦ 220K Β· π 2.1K - 6% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 180 Β· π 800 Β· π₯ 230 Β· π¦ 230K Β· π 2.1K - 6% open Β· β±οΈ 22.04.2025):
```
git clone https://github.com/altair-viz/altair
@@ -813,42 +802,42 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge altair
```
FiftyOne (π₯39 Β· β 9.4K) - Visualize, create, and debug image and video datasets.. Apache-2 
+FiftyOne (π₯39 Β· β 9.5K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 150 Β· π 620 Β· π¦ 930 Β· π 1.7K - 33% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 150 Β· π 620 Β· π¦ 950 Β· π 1.7K - 34% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 150K / month Β· π¦ 26 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 120K / month Β· π¦ 27 Β· β±οΈ 08.05.2025):
```
pip install fiftyone
```
PyVista (π₯39 Β· β 3K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT
+PyVista (π₯39 Β· β 3.1K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 170 Β· π 550 Β· π₯ 890 Β· π¦ 4.6K Β· π 1.9K - 36% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 180 Β· π 560 Β· π₯ 890 Β· π¦ 4.7K Β· π 1.9K - 36% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/pyvista/pyvista
```
-- [PyPi](https://pypi.org/project/pyvista) (π₯ 600K / month Β· π¦ 690 Β· β±οΈ 19.04.2025):
+- [PyPi](https://pypi.org/project/pyvista) (π₯ 590K / month Β· π¦ 690 Β· β±οΈ 19.04.2025):
```
pip install pyvista
```
-- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 670K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pyvista) (π₯ 680K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pyvista
```
pandas-profiling (π₯38 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 140 Β· π 1.7K Β· π₯ 310 Β· π¦ 6.2K Β· π 840 - 29% open Β· β±οΈ 26.03.2025):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 140 Β· π 1.7K Β· π₯ 320 Β· π¦ 6.4K Β· π 840 - 30% open Β· β±οΈ 26.03.2025):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 370K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 360K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
@@ -857,62 +846,62 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pandas-profiling
```
HoloViews (π₯38 Β· β 2.8K Β· π) - With Holoviews, your data visualizes itself. BSD-3
+HoloViews (π₯38 Β· β 2.8K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 410 Β· π¦ 15K Β· π 3.4K - 32% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 410 Β· π¦ 16K Β· π 3.4K - 32% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 510K / month Β· π¦ 430 Β· β±οΈ 31.03.2025):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 490K / month Β· π¦ 430 Β· β±οΈ 31.03.2025):
```
pip install holoviews
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 2M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 2.1M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 220 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 230 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
```
npm install @pyviz/jupyterlab_pyviz
```
PyQtGraph (π₯37 Β· β 4.1K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
+pyecharts (π₯37 Β· β 15K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 12K Β· π 1.3K - 32% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 73 Β· π¦ 5.3K Β· π 1.9K - 0% open Β· β±οΈ 26.01.2025):
```
- git clone https://github.com/pyqtgraph/pyqtgraph
- ```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 390K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
- ```
- pip install pyqtgraph
+ git clone https://github.com/pyecharts/pyecharts
```
-- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 680K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 210K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
```
- conda install -c conda-forge pyqtgraph
+ pip install pyecharts
```
pyecharts (π₯36 Β· β 15K) - Python Echarts Plotting Library. MIT
+PyQtGraph (π₯37 Β· β 4.1K) - 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₯ 73 Β· π¦ 5.3K Β· π 1.9K - 0% open Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 300 Β· π 1.1K Β· π¦ 12K Β· π 1.3K - 32% open Β· β±οΈ 08.04.2025):
```
- git clone https://github.com/pyecharts/pyecharts
+ git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 200K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 380K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
- pip install pyecharts
+ pip install pyqtgraph
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (π₯ 690K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge pyqtgraph
```
plotnine (π₯36 Β· β 4.2K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 12K Β· π 710 - 10% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 12K Β· π 720 - 10% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.3M / month Β· π¦ 370 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.4M / month Β· π¦ 370 Β· β±οΈ 23.04.2025):
```
pip install plotnine
```
@@ -923,12 +912,12 @@ _General-purpose and task-specific data visualization libraries._
Graphviz (π₯36 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 88K Β· π 190 - 6% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 89K Β· π 190 - 6% open Β· β±οΈ 13.05.2024):
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 18M / month Β· π¦ 2.9K Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 21M / month Β· π¦ 2.9K Β· β±οΈ 21.03.2024):
```
pip install graphviz
```
@@ -937,146 +926,146 @@ _General-purpose and task-specific data visualization libraries._
conda install -c anaconda python-graphviz
```
VisPy (π₯35 Β· β 3.4K Β· π) - High-performance interactive 2D/3D data visualization library. BSD-3
+VisPy (π₯35 Β· β 3.4K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 2K Β· π 1.5K - 25% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 2K Β· π 1.5K - 25% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 150K / month Β· π¦ 200 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 160K / month Β· π¦ 200 Β· β±οΈ 22.04.2025):
```
pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 790K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 800K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 23 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 19 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
npm install vispy
```
Perspective (π₯34 Β· β 9.1K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 99 Β· π 1.2K Β· π₯ 11K Β· π¦ 180 Β· π 880 - 12% open Β· β±οΈ 11.04.2025):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 100 Β· π 1.2K Β· π₯ 11K Β· π¦ 180 Β· π 880 - 12% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 20K / month Β· π¦ 30 Β· β±οΈ 11.04.2025):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 21K / month Β· π¦ 30 Β· β±οΈ 01.05.2025):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 2M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 2M Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 680 / month Β· π¦ 6 Β· β±οΈ 11.04.2025):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 500 / month Β· π¦ 6 Β· β±οΈ 01.05.2025):
```
npm install @finos/perspective-jupyterlab
```
datashader (π₯34 Β· β 3.4K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 62 Β· π 370 Β· π¦ 5.9K Β· π 600 - 23% open Β· β±οΈ 10.04.2025):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 62 Β· π 370 Β· π¦ 6K Β· π 600 - 23% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/holoviz/datashader
```
-- [PyPi](https://pypi.org/project/datashader) (π₯ 190K / month Β· π¦ 240 Β· β±οΈ 10.04.2025):
+- [PyPi](https://pypi.org/project/datashader) (π₯ 190K / month Β· π¦ 250 Β· β±οΈ 08.05.2025):
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.4M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 1.4M Β· β±οΈ 08.05.2025):
```
conda install -c conda-forge datashader
```
cartopy (π₯34 Β· β 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 380 Β· π¦ 7.3K Β· π 1.3K - 24% open Β· β±οΈ 17.04.2025):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 380 Β· π¦ 7.4K Β· π 1.3K - 24% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 550K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 530K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
```
pip install cartopy
```
-- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.7M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/cartopy) (π₯ 4.8M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge cartopy
```
wordcloud (π₯33 Β· β 10K) - A little word cloud generator in Python. MIT
+UMAP (π₯33 Β· β 7.8K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 73 Β· π 2.3K Β· π¦ 21 Β· π 560 - 24% open Β· β±οΈ 12.04.2025):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 820 Β· π¦ 1 Β· π 850 - 59% open Β· β±οΈ 02.05.2025):
```
- git clone https://github.com/amueller/word_cloud
+ git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.8M / month Β· π¦ 550 Β· β±οΈ 10.11.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.5M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
```
- pip install wordcloud
+ pip install umap-learn
```
-- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 660K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 3M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge wordcloud
+ conda install -c conda-forge umap-learn
```
lets-plot (π₯33 Β· β 1.7K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 180 Β· π 680 - 23% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 180 Β· π 690 - 23% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 54K / month Β· π¦ 15 Β· β±οΈ 28.03.2025):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 49K / month Β· π¦ 15 Β· β±οΈ 28.03.2025):
```
pip install lets-plot
```
UMAP (π₯32 Β· β 7.7K) - Uniform Manifold Approximation and Projection. BSD-3
+wordcloud (π₯32 Β· β 10K) - A little word cloud generator in Python. MIT
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 820 Β· π¦ 1 Β· π 850 - 59% open Β· β±οΈ 28.02.2025):
+- [GitHub](https://github.com/amueller/word_cloud) (π¨βπ» 73 Β· π 2.3K Β· π¦ 21 Β· π 560 - 24% open Β· β±οΈ 12.04.2025):
```
- git clone https://github.com/lmcinnes/umap
+ git clone https://github.com/amueller/word_cloud
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.6M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/wordcloud) (π₯ 1.8M / month Β· π¦ 550 Β· β±οΈ 10.11.2024):
```
- pip install umap-learn
+ pip install wordcloud
```
-- [Conda](https://anaconda.org/conda-forge/umap-learn) (π₯ 3M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/wordcloud) (π₯ 660K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge umap-learn
+ conda install -c conda-forge wordcloud
```
hvPlot (π₯32 Β· β 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3
-- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 7K Β· π 860 - 43% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 7K Β· π 880 - 43% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/holoviz/hvplot
```
-- [PyPi](https://pypi.org/project/hvplot) (π₯ 210K / month Β· π¦ 220 Β· β±οΈ 16.12.2024):
+- [PyPi](https://pypi.org/project/hvplot) (π₯ 200K / month Β· π¦ 240 Β· β±οΈ 30.04.2025):
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 750K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 760K Β· β±οΈ 01.05.2025):
```
conda install -c conda-forge hvplot
```
mpld3 (π₯31 Β· β 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
+mpld3 (π₯31 Β· β 2.4K Β· π€) - An interactive data visualization tool which brings matplotlib.. BSD-3
-- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 53 Β· π 360 Β· π¦ 7.3K 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¦ 7.4K 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₯ 310K / month Β· π¦ 150 Β· β±οΈ 23.12.2023):
```
pip install mpld3
```
@@ -1084,35 +1073,35 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 1.1K / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
+- [npm](https://www.npmjs.com/package/mpld3) (π₯ 1K / month Β· π¦ 9 Β· β±οΈ 23.12.2023):
```
npm install mpld3
```
D-Tale (π₯30 Β· β 4.9K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 420 Β· π¦ 1.4K Β· π 600 - 10% open Β· β±οΈ 20.03.2025):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 420 Β· π¦ 1.5K Β· π 600 - 10% open Β· β±οΈ 20.03.2025):
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 180K / month Β· π¦ 53 Β· β±οΈ 20.03.2025):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 170K / month Β· π¦ 53 Β· β±οΈ 20.03.2025):
```
pip install dtale
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 410K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 420K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge dtale
```
bqplot (π₯30 Β· β 3.7K) - Plotting library for IPython/Jupyter notebooks. Apache-2
+bqplot (π₯30 Β· β 3.7K Β· π€) - Plotting library for IPython/Jupyter notebooks. Apache-2
- [GitHub](https://github.com/bqplot/bqplot) (π¨βπ» 65 Β· π 470 Β· π¦ 61 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₯ 180K / month Β· π¦ 110 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 200K / month Β· π¦ 110 Β· β±οΈ 24.12.2024):
```
pip install bqplot
```
@@ -1120,11 +1109,23 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 1.9K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
```
npm install bqplot
```
HyperTools (π₯27 Β· β 1.8K Β· π) - A Python toolbox for gaining geometric insights into high-.. MIT
+
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 23 Β· π 160 Β· π₯ 71 Β· π¦ 500 Β· π 200 - 34% open Β· β±οΈ 24.04.2025):
+
+ ```
+ git clone https://github.com/ContextLab/hypertools
+ ```
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 610 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+ ```
+ pip install hypertools
+ ```
+AutoViz (π₯27 Β· β 1.8K Β· π€) - Automatically Visualize any dataset, any size with a single line.. Apache-2
- [GitHub](https://github.com/AutoViML/AutoViz) (π¨βπ» 17 Β· π 200 Β· π¦ 860 Β· π 98 - 2% open Β· β±οΈ 10.06.2024):
@@ -1136,23 +1137,23 @@ _General-purpose and task-specific data visualization libraries._
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 83K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 84K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge autoviz
```
openTSNE (π₯27 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
+openTSNE (π₯27 Β· β 1.5K Β· π€) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 170 Β· π¦ 1K Β· π 140 - 7% open Β· β±οΈ 24.10.2024):
+- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 170 Β· π¦ 1.1K Β· π 140 - 7% open Β· β±οΈ 24.10.2024):
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 43K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 42K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
```
pip install opentsne
```
-- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 420K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/opentsne) (π₯ 430K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge opentsne
```
@@ -1173,14 +1174,14 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge plotly-resampler
```
Chartify (π₯25 Β· β 3.6K) - Python library that makes it easy for data scientists to create.. Apache-2
+Chartify (π₯25 Β· β 3.6K Β· π€) - 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¦ 82 Β· π 83 - 61% open Β· β±οΈ 16.10.2024):
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 2K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 1.7K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
```
pip install chartify
```
@@ -1191,12 +1192,12 @@ _General-purpose and task-specific data visualization libraries._
data-validation (π₯25 Β· β 770) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 170 Β· π₯ 980 Β· π 180 - 21% open Β· β±οΈ 12.03.2025):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 27 Β· π 180 Β· π₯ 980 Β· π 190 - 20% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 140K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 130K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
```
pip install tensorflow-data-validation
```
@@ -1208,7 +1209,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 19K / 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
```
@@ -1219,12 +1220,12 @@ _General-purpose and task-specific data visualization libraries._
PyWaffle (π₯22 Β· β 600 Β· π€) - Make Waffle Charts in Python. MIT
-- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 510 Β· π 22 - 27% open Β· β±οΈ 16.06.2024):
+- [GitHub](https://github.com/gyli/PyWaffle) (π¨βπ» 6 Β· π 110 Β· π¦ 520 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₯ 13K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 15K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
pip install pywaffle
```
@@ -1240,7 +1241,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 17K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
+- [PyPi](https://pypi.org/project/vega) (π₯ 18K / month Β· π¦ 17 Β· β±οΈ 25.09.2024):
```
pip install vega
```
@@ -1256,68 +1257,67 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/ing-bank/popmon
```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 13K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
+- [PyPi](https://pypi.org/project/popmon) (π₯ 9.8K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
```
pip install popmon
```
animatplot (π₯20 Β· β 420 Β· π€) - A python package for animating plots build on matplotlib. MIT
+vegafusion (π₯20 Β· β 350) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 6 Β· π 38 Β· π¦ 74 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
+- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 6 Β· π 20 Β· π₯ 13K Β· π 140 - 36% open Β· β±οΈ 23.02.2025):
```
- git clone https://github.com/t-makaro/animatplot
+ git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/animatplot) (π₯ 850 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 2.3K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
- pip install animatplot
+ pip install vegafusion-jupyter
```
-- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 17K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (π₯ 430K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge animatplot
+ conda install -c conda-forge vegafusion-python-embed
+ ```
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 120 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+ ```
+ npm install vegafusion-jupyter
```
vegafusion (π₯20 Β· β 350) - Serverside scaling for Vega and Altair visualizations. BSD-3
+animatplot (π₯19 Β· β 420 Β· π€) - A python package for animating plots build on matplotlib. MIT
-- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 6 Β· π 20 Β· π₯ 12K Β· π 140 - 36% open Β· β±οΈ 23.02.2025):
+- [GitHub](https://github.com/t-makaro/animatplot) (π¨βπ» 6 Β· π 38 Β· π¦ 76 Β· π 37 - 45% open Β· β±οΈ 29.08.2024):
```
- git clone https://github.com/vegafusion/vegafusion
- ```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
- ```
- pip install vegafusion-jupyter
+ git clone https://github.com/t-makaro/animatplot
```
-- [Conda](https://anaconda.org/conda-forge/vegafusion-python-embed) (π₯ 420K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 330 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
```
- conda install -c conda-forge vegafusion-python-embed
+ pip install animatplot
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 310 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+- [Conda](https://anaconda.org/conda-forge/animatplot) (π₯ 17K Β· β±οΈ 22.04.2025):
```
- npm install vegafusion-jupyter
+ conda install -c conda-forge animatplot
```
ivis (π₯19 Β· β 330 Β· π€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 37 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 38 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):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
Show 18 hidden projects...
+Show 17 hidden projects...
- missingno (π₯30 Β· β 4.1K Β· π) - Missing data visualization module for Python. MIT
- Cufflinks (π₯28 Β· β 3.1K Β· π) - Productivity Tools for Plotly + Pandas. MIT BSD-3 BSD-3 Apache-2 MIT
-- HiPlot (π₯26 Β· β 2.8K Β· π) - HiPlot makes understanding high dimensional data easy. MIT
-- HyperTools (π₯25 Β· β 1.8K Β· π) - A Python toolbox for gaining geometric insights into high-.. MIT
+- HiPlot (π₯25 Β· β 2.8K Β· π) - HiPlot makes understanding high dimensional data easy. MIT
- PandasGUI (π₯24 Β· β 3.2K Β· π) - A GUI for Pandas DataFrames. βοΈMIT-0 BSD-3 MIT
@@ -1340,23 +1340,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯54 Β· β 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.2K Β· π 29K Β· π¦ 340K Β· π 18K - 9% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.2K Β· π 29K Β· π¦ 360K Β· π 18K - 9% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 62M / month Β· π¦ 8.4K Β· β±οΈ 14.04.2025):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 63M / month Β· π¦ 8.5K Β· β±οΈ 14.04.2025):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.7M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.8M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge transformers
```
nltk (π₯45 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 470 Β· π 2.9K Β· π¦ 380K Β· π 1.9K - 14% open Β· β±οΈ 15.03.2025):
+- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 470 Β· π 2.9K Β· π¦ 390K Β· π 1.9K - 14% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/nltk/nltk
@@ -1365,91 +1365,91 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 3.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 3.2M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge nltk
```
spaCy (π₯43 Β· β 31K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
+litellm (π₯44 Β· β 22K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.5K Β· π₯ 2.2K Β· π¦ 130K Β· π 5.7K - 3% open Β· β±οΈ 11.04.2025):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 510 Β· π 2.8K Β· π₯ 670 Β· π¦ 12K Β· π 5.6K - 25% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/explosion/spaCy
- ```
-- [PyPi](https://pypi.org/project/spacy) (π₯ 18M / month Β· π¦ 3.1K Β· β±οΈ 01.04.2025):
- ```
- pip install spacy
+ git clone https://github.com/BerriAI/litellm
```
-- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 5.8M Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 8M / month Β· π¦ 1.1K Β· β±οΈ 07.05.2025):
```
- conda install -c conda-forge spacy
+ pip install litellm
```
litellm (π₯43 Β· β 21K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+spaCy (π₯43 Β· β 32K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 490 Β· π 2.7K Β· π₯ 630 Β· π¦ 11K Β· π 5.5K - 30% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.5K Β· π₯ 2.4K Β· π¦ 130K Β· π 5.7K - 3% open Β· β±οΈ 11.04.2025):
```
- git clone https://github.com/BerriAI/litellm
+ git clone https://github.com/explosion/spaCy
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 7.4M / month Β· π¦ 1.1K Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/spacy) (π₯ 19M / month Β· π¦ 3.1K Β· β±οΈ 01.04.2025):
```
- pip install litellm
+ pip install spacy
+ ```
+- [Conda](https://anaconda.org/conda-forge/spacy) (π₯ 5.8M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge spacy
```
sentence-transformers (π₯43 Β· β 17K Β· π) - State-of-the-Art Text Embeddings. Apache-2
+sentence-transformers (π₯43 Β· β 17K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 220 Β· π 2.6K Β· π¦ 96K Β· π 2.4K - 52% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 220 Β· π 2.6K Β· π¦ 100K Β· π 2.4K - 52% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 8.9M / month Β· π¦ 2.4K Β· β±οΈ 15.04.2025):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 9.1M / month Β· π¦ 2.4K Β· β±οΈ 15.04.2025):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 660K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 690K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sentence-transformers
```
flair (π₯40 Β· β 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 280 Β· π 2.1K Β· π¦ 3.9K Β· π 2.4K - 4% open Β· β±οΈ 31.03.2025):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 280 Β· π 2.1K Β· π¦ 4K Β· π 2.4K - 3% open Β· β±οΈ 27.04.2025):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 110K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/flair) (π₯ 94K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
```
pip install flair
```
-- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 41K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/python-flair) (π₯ 42K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge python-flair
```
Rasa (π₯39 Β· β 20K) - Open source machine learning framework to automate text- and voice-.. Apache-2
-- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.8K Β· π¦ 5.1K Β· π 6.8K - 2% open Β· β±οΈ 14.01.2025):
+- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.8K Β· π¦ 5.2K Β· π 6.8K - 2% open Β· β±οΈ 14.01.2025):
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 220K / month Β· π¦ 60 Β· β±οΈ 14.01.2025):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 180K / month Β· π¦ 60 Β· β±οΈ 14.01.2025):
```
pip install rasa
```
Tokenizers (π₯39 Β· β 9.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (π₯39 Β· β 9.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 870 Β· π₯ 74 Β· π¦ 160K Β· π 1.1K - 7% open Β· β±οΈ 18.03.2025):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 870 Β· π₯ 74 Β· π¦ 170K Β· π 1.1K - 7% open Β· β±οΈ 18.03.2025):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 51M / month Β· π¦ 1.3K Β· β±οΈ 13.03.2025):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 53M / month Β· π¦ 1.3K Β· β±οΈ 13.03.2025):
```
pip install tokenizers
```
@@ -1458,14 +1458,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge tokenizers
```
haystack (π₯38 Β· β 20K) - AI orchestration framework to build customizable, production-ready.. Apache-2
+haystack (π₯38 Β· β 21K) - AI orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 290 Β· π 2.1K Β· π¦ 1.1K Β· π 3.9K - 3% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 290 Β· π 2.1K Β· π¦ 1.1K Β· π 3.9K - 3% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 5.9K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 6.4K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
pip install haystack
```
@@ -1477,7 +1477,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.8M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.7M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
pip install gensim
```
@@ -1488,24 +1488,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ChatterBot (π₯38 Β· β 14K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3
-- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 110 Β· π 4.5K Β· π¦ 6.3K Β· π 1.7K - 8% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 110 Β· π 4.5K Β· π¦ 6.3K Β· π 1.7K - 8% open Β· β±οΈ 27.04.2025):
```
git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/chatterbot) (π₯ 32K / month Β· π¦ 18 Β· β±οΈ 05.04.2025):
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 31K / month Β· π¦ 18 Β· β±οΈ 05.04.2025):
```
pip install chatterbot
```
NeMo (π₯38 Β· β 14K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 410 Β· π 2.8K Β· π₯ 420K Β· π¦ 21 Β· π 2.6K - 6% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 420 Β· π 2.8K Β· π₯ 360K Β· π¦ 21 Β· π 2.7K - 6% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 300K / month Β· π¦ 14 Β· β±οΈ 21.04.2025):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 240K / month Β· π¦ 14 Β· β±οΈ 21.04.2025):
```
pip install nemo-toolkit
```
@@ -1528,12 +1528,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TextBlob (π₯38 Β· β 9.3K) - 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¦ 55K Β· π 280 - 34% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 130 Β· π¦ 56K Β· π 310 - 32% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/sloria/TextBlob
```
-- [PyPi](https://pypi.org/project/textblob) (π₯ 1.3M / month Β· π¦ 400 Β· β±οΈ 13.01.2025):
+- [PyPi](https://pypi.org/project/textblob) (π₯ 1.2M / month Β· π¦ 400 Β· β±οΈ 13.01.2025):
```
pip install textblob
```
@@ -1542,14 +1542,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge textblob
```
fairseq (π₯37 Β· β 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
+fairseq (π₯37 Β· β 31K Β· π€) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT
- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 430 Β· π 6.5K Β· π₯ 400 Β· π¦ 4.2K Β· π 4.4K - 30% open Β· β±οΈ 18.10.2024):
```
git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 94K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 91K / month Β· π¦ 120 Β· β±οΈ 27.06.2022):
```
pip install fairseq
```
@@ -1558,41 +1558,41 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge fairseq
```
TensorFlow Text (π₯36 Β· β 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2
+spark-nlp (π₯36 Β· β 4K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 180 Β· π 350 Β· π¦ 9.1K Β· π 370 - 52% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 720 Β· π¦ 590 Β· π 910 - 2% open Β· β±οΈ 28.04.2025):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7M / month Β· π¦ 230 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.2M / month Β· π¦ 37 Β· β±οΈ 28.04.2025):
```
- pip install tensorflow-text
+ pip install spark-nlp
```
spark-nlp (π₯35 Β· β 4K) - State of the Art Natural Language Processing. Apache-2
+TensorFlow Text (π₯36 Β· β 1.3K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 720 Β· π¦ 590 Β· π 930 - 5% open Β· β±οΈ 20.02.2025):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 180 Β· π 350 Β· π¦ 9.3K Β· π 370 - 52% open Β· β±οΈ 24.03.2025):
```
- git clone https://github.com/JohnSnowLabs/spark-nlp
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.2M / month Β· π¦ 37 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.6M / month Β· π¦ 230 Β· β±οΈ 04.04.2025):
```
- pip install spark-nlp
+ pip install tensorflow-text
```
qdrant (π₯34 Β· β 23K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.6K Β· π₯ 380K Β· π¦ 120 Β· π 1.5K - 23% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.6K Β· π₯ 390K Β· π¦ 120 Β· π 1.5K - 23% open Β· β±οΈ 25.04.2025):
```
git clone https://github.com/qdrant/qdrant
```
stanza (π₯33 Β· β 7.4K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
+stanza (π₯33 Β· β 7.5K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2
-- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 69 Β· π 900 Β· π¦ 3.8K Β· π 920 - 10% open Β· β±οΈ 24.12.2024):
+- [GitHub](https://github.com/stanfordnlp/stanza) (π¨βπ» 68 Β· π 900 Β· π¦ 3.8K Β· π 920 - 10% open Β· β±οΈ 24.12.2024):
```
git clone https://github.com/stanfordnlp/stanza
@@ -1601,7 +1601,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install stanza
```
-- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 8.6K Β· β±οΈ 25.03.2025):
+- [Conda](https://anaconda.org/stanfordnlp/stanza) (π₯ 8.7K Β· β±οΈ 25.03.2025):
```
conda install -c stanfordnlp stanza
```
@@ -1613,14 +1613,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 13K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 15K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
```
pip install OpenNMT-py
```
jellyfish (π₯33 Β· β 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 34 Β· π 160 Β· π¦ 14K Β· π 140 - 2% open Β· β±οΈ 31.03.2025):
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 34 Β· π 160 Β· π¦ 14K Β· π 140 - 3% open Β· β±οΈ 31.03.2025):
```
git clone https://github.com/jamesturk/jellyfish
@@ -1629,37 +1629,53 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install jellyfish
```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 1.3M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 1.4M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge jellyfish
```
Opik (π₯32 Β· β 6.8K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
+snowballstemmer (π₯33 Β· β 790) - Snowball compiler and stemming algorithms. BSD-3
+
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 35 Β· π 180 Β· π¦ 10 Β· π 110 - 18% open Β· β±οΈ 08.05.2025):
+
+ ```
+ git clone https://github.com/snowballstem/snowball
+ ```
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 20M / month Β· π¦ 550 Β· β±οΈ 08.05.2025):
+ ```
+ pip install snowballstemmer
+ ```
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.7M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge snowballstemmer
+ ```
+Opik (π₯32 Β· β 7.3K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
-- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 50 Β· π 490 Β· π₯ 12 Β· π¦ 6 Β· π 260 - 29% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 50 Β· π 510 Β· π₯ 12 Β· π¦ 6 Β· π 280 - 27% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/opik) (π₯ 210K / month Β· π¦ 10 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/opik) (π₯ 250K / month Β· π¦ 10 Β· β±οΈ 07.05.2025):
```
pip install opik
```
rubrix (π₯32 Β· β 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
+ftfy (π₯32 Β· β 3.9K Β· π€) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 110 Β· π 420 Β· π¦ 3K Β· π 2.2K - 2% open Β· β±οΈ 10.03.2025):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 22 Β· π 120 Β· π₯ 73 Β· π¦ 30K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
```
- git clone https://github.com/recognai/rubrix
+ git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 3.6K / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 6.3M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
```
- pip install rubrix
+ pip install ftfy
```
-- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 44K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 330K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge rubrix
+ conda install -c conda-forge ftfy
```
torchtext (π₯32 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
@@ -1669,27 +1685,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/pytorch/text
```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 840K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 710K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
```
pip install torchtext
```
snowballstemmer (π₯32 Β· β 780) - Snowball compiler and stemming algorithms. BSD-3
-
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 35 Β· π 170 Β· π¦ 10 Β· π 110 - 22% open Β· β±οΈ 24.04.2025):
-
- ```
- git clone https://github.com/snowballstem/snowball
- ```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 19M / month Β· π¦ 450 Β· β±οΈ 16.11.2021):
- ```
- pip install snowballstemmer
- ```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.6M Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge snowballstemmer
- ```
-DeepPavlov (π₯31 Β· β 6.9K) - An open source library for deep learning end-to-end dialog.. Apache-2
- [GitHub](https://github.com/deeppavlov/DeepPavlov) (π¨βπ» 78 Β· π 1.2K Β· π¦ 430 Β· π 640 - 4% open Β· β±οΈ 26.11.2024):
@@ -1697,25 +1697,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/deepmipt/DeepPavlov
```
-- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
+- [PyPi](https://pypi.org/project/deeppavlov) (π₯ 16K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
pip install deeppavlov
```
ftfy (π₯31 Β· β 3.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
+rubrix (π₯31 Β· β 4.5K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 59 Β· π¦ 30K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 110 Β· π 430 Β· π¦ 3K Β· π 2.2K - 2% open Β· β±οΈ 10.03.2025):
```
- git clone https://github.com/rspeer/python-ftfy
+ git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 6M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 3.7K / month Β· β±οΈ 24.10.2022):
```
- pip install ftfy
+ pip install rubrix
```
-- [Conda](https://anaconda.org/conda-forge/ftfy) (π₯ 320K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/rubrix) (π₯ 45K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge ftfy
+ conda install -c conda-forge rubrix
```
Dedupe (π₯30 Β· β 4.3K) - A python library for accurate and scalable fuzzy matching, record.. MIT
@@ -1725,7 +1725,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/dedupeio/dedupe
```
-- [PyPi](https://pypi.org/project/dedupe) (π₯ 92K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 81K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
pip install dedupe
```
@@ -1736,12 +1736,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Sumy (π₯30 Β· β 3.6K Β· π€) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 3.9K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 530 Β· π¦ 4K Β· π 120 - 18% open Β· β±οΈ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 120K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 84K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
@@ -1761,14 +1761,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 110K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 120K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge spacy-transformers
```
TextDistance (π₯28 Β· β 3.5K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT
-- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 18 Β· π 250 Β· π₯ 1.1K Β· π¦ 8.4K Β· β±οΈ 18.04.2025):
+- [GitHub](https://github.com/life4/textdistance) (π¨βπ» 18 Β· π 250 Β· π₯ 1.1K Β· π¦ 8.5K Β· β±οΈ 18.04.2025):
```
git clone https://github.com/life4/textdistance
@@ -1777,7 +1777,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 800K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 810K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge textdistance
```
@@ -1789,21 +1789,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 39K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 41K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
```
pip install scispacy
```
english-words (π₯27 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
+CLTK (π₯28 Β· β 850) - The Classical Language Toolkit. MIT
-- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 34 Β· π 1.9K Β· π¦ 2 Β· π 160 - 74% open Β· β±οΈ 06.01.2025):
+- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 130 Β· π¦ 300 Β· π 580 - 6% open Β· β±οΈ 04.05.2025):
```
- git clone https://github.com/dwyl/english-words
+ git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/english-words) (π₯ 63K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 5.8K / month Β· π¦ 17 Β· β±οΈ 04.05.2025):
```
- pip install english-words
+ pip install cltk
```
PyTextRank (π₯27 Β· β 2.2K Β· π€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
@@ -1813,43 +1813,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 73K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 72K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
CLTK (π₯27 Β· β 850) - The Classical Language Toolkit. MIT
+english-words (π₯26 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/cltk/cltk) (π¨βπ» 120 Β· π 330 Β· π₯ 130 Β· π¦ 300 Β· π 580 - 6% open Β· β±οΈ 01.12.2024):
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 34 Β· π 1.9K Β· π¦ 2 Β· π 160 - 74% open Β· β±οΈ 06.01.2025):
```
- git clone https://github.com/cltk/cltk
+ git clone https://github.com/dwyl/english-words
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 7K / month Β· π¦ 17 Β· β±οΈ 01.12.2024):
+- [PyPi](https://pypi.org/project/english-words) (π₯ 60K / month Β· π¦ 14 Β· β±οΈ 24.05.2023):
```
- pip install cltk
+ pip install english-words
```
DeepKE (π₯26 Β· β 3.9K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 33 Β· π 710 Β· π¦ 24 Β· π 610 - 1% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 32 Β· π 710 Β· π¦ 24 Β· π 610 - 1% open Β· β±οΈ 22.04.2025):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 2K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 1.7K / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
scattertext (π₯26 Β· β 2.3K Β· π€) - Beautiful visualizations of how language differs among.. Apache-2
+scattertext (π₯25 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¦ 660 Β· π 100 - 22% open Β· β±οΈ 23.09.2024):
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 290 Β· π¦ 660 Β· π 100 - 22% open Β· β±οΈ 29.04.2025):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 10K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
@@ -1860,84 +1860,68 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sense2vec (π₯24 Β· β 1.6K) - Contextually-keyed word vectors. MIT
-- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 20 Β· π 240 Β· π₯ 72K Β· π¦ 460 Β· π 120 - 20% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/explosion/sense2vec) (π¨βπ» 20 Β· π 240 Β· π₯ 72K Β· π¦ 470 Β· π 120 - 20% open Β· β±οΈ 23.04.2025):
```
git clone https://github.com/explosion/sense2vec
```
-- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.7K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
+- [PyPi](https://pypi.org/project/sense2vec) (π₯ 2.1K / month Β· π¦ 13 Β· β±οΈ 19.04.2021):
```
pip install sense2vec
```
-- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 59K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sense2vec) (π₯ 60K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge sense2vec
```
detoxify (π₯24 Β· β 1K) - Trained models & code to predict toxic comments on all 3 Jigsaw Toxic.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 14 Β· π 120 Β· π₯ 1.1M Β· π¦ 870 Β· π 67 - 55% open Β· β±οΈ 07.03.2025):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 14 Β· π 120 Β· π₯ 1.1M Β· π¦ 890 Β· π 67 - 55% open Β· β±οΈ 07.03.2025):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 120K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 84K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
pip install detoxify
```
T5 (π₯23 Β· β 6.3K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 60 Β· π 760 Β· π 450 - 23% open Β· β±οΈ 27.02.2025):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 61 Β· π 760 Β· π 450 - 23% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 51K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 44K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
pip install t5
```
Sockeye (π₯22 Β· β 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2
+Sockeye (π₯22 Β· β 1.2K Β· π€) - Sequence-to-sequence framework with a focus on Neural.. 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):
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 2.8K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 2.6K / month Β· β±οΈ 03.03.2023):
```
pip install sockeye
```
finetune (π₯22 Β· β 710) - Scikit-learn style model finetuning for NLP. MPL-2.0
-- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 24 Β· π 78 Β· π¦ 14 Β· π 140 - 15% open Β· β±οΈ 31.03.2025):
+- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 24 Β· π 78 Β· π¦ 15 Β· π 140 - 15% open Β· β±οΈ 31.03.2025):
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 750 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 670 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
small-text (π₯22 Β· β 610) - Active Learning for Text Classification in Python. MIT
-
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 70 Β· π¦ 34 Β· π 66 - 27% open Β· β±οΈ 06.04.2025):
-
- ```
- git clone https://github.com/webis-de/small-text
- ```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 1.3K / month Β· β±οΈ 06.04.2025):
- ```
- pip install small-text
- ```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 14K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge small-text
- ```
-happy-transformer (π₯22 Β· β 530) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 68 Β· π¦ 320 Β· π 130 - 16% open Β· β±οΈ 22.03.2025):
@@ -1945,7 +1929,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 3.1K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.9K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
@@ -1957,36 +1941,52 @@ _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₯ 2.5K / month Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 2.6K / month Β· β±οΈ 19.08.2024):
```
pip install fast-bert
```
UForm (π₯21 Β· β 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 19 Β· π 64 Β· π₯ 600 Β· π¦ 34 Β· π 34 - 35% open Β· β±οΈ 03.01.2025):
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 19 Β· π 66 Β· π₯ 600 Β· π¦ 34 Β· π 35 - 37% open Β· β±οΈ 03.01.2025):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
+- [PyPi](https://pypi.org/project/uform) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
```
pip install uform
```
VizSeq (π₯16 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+small-text (π₯21 Β· β 610) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 12 Β· π 16 - 43% open Β· β±οΈ 07.03.2025):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 70 Β· π¦ 34 Β· π 66 - 27% open Β· β±οΈ 06.04.2025):
```
- git clone https://github.com/facebookresearch/vizseq
+ git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 290 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 1.2K / month Β· β±οΈ 06.04.2025):
```
- pip install vizseq
+ pip install small-text
```
-Show 56 hidden projects...
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 15K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge small-text
+ ```
+VizSeq (π₯16 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
+
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 13 Β· π 16 - 43% open Β· β±οΈ 07.03.2025):
+
+ ```
+ git clone https://github.com/facebookresearch/vizseq
+ ```
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 280 / month Β· β±οΈ 07.08.2020):
+ ```
+ pip install vizseq
+ ```
+Show 56 hidden projects...
- AllenNLP (π₯37 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 MIT
@@ -2000,10 +2000,10 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- GluonNLP (π₯28 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 βUnlicensed
- flashtext (π₯27 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
+- underthesea (π₯27 Β· β 1.5K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
- pySBD (π₯27 Β· β 850 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- neuralcoref (π₯26 Β· β 2.9K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
-- underthesea (π₯26 Β· β 1.5K) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
- PyText (π₯25 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 Apache-2
- pytorch-nlp (π₯25 Β· β 2.2K Β· π) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 Apache-2
- Kashgari (π₯24 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 Apache-2 MIT
+- YouTokenToMe (π₯24 Β· β 970 Β· π) - Unsupervised text tokenizer focused on computational efficiency. MIT
- whoosh (π₯24 Β· β 620 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
-- Texar (π₯23 Β· β 2.4K Β· π) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 MIT
- gpt-2-simple (π₯22 Β· β 3.4K Β· π) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT 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 BSD-3
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT MIT
- DeepMatcher (π₯20 Β· β 5.2K Β· π) - Python package for performing Entity and Text Matching using.. BSD-3
- lightseq (π₯20 Β· β 3.3K Β· π) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
-- pyfasttext (π₯20 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
+- textpipe (π₯20 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- Camphr (π₯19 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
- numerizer (π₯19 Β· β 230 Β· π€) - A Python module to convert natural language numerics into ints and.. MIT
+- pyfasttext (π₯19 Β· β 230 Β· π) - Yet another Python binding for fastText. 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 580 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- textaugment (π₯18 Β· β 420 Β· π) - TextAugment: Text Augmentation Library. MIT
+- skift (π₯17 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
- TextBox (π₯16 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
- Translate (π₯16 Β· β 830 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT MIT
- ONNX-T5 (π₯15 Β· β 250 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. 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 spacy
+- spacy-dbpedia-spotlight (π₯13 Β· β 110 Β· π) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2055,7 +2055,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 13K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.3K Β· π¦ 2.2M Β· π 3.3K - 3% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.3K Β· π¦ 2.3M Β· π 3.3K - 3% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/python-pillow/Pillow
@@ -2064,14 +2064,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 53M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 54M Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge pillow
```
torchvision (π₯42 Β· β 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 640 Β· π 7K Β· π₯ 40K Β· π¦ 21 Β· π 3.7K - 29% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 640 Β· π 7K Β· π₯ 41K Β· π¦ 21 Β· π 3.7K - 29% open Β· β±οΈ 23.04.2025):
```
git clone https://github.com/pytorch/vision
@@ -2085,46 +2085,46 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge torchvision
```
PyTorch Image Models (π₯41 Β· β 34K Β· π) - The largest collection of PyTorch image encoders /.. Apache-2
+PyTorch Image Models (π₯41 Β· β 34K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.9K Β· π₯ 7.7M Β· π¦ 54K Β· π 970 - 5% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.9K Β· π₯ 7.7M Β· π¦ 56K Β· π 970 - 5% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 6.9M / month Β· π¦ 1.1K Β· β±οΈ 23.02.2025):
+- [PyPi](https://pypi.org/project/timm) (π₯ 7.4M / month Β· π¦ 1.1K Β· β±οΈ 23.02.2025):
```
pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 370K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 380K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge timm
```
Albumentations (π₯41 Β· β 15K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 170 Β· π 1.7K Β· π¦ 36K Β· π 1.2K - 18% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 170 Β· π 1.7K Β· π¦ 37K Β· π 1.2K - 18% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 6.6M / month Β· π¦ 660 Β· β±οΈ 28.02.2025):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 6.4M / month Β· π¦ 700 Β· β±οΈ 29.04.2025):
```
pip install albumentations
```
-- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 270K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/albumentations) (π₯ 280K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge albumentations
```
MoviePy (π₯41 Β· β 13K) - Video editing with Python. MIT
+MoviePy (π₯40 Β· β 13K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.7K Β· π¦ 60K Β· π 2K - 23% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.7K Β· π¦ 62K Β· π 2K - 23% open Β· β±οΈ 06.02.2025):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 3M / month Β· π¦ 1K Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 3.1M / month Β· π¦ 1K Β· β±οΈ 10.01.2025):
```
pip install moviepy
```
@@ -2135,36 +2135,36 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (π₯39 Β· β 19K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 87 Β· π 2.5K Β· π¦ 7K Β· π 1.2K - 0% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 88 Β· π 2.6K Β· π¦ 7.4K Β· π 1.2K - 0% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 660K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 630K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
pip install deepface
```
InsightFace (π₯38 Β· β 25K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 66 Β· π 5.5K Β· π₯ 7.6M Β· π¦ 4K Β· π 2.6K - 45% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 66 Β· π 5.5K Β· π₯ 7.8M Β· π¦ 4.2K Β· π 2.6K - 45% open Β· β±οΈ 23.04.2025):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 240K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 250K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
```
pip install insightface
```
Kornia (π₯37 Β· β 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 280 Β· π 980 Β· π₯ 1.8K Β· π¦ 15K Β· π 970 - 30% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 290 Β· π 990 Β· π₯ 1.9K Β· π¦ 16K Β· π 970 - 30% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 2.4M / month Β· π¦ 310 Β· β±οΈ 11.01.2025):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 2.6M / month Β· π¦ 310 Β· β±οΈ 08.05.2025):
```
pip install kornia
```
@@ -2173,79 +2173,79 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge kornia
```
imageio (π₯37 Β· β 1.6K) - Python library for reading and writing image data. BSD-2
+opencv-python (π₯35 Β· β 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 310 Β· π₯ 1.6K Β· π¦ 170K Β· π 610 - 16% open Β· β±οΈ 21.02.2025):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 53 Β· π 890 Β· π¦ 570K Β· π 860 - 17% open Β· β±οΈ 16.01.2025):
```
- git clone https://github.com/imageio/imageio
- ```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 26M / month Β· π¦ 2.6K Β· β±οΈ 20.01.2025):
- ```
- pip install imageio
+ git clone https://github.com/opencv/opencv-python
```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.8M Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 17M / month Β· π¦ 13K Β· β±οΈ 16.01.2025):
```
- conda install -c conda-forge imageio
+ pip install opencv-python
```
opencv-python (π₯35 Β· β 4.8K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+detectron2 (π₯34 Β· β 32K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 53 Β· π 870 Β· π¦ 560K Β· π 840 - 16% open Β· β±οΈ 16.01.2025):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 280 Β· π 7.5K Β· π¦ 2.4K Β· π 3.6K - 14% open Β· β±οΈ 24.04.2025):
```
- git clone https://github.com/opencv/opencv-python
+ git clone https://github.com/facebookresearch/detectron2
```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 17M / month Β· π¦ 12K Β· β±οΈ 16.01.2025):
+- [PyPi](https://pypi.org/project/detectron2) (π¦ 13 Β· β±οΈ 06.02.2020):
```
- pip install opencv-python
+ pip install detectron2
+ ```
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 670K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge detectron2
```
Wand (π₯34 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
+imageio (π₯34 Β· β 1.6K Β· π) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 52K Β· π¦ 21K Β· π 430 - 6% open Β· β±οΈ 01.04.2025):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 310 Β· π₯ 1.6K Β· π 610 - 16% open Β· β±οΈ 21.02.2025):
```
- git clone https://github.com/emcconville/wand
+ git clone https://github.com/imageio/imageio
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 1.1M / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
+- [PyPi](https://pypi.org/project/imageio) (π₯ 26M / month Β· π¦ 2.6K Β· β±οΈ 20.01.2025):
```
- pip install wand
+ pip install imageio
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 130K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.8M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge wand
+ conda install -c conda-forge imageio
```
detectron2 (π₯33 Β· β 32K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
+Wand (π₯33 Β· β 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 280 Β· π 7.5K Β· π¦ 2.4K Β· π 3.6K - 14% open Β· β±οΈ 13.04.2025):
+- [GitHub](https://github.com/emcconville/wand) (π¨βπ» 110 Β· π 200 Β· π₯ 52K Β· π¦ 21K Β· π 430 - 6% open Β· β±οΈ 01.04.2025):
```
- git clone https://github.com/facebookresearch/detectron2
+ git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/detectron2) (π¦ 13 Β· β±οΈ 06.02.2020):
+- [PyPi](https://pypi.org/project/wand) (π₯ 1.1M / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
```
- pip install detectron2
+ pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 660K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 140K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge detectron2
+ conda install -c conda-forge wand
```
PaddleSeg (π₯33 Β· β 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+PaddleSeg (π₯32 Β· β 9K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (π¨βπ» 130 Β· π 1.7K Β· π¦ 1.4K Β· π 2.2K - 0% open Β· β±οΈ 25.12.2024):
```
git clone https://github.com/PaddlePaddle/PaddleSeg
```
-- [PyPi](https://pypi.org/project/paddleseg) (π₯ 2K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
+- [PyPi](https://pypi.org/project/paddleseg) (π₯ 1.7K / month Β· π¦ 7 Β· β±οΈ 30.11.2022):
```
pip install paddleseg
```
ImageHash (π₯31 Β· β 3.6K) - A Python Perceptual Image Hashing Module. BSD-2
+ImageHash (π₯32 Β· β 3.6K) - A Python Perceptual Image Hashing Module. BSD-2
- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 28 Β· π 340 Β· π¦ 17K Β· π 150 - 15% open Β· β±οΈ 17.04.2025):
@@ -2256,26 +2256,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 440K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 450K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge imagehash
```
lightly (π₯31 Β· β 3.4K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 65 Β· π 290 Β· π¦ 430 Β· π 600 - 12% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 65 Β· π 290 Β· π¦ 440 Β· π 600 - 12% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 56K / month Β· π¦ 20 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 58K / month Β· π¦ 20 Β· β±οΈ 22.04.2025):
```
pip install lightly
```
vit-pytorch (π₯30 Β· β 23K) - Implementation of Vision Transformer, a simple way to achieve.. MIT
-- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 23 Β· π 3.2K Β· π¦ 640 Β· π 280 - 49% open Β· β±οΈ 05.03.2025):
+- [GitHub](https://github.com/lucidrains/vit-pytorch) (π¨βπ» 23 Β· π 3.3K Β· π¦ 640 Β· π 280 - 49% open Β· β±οΈ 05.03.2025):
```
git clone https://github.com/lucidrains/vit-pytorch
@@ -2287,35 +2287,35 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PaddleDetection (π₯30 Β· β 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 190 Β· π 2.9K Β· π 5.8K - 21% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 190 Β· π 2.9K Β· π 5.6K - 17% open Β· β±οΈ 16.04.2025):
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
sahi (π₯30 Β· β 4.5K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 51 Β· π 630 Β· π₯ 36K Β· π¦ 1.8K Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 54 Β· π 640 Β· π₯ 36K Β· π¦ 1.8K Β· β±οΈ 05.05.2025):
```
git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 150K / month Β· π¦ 33 Β· β±οΈ 09.03.2025):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 140K / month Β· π¦ 35 Β· β±οΈ 05.05.2025):
```
pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 96K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 98K Β· β±οΈ 05.05.2025):
```
conda install -c conda-forge sahi
```
doctr (π₯29 Β· β 4.6K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 63 Β· π 490 Β· π₯ 5.3M Β· π 400 - 6% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 62 Β· π 490 Β· π₯ 5.3M Β· π 410 - 6% open Β· β±οΈ 29.04.2025):
```
git clone https://github.com/mindee/doctr
@@ -2332,7 +2332,7 @@ _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₯ 67K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 66K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
@@ -2344,14 +2344,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 20K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 22K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
```
pip install vidgear
```
mtcnn (π₯28 Β· β 2.3K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
+Norfair (π₯28 Β· β 2.5K Β· π) - Lightweight Python library for adding real-time multi-object.. BSD-3
+
+- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 260 Β· π₯ 350 Β· π¦ 310 Β· π 180 - 16% open Β· β±οΈ 30.04.2025):
+
+ ```
+ git clone https://github.com/tryolabs/norfair
+ ```
+- [PyPi](https://pypi.org/project/norfair) (π₯ 29K / month Β· π¦ 9 Β· β±οΈ 30.04.2025):
+ ```
+ pip install norfair
+ ```
+mtcnn (π₯28 Β· β 2.4K Β· π€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
-- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 50 Β· π¦ 8.3K 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₯ 52 Β· π¦ 8.5K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/ipazc/mtcnn
@@ -2365,21 +2377,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mtcnn
```
pyvips (π₯28 Β· β 700 Β· π) - python binding for libvips using cffi. MIT
+
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 49 Β· π¦ 1K Β· π 460 - 41% open Β· β±οΈ 28.04.2025):
+
+ ```
+ git clone https://github.com/libvips/pyvips
+ ```
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 100K / month Β· π¦ 94 Β· β±οΈ 28.04.2025):
+ ```
+ pip install pyvips
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 220K Β· β±οΈ 29.04.2025):
+ ```
+ conda install -c conda-forge pyvips
+ ```
+facenet-pytorch (π₯27 Β· β 4.8K Β· π€) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.7M Β· π¦ 3.3K Β· π 190 - 41% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 18 Β· π 940 Β· π₯ 1.7M Β· π¦ 3.4K Β· π 190 - 41% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 130K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 140K / month Β· π¦ 51 Β· β±οΈ 29.04.2024):
```
pip install facenet-pytorch
```
CellProfiler (π₯27 Β· β 970) - An open-source application for biological image analysis. BSD-3
+CellProfiler (π₯27 Β· β 980) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 150 Β· π 390 Β· π₯ 8.6K Β· π¦ 28 Β· π 3.3K - 9% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 150 Β· π 390 Β· π₯ 8.7K Β· π¦ 28 Β· π 3.3K - 9% open Β· β±οΈ 22.04.2025):
```
git clone https://github.com/CellProfiler/CellProfiler
@@ -2389,14 +2417,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install cellprofiler
```
mahotas (π₯27 Β· β 860) - Computer Vision in Python. MIT
+mahotas (π₯27 Β· β 870) - Computer Vision in Python. MIT
- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.5K Β· π 92 - 22% open Β· β±οΈ 25.02.2025):
```
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₯ 21K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
```
pip install mahotas
```
@@ -2405,56 +2433,52 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge mahotas
```
Norfair (π₯26 Β· β 2.5K Β· π€) - Lightweight Python library for adding real-time multi-object.. BSD-3
+Image Deduplicator (π₯26 Β· β 5.4K Β· π) - Finding duplicate images made easy!. Apache-2
-- [GitHub](https://github.com/tryolabs/norfair) (π¨βπ» 31 Β· π 260 Β· π₯ 340 Β· π¦ 300 Β· π 170 - 14% open Β· β±οΈ 27.07.2024):
+- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 17 Β· π 460 Β· π¦ 190 Β· π 130 - 33% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/tryolabs/norfair
+ git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 28K / month Β· π¦ 9 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 30K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
```
- pip install norfair
+ pip install imagededup
```
pyvips (π₯26 Β· β 690) - python binding for libvips using cffi. MIT
+MMF (π₯25 Β· β 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 1K Β· π 460 - 42% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 22 Β· π 690 - 21% open Β· β±οΈ 24.04.2025):
```
- git clone https://github.com/libvips/pyvips
- ```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 86K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
- ```
- pip install pyvips
+ git clone https://github.com/facebookresearch/mmf
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 210K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 760 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
- conda install -c conda-forge pyvips
+ pip install mmf
```
MMF (π₯25 Β· β 5.6K) - A modular framework for vision & language multimodal research from.. BSD-3
+pytorchvideo (π₯25 Β· β 3.4K) - A deep learning library for video understanding research. 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 24.04.2025):
+- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 58 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 25.01.2025):
```
- git clone https://github.com/facebookresearch/mmf
+ git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 850 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 59K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
```
- pip install mmf
+ pip install pytorchvideo
```
Image Deduplicator (π₯24 Β· β 5.3K) - Finding duplicate images made easy!. Apache-2
+tensorflow-graphics (π₯25 Β· β 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 17 Β· π 460 Β· π¦ 180 Β· π 130 - 32% open Β· β±οΈ 19.03.2025):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 370 Β· π 240 - 60% open Β· β±οΈ 03.02.2025):
```
- git clone https://github.com/idealo/imagededup
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 23K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 36K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
- pip install imagededup
+ pip install tensorflow-graphics
```
segmentation_models (π₯24 Β· β 4.8K Β· π€) - Segmentation models with pretrained backbones. Keras.. MIT
@@ -2469,30 +2493,6 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install segmentation_models
```
pytorchvideo (π₯24 Β· β 3.4K) - A deep learning library for video understanding research. Apache-2
-
-- [GitHub](https://github.com/facebookresearch/pytorchvideo) (π¨βπ» 58 Β· π 410 Β· π 210 - 50% open Β· β±οΈ 25.01.2025):
-
- ```
- git clone https://github.com/facebookresearch/pytorchvideo
- ```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 58K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
- ```
- pip install pytorchvideo
- ```
-tensorflow-graphics (π₯24 Β· β 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 370 Β· π 240 - 60% open Β· β±οΈ 03.02.2025):
-
- ```
- git clone https://github.com/tensorflow/graphics
- ```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 24K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
- ```
- pip install tensorflow-graphics
- ```
-ffcv (π₯23 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¦ 69 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
@@ -2500,31 +2500,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 780 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 850 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
kubric (π₯23 Β· β 2.5K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 31 Β· π 240 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 18.03.2025):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 32 Β· π 240 Β· π¦ 7 Β· π 190 - 33% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 22K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 21K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
icevision (π₯22 Β· β 860) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2
+icevision (π₯22 Β· β 860 Β· π€) - An Agnostic Computer Vision Framework - Pluggable to any.. 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₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 4.3K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
pip install icevision
```
@@ -2536,7 +2536,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 44 / month Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 41 / month Β· β±οΈ 15.01.2020):
```
pip install pyslowfast
```
@@ -2548,7 +2548,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/idealo/image-super-resolution
```
-- [PyPi](https://pypi.org/project/ISR) (π₯ 6.7K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
+- [PyPi](https://pypi.org/project/ISR) (π₯ 6.8K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
```
pip install ISR
```
@@ -2559,7 +2559,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
scenic (π₯17 Β· β 3.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 93 Β· π 450 Β· π 270 - 56% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 94 Β· π 450 Β· π 270 - 56% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/google-research/scenic
@@ -2568,13 +2568,13 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 26 hidden projects...
- scikit-image (π₯42 Β· β 6.2K) - Image processing in Python. βUnlicensed
-- imgaug (π₯37 Β· β 15K Β· π) - Image augmentation for machine learning experiments. MIT
+- MMDetection (π₯37 Β· β 31K Β· π) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 βοΈZlib
- Face Recognition (π₯36 Β· β 55K Β· π) - The worlds simplest facial recognition api for Python.. MIT Apache-2 MIT
- PyTorch3D (π₯32 Β· β 9.2K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed MIT
- imageai (π₯31 Β· β 8.8K Β· π) - A python library built to empower developers to build applications.. MIT
+- imutils (π₯31 Β· β 4.6K Β· π) - A series of convenience functions to make basic image processing.. MIT
- GluonCV (π₯29 Β· β 5.9K 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
@@ -2582,13 +2582,13 @@ _Libraries for image & video processing, manipulation, and augmentation as well
- Pillow-SIMD (π₯25 Β· β 2.2K Β· π€) - The friendly PIL fork. βοΈPIL
- deep-daze (π₯23 Β· β 4.4K Β· π) - Simple command line tool for text to image generation using.. MIT
- vissl (π₯23 Β· β 3.3K Β· π) - VISSL is FAIRs library of extensible, modular and scalable.. MIT BSD-3 MIT BSD-3 MIT Apache-2 MIT
- image-match (π₯20 Β· β 3K Β· π) - Quickly search over billions of images. Apache-2
- nude.py (π₯20 Β· β 930 Β· π) - Nudity detection with Python. MIT
-- solt (π₯20 Β· β 260) - Streaming over lightweight data transformations. MIT
- pycls (π₯18 Β· β 2.2K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
- Torch Points 3D (π₯17 Β· β 240 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 networkx (π₯44 Β· β 16K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 770 Β· π 3.3K Β· π₯ 110 Β· π¦ 390K Β· π 3.4K - 10% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 780 Β· π 3.3K Β· π₯ 110 Β· π¦ 400K Β· π 3.4K - 10% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/networkx/networkx
```
-- [PyPi](https://pypi.org/project/networkx) (π₯ 86M / month Β· π¦ 9.6K Β· β±οΈ 21.10.2024):
+- [PyPi](https://pypi.org/project/networkx) (π₯ 90M / month Β· π¦ 9.6K Β· β±οΈ 21.10.2024):
```
pip install networkx
```
@@ -2620,12 +2620,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (π₯40 Β· β 22K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 540 Β· π 3.8K Β· π¦ 8.9K Β· π 3.9K - 30% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 540 Β· π 3.8K Β· π¦ 9.2K Β· π 3.9K - 30% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 620K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 660K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
@@ -2634,21 +2634,21 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge pytorch_geometric
```
dgl (π₯36 Β· β 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
+dgl (π₯35 Β· β 14K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 300 Β· π 3K Β· π¦ 3.9K Β· π 2.9K - 18% open Β· β±οΈ 11.02.2025):
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 110K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 100K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
PyKEEN (π₯31 Β· β 1.8K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 43 Β· π 200 Β· π₯ 240 Β· π¦ 310 Β· π 590 - 20% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 43 Β· π 200 Β· π₯ 240 Β· π¦ 320 Β· π 590 - 20% open Β· β±οΈ 24.04.2025):
```
git clone https://github.com/pykeen/pykeen
@@ -2665,47 +2665,47 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/graphistry/pygraphistry
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 25K / month Β· π¦ 6 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 22K / month Β· π¦ 6 Β· β±οΈ 22.04.2025):
```
pip install graphistry
```
ogb (π₯29 Β· β 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
+pytorch_geometric_temporal (π₯28 Β· β 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2.5K Β· π 300 - 10% open Β· β±οΈ 09.12.2024):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 37 Β· π 390 Β· π 200 - 20% open Β· β±οΈ 24.03.2025):
```
- git clone https://github.com/snap-stanford/ogb
- ```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 37K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
- ```
- pip install ogb
+ git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 52K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 5.8K / month Β· π¦ 7 Β· β±οΈ 28.03.2025):
```
- conda install -c conda-forge ogb
+ pip install torch-geometric-temporal
```
pytorch_geometric_temporal (π₯28 Β· β 2.8K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+ogb (π₯28 Β· β 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 37 Β· π 390 Β· π 200 - 20% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/snap-stanford/ogb) (π¨βπ» 32 Β· π 400 Β· π¦ 2.5K Β· π 310 - 11% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
+ git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 28.03.2025):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 33K / month Β· π¦ 73 Β· β±οΈ 07.04.2023):
```
- pip install torch-geometric-temporal
+ pip install ogb
+ ```
+- [Conda](https://anaconda.org/conda-forge/ogb) (π₯ 52K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge ogb
```
Node2Vec (π₯25 Β· β 1.3K Β· π€) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 880 Β· π 97 - 5% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 900 Β· π 97 - 5% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 26K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 25K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
```
pip install node2vec
```
@@ -2714,25 +2714,25 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge node2vec
```
torch-cluster (π₯25 Β· β 860) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+torch-cluster (π₯25 Β· β 870) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 39 Β· π 150 Β· π 180 - 17% open Β· β±οΈ 20.04.2025):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 23K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
+- [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₯ 350K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (π₯ 360K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_cluster
```
GraphVite (π₯15 Β· β 1.2K Β· π€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
+GraphVite (π₯15 Β· β 1.3K Β· π€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
-- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 150 Β· π 110 - 46% open Β· β±οΈ 14.06.2024):
+- [GitHub](https://github.com/DeepGraphLearning/graphvite) (π¨βπ» 1 Β· π 150 Β· π 110 - 47% open Β· β±οΈ 14.06.2024):
```
git clone https://github.com/DeepGraphLearning/graphvite
@@ -2748,8 +2748,8 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- Spektral (π₯28 Β· β 2.4K Β· π) - Graph Neural Networks with Keras and Tensorflow 2. MIT Apache-2 βοΈLGPL-3.0
-- AmpliGraph (π₯26 Β· β 2.2K Β· π) - Python library for Representation Learning on Knowledge.. Apache-2 Apache-2 Apache-2 βοΈGPL-3.0
- PyTorch-BigGraph (π₯23 Β· β 3.4K Β· π) - Generate embeddings from large-scale graph-structured.. BSD-3 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
+- DIG (π₯20 Β· β 2K Β· π) - A library for graph deep learning research. βοΈGPL-3.0
- GraphGym (π₯20 Β· β 1.8K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
- deepsnap (π₯20 Β· β 560 Β· π) - Python library assists deep learning on graphs. MIT
- Sematch (π₯18 Β· β 440 Β· π) - semantic similarity framework for knowledge graph. Apache-2
@@ -2779,21 +2779,21 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
_Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
-speechbrain (π₯39 Β· β 9.7K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯39 Β· β 9.8K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.4K Β· π¦ 3.3K Β· π 1.2K - 12% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.5K Β· π¦ 3.4K Β· π 1.2K - 12% open Β· β±οΈ 26.04.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 1.3M / month Β· π¦ 79 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 1.2M / month Β· π¦ 79 Β· β±οΈ 07.04.2025):
```
pip install speechbrain
```
espnet (π₯38 Β· β 9K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯38 Β· β 9.1K) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 490 Β· π 2.2K Β· π₯ 84 Β· π¦ 440 Β· π 2.5K - 14% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 490 Β· π 2.2K Β· π₯ 84 Β· π¦ 440 Β· π 2.5K - 14% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/espnet/espnet
@@ -2805,16 +2805,16 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
SpeechRecognition (π₯35 Β· β 8.7K) - Speech recognition module for Python, supporting several.. BSD-3
-- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 54 Β· π 2.4K Β· π¦ 21 Β· π 660 - 48% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/Uberi/speech_recognition) (π¨βπ» 54 Β· π 2.4K Β· π¦ 21 Β· π 660 - 48% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.5M / month Β· π¦ 680 Β· β±οΈ 23.03.2025):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.4M / month Β· π¦ 680 Β· β±οΈ 23.03.2025):
```
pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 240K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 250K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge speechrecognition
```
@@ -2830,31 +2830,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 880K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 890K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge librosa
```
torchaudio (π₯35 Β· β 2.6K) - Data manipulation and transformation for audio signal.. BSD-2
+torchaudio (π₯35 Β· β 2.7K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 690 Β· π 1K - 27% open Β· β±οΈ 18.04.2025):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 690 Β· π 1K - 27% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 13M / month Β· π¦ 1.8K Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 13M / month Β· π¦ 1.9K Β· β±οΈ 23.04.2025):
```
pip install torchaudio
```
spleeter (π₯33 Β· β 27K) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 22 Β· π 2.9K Β· π₯ 3.9M Β· π¦ 990 Β· π 820 - 31% open Β· β±οΈ 02.04.2025):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 22 Β· π 2.9K Β· π₯ 4M Β· π¦ 1K Β· π 820 - 31% open Β· β±οΈ 02.04.2025):
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 30K / month Β· π¦ 18 Β· β±οΈ 03.04.2025):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 35K / month Β· π¦ 18 Β· β±οΈ 03.04.2025):
```
pip install spleeter
```
@@ -2870,66 +2870,66 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/magenta
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 9.4K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 8.6K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
```
pip install magenta
```
Porcupine (π₯31 Β· β 4.1K) - On-device wake word detection powered by deep learning. Apache-2
+python-soundfile (π₯32 Β· β 760 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 520 Β· π¦ 46 Β· π 570 - 0% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 38 Β· π 110 Β· π₯ 21K Β· π¦ 63K Β· π 260 - 46% open Β· β±οΈ 28.04.2025):
```
- git clone https://github.com/Picovoice/Porcupine
+ git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 20K / month Β· π¦ 38 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 5.7M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
```
- pip install pvporcupine
+ pip install soundfile
+ ```
+- [Conda](https://anaconda.org/anaconda/pysoundfile):
+ ```
+ conda install -c anaconda pysoundfile
```
audiomentations (π₯31 Β· β 2K) - A Python library for audio data augmentation. Useful for making.. MIT
+Porcupine (π₯31 Β· β 4.1K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 32 Β· π 200 Β· π¦ 750 Β· π 200 - 26% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 520 Β· π¦ 48 Β· π 570 - 0% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/iver56/audiomentations
+ git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 73K / month Β· π¦ 25 Β· β±οΈ 20.03.2025):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 21K / month Β· π¦ 38 Β· β±οΈ 05.02.2025):
```
- pip install audiomentations
+ pip install pvporcupine
```
python-soundfile (π₯29 Β· β 760) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+audiomentations (π₯31 Β· β 2K) - A Python library for audio data augmentation. Useful for making.. MIT
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 37 Β· π 110 Β· π₯ 21K Β· π¦ 61K Β· π 260 - 46% open Β· β±οΈ 25.01.2025):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 33 Β· π 200 Β· π¦ 770 Β· π 200 - 26% open Β· β±οΈ 05.05.2025):
```
- git clone https://github.com/bastibe/python-soundfile
- ```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 5.6M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
- ```
- pip install soundfile
+ git clone https://github.com/iver56/audiomentations
```
-- [Conda](https://anaconda.org/anaconda/pysoundfile):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 70K / month Β· π¦ 28 Β· β±οΈ 05.05.2025):
```
- conda install -c anaconda pysoundfile
+ pip install audiomentations
```
tinytag (π₯29 Β· β 750) - Python library for reading audio file metadata. MIT
-- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.2K Β· π 120 - 3% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/tinytag/tinytag) (π¨βπ» 27 Β· π 100 Β· π¦ 1.2K Β· π 120 - 3% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 61K / month Β· π¦ 120 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 64K / month Β· π¦ 120 Β· β±οΈ 23.04.2025):
```
pip install tinytag
```
pyAudioAnalysis (π₯28 Β· β 6K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2
-- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 610 Β· π 320 - 62% open Β· β±οΈ 28.03.2025):
+- [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (π¨βπ» 28 Β· π 1.2K Β· π¦ 620 Β· π 320 - 62% open Β· β±οΈ 28.03.2025):
```
git clone https://github.com/tyiannak/pyAudioAnalysis
@@ -2946,7 +2946,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 3.4K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 3.3K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
@@ -2958,7 +2958,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 5.3K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 4.3K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -2974,7 +2974,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/mozilla/DeepSpeech
```
-- [PyPi](https://pypi.org/project/deepspeech) (π₯ 18K / month Β· π¦ 24 Β· β±οΈ 19.12.2020):
+- [PyPi](https://pypi.org/project/deepspeech) (π₯ 13K / month Β· π¦ 24 Β· β±οΈ 19.12.2020):
```
pip install deepspeech
```
@@ -2990,7 +2990,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/adefossez/julius
```
-- [PyPi](https://pypi.org/project/julius) (π₯ 410K / month Β· π¦ 44 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/julius) (π₯ 470K / month Β· π¦ 44 Β· β±οΈ 20.09.2022):
```
pip install julius
```
@@ -2999,15 +2999,15 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
- Coqui TTS (π₯36 Β· β 40K Β· π) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 MIT
-- audioread (π₯30 Β· β 510 Β· π) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
-- Essentia (π₯29 Β· β 3K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
+- audioread (π₯30 Β· β 510 Β· π) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT
+- Essentia (π₯29 Β· β 3.1K) - C++ library for audio and music analysis, description and.. βοΈAGPL-3.0
- aubio (π₯28 Β· β 3.4K Β· π) - a library for audio and music analysis. βοΈGPL-3.0
- TTS (π₯26 Β· β 9.8K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
- python_speech_features (π₯25 Β· β 2.4K Β· π) - This library provides common speech features for ASR.. MIT
- Dejavu (π₯23 Β· β 6.5K Β· π) - Audio fingerprinting and recognition in Python. MIT
-- nnAudio (π₯23 Β· β 1.1K Β· π) - Audio processing by using pytorch 1D convolution network. MIT
+- nnAudio (π₯22 Β· β 1.1K Β· π) - Audio processing by using pytorch 1D convolution network. MIT
- kapre (π₯22 Β· β 930 Β· π) - kapre: Keras Audio Preprocessors. MIT βοΈAGPL-3.0
+- TimeSide (π₯21 Β· β 380 Β· π€) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
- Muda (π₯18 Β· β 230 Β· π) - A library for augmenting annotated audio data. ISC
- textlesslib (π₯10 Β· β 540 Β· π) - Library for Textless Spoken Language Processing. MIT pydeck (π₯43 Β· β 13K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 290 Β· π 2.1K Β· π¦ 9K Β· π 3.2K - 13% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 290 Β· π 2.1K Β· π¦ 9K Β· π 3.2K - 13% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 8.5M / month Β· π¦ 160 Β· β±οΈ 21.03.2025):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 8.7M / month Β· π¦ 160 Β· β±οΈ 21.03.2025):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 740K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 750K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 610K / month Β· π¦ 340 Β· β±οΈ 18.04.2025):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 560K / month Β· π¦ 340 Β· β±οΈ 18.04.2025):
```
npm install deck.gl
```
Shapely (π₯41 Β· β 4.1K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 170 Β· π 580 Β· π₯ 3.8K Β· π¦ 100K Β· π 1.3K - 19% open Β· β±οΈ 03.04.2025):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 170 Β· π 580 Β· π₯ 3.8K Β· π¦ 110K Β· π 1.3K - 19% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 45M / month Β· π¦ 3.9K Β· β±οΈ 03.04.2025):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 46M / month Β· π¦ 3.9K Β· β±οΈ 03.04.2025):
```
pip install shapely
```
@@ -3057,7 +3057,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (π₯39 Β· β 7.1K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 58K Β· π 1.2K - 8% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 60K Β· π 1.2K - 8% open Β· β±οΈ 22.04.2025):
```
git clone https://github.com/python-visualization/folium
@@ -3073,12 +3073,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (π₯38 Β· β 4.7K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 950 Β· π₯ 3K Β· π¦ 54K Β· π 1.7K - 25% open Β· β±οΈ 17.04.2025):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 950 Β· π₯ 3K Β· π¦ 55K Β· π 1.7K - 25% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.6M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 7.7M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
```
pip install geopandas
```
@@ -3087,7 +3087,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geopandas
```
Rasterio (π₯37 Β· β 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3
+Rasterio (π₯37 Β· β 2.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3
- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 170 Β· π 540 Β· π₯ 1K Β· π¦ 17K Β· π 1.9K - 8% open Β· β±οΈ 14.04.2025):
@@ -3105,7 +3105,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pyproj (π₯37 Β· β 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 69 Β· π 220 Β· π¦ 43K Β· π 630 - 5% open Β· β±οΈ 01.04.2025):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 71 Β· π 220 Β· π¦ 44K Β· π 630 - 5% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/pyproj4/pyproj
@@ -3121,12 +3121,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ArcGIS API (π₯36 Β· β 2K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 97 Β· π 1.1K Β· π₯ 15K Β· π¦ 940 Β· π 840 - 8% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 97 Β· π 1.1K Β· π₯ 15K Β· π¦ 950 Β· π 840 - 9% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 97K / month Β· π¦ 41 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 110K / month Β· π¦ 41 Β· β±οΈ 17.04.2025):
```
pip install arcgis
```
@@ -3137,7 +3137,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Fiona (π₯34 Β· β 1.2K) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 78 Β· π 210 Β· π¦ 25K Β· π 810 - 4% open Β· β±οΈ 20.02.2025):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 78 Β· π 210 Β· π¦ 26K Β· π 810 - 4% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/Toblerity/Fiona
@@ -3153,12 +3153,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (π₯32 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 92 Β· π 360 Β· π¦ 16K Β· π 660 - 45% open Β· β±οΈ 05.12.2024):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 92 Β· π 360 Β· π¦ 17K Β· π 660 - 45% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 210K / month Β· π¦ 280 Β· β±οΈ 22.07.2024):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 230K / month Β· π¦ 280 Β· β±οΈ 22.07.2024):
```
pip install ipyleaflet
```
@@ -3166,55 +3166,55 @@ _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₯ 3.7K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 3.9K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
PySAL (π₯31 Β· β 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
+geojson (π₯31 Β· β 960) - Python bindings and utilities for GeoJSON. BSD-3
-- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 79 Β· π 300 Β· π¦ 1.8K Β· π 660 - 3% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 20K Β· π 100 - 25% open Β· β±οΈ 21.12.2024):
```
- git clone https://github.com/pysal/pysal
+ git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 28K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 2.8M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
```
- pip install pysal
+ pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 620K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 960K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pysal
+ conda install -c conda-forge geojson
```
geojson (π₯31 Β· β 960) - Python bindings and utilities for GeoJSON. BSD-3
+PySAL (π₯30 Β· β 1.4K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3
-- [GitHub](https://github.com/jazzband/geojson) (π¨βπ» 58 Β· π 120 Β· π¦ 20K Β· π 100 - 25% open Β· β±οΈ 21.12.2024):
+- [GitHub](https://github.com/pysal/pysal) (π¨βπ» 79 Β· π 300 Β· π¦ 1.8K Β· π 660 - 3% open Β· β±οΈ 06.02.2025):
```
- git clone https://github.com/jazzband/geojson
+ git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 3M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 28K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
```
- pip install geojson
+ pip install pysal
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 950K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pysal) (π₯ 620K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge geojson
+ conda install -c conda-forge pysal
```
GeoViews (π₯28 Β· β 610) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 33 Β· π 77 Β· π¦ 1.3K Β· π 350 - 31% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 33 Β· π 77 Β· π¦ 1.3K Β· π 350 - 31% open Β· β±οΈ 30.04.2025):
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 18K / month Β· π¦ 63 Β· β±οΈ 17.12.2024):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 17K / month Β· π¦ 63 Β· β±οΈ 17.12.2024):
```
pip install geoviews
```
-- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 290K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/geoviews) (π₯ 300K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge geoviews
```
@@ -3226,19 +3226,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/mapbox/mapboxgl-jupyter
```
-- [PyPi](https://pypi.org/project/mapboxgl) (π₯ 8.5K / month Β· π¦ 12 Β· β±οΈ 02.06.2019):
+- [PyPi](https://pypi.org/project/mapboxgl) (π₯ 11K / month Β· π¦ 12 Β· β±οΈ 02.06.2019):
```
pip install mapboxgl
```
pymap3d (π₯24 Β· β 410) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2
-- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 19 Β· π 87 Β· π¦ 500 Β· π 60 - 15% open Β· β±οΈ 08.01.2025):
+- [GitHub](https://github.com/geospace-code/pymap3d) (π¨βπ» 19 Β· π 87 Β· π¦ 510 Β· π 60 - 15% open Β· β±οΈ 08.01.2025):
```
git clone https://github.com/geospace-code/pymap3d
```
-- [PyPi](https://pypi.org/project/pymap3d) (π₯ 310K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 320K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
@@ -3266,14 +3266,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
_Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
-yfinance (π₯41 Β· β 17K) - Download market data from Yahoo! Finances API. Apache-2
+yfinance (π₯42 Β· β 17K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.6K Β· π¦ 73K Β· π 1.6K - 11% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.6K Β· π¦ 76K Β· π 1.6K - 11% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 3.1M / month Β· π¦ 940 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 3.2M / month Β· π¦ 960 Β· β±οΈ 07.05.2025):
```
pip install yfinance
```
@@ -3284,12 +3284,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (π₯31 Β· β 19K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 140 Β· π 3K Β· π₯ 790 Β· π¦ 21 Β· π 960 - 25% open Β· β±οΈ 02.04.2025):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 140 Β· π 3.1K Β· π₯ 800 Β· π¦ 21 Β· π 970 - 25% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 8.4K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 8.9K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
```
pip install pyqlib
```
@@ -3305,35 +3305,35 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 80K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 83K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge bt
```
ffn (π₯29 Β· β 2.2K) - ffn - a financial function library for Python. MIT
+ffn (π₯29 Β· β 2.3K) - ffn - a financial function library for Python. MIT
-- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 36 Β· π 310 Β· π¦ 550 Β· π 130 - 16% open Β· β±οΈ 01.04.2025):
+- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 36 Β· π 320 Β· π¦ 560 Β· π 130 - 17% open Β· β±οΈ 01.04.2025):
```
git clone https://github.com/pmorissette/ffn
```
-- [PyPi](https://pypi.org/project/ffn) (π₯ 22K / month Β· π¦ 22 Β· β±οΈ 11.02.2025):
+- [PyPi](https://pypi.org/project/ffn) (π₯ 25K / month Β· π¦ 22 Β· β±οΈ 11.02.2025):
```
pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 18K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 19K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ffn
```
TensorTrade (π₯27 Β· β 5K Β· π€) - An open source reinforcement learning framework for training,.. Apache-2
+TensorTrade (π₯27 Β· β 5.1K Β· π€) - An open source reinforcement learning framework for.. Apache-2
-- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1K Β· π¦ 69 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 1.1K Β· π¦ 69 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₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 1.6K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
pip install tensortrade
```
@@ -3342,18 +3342,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge tensortrade
```
Alpha Vantage (π₯27 Β· β 4.5K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
+Alpha Vantage (π₯26 Β· β 4.5K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 750 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 750 Β· π 290 - 0% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 59K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 56K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 8.9K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 9K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge alpha_vantage
```
@@ -3365,7 +3365,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 13K / month Β· π¦ 12 Β· β±οΈ 02.02.2025):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 14K / month Β· π¦ 12 Β· β±οΈ 02.02.2025):
```
pip install stockstats
```
@@ -3377,19 +3377,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 510 / month Β· β±οΈ 10.03.2025):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 600 / month Β· β±οΈ 10.03.2025):
```
pip install finmarketpy
```
tf-quant-finance (π₯22 Β· β 4.8K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯22 Β· β 4.9K) - High-performance TensorFlow library for quantitative.. Apache-2
- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 48 Β· π 600 Β· π 63 - 55% open Β· β±οΈ 21.03.2025):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 500 / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 590 / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
@@ -3398,18 +3398,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- zipline (π₯33 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- pyfolio (π₯32 Β· β 5.9K Β· π) - Portfolio and risk analytics in Python. Apache-2
-- arch (π₯32 Β· β 1.4K) - ARCH models in Python. βUnlicensed
- ta (π₯31 Β· β 4.6K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
+- arch (π₯30 Β· β 1.4K Β· π) - ARCH models in Python. βUnlicensed
- backtrader (π₯29 Β· β 17K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
- Backtesting.py (π₯28 Β· β 6.4K) - Backtest trading strategies in Python. βοΈAGPL-3.0
- Alphalens (π₯28 Β· β 3.7K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
- IB-insync (π₯28 Β· β 3K Β· π) - Python sync/async framework for Interactive Brokers API. BSD-2
- empyrical (π₯28 Β· β 1.4K 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
+- PyAlgoTrade (π₯24 Β· β 4.5K Β· π) - Python Algorithmic Trading Library. Apache-2
- FinTA (π₯24 Β· β 2.2K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
- Crypto Signals (π₯22 Β· β 5.2K Β· π) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT
- FinQuant (π₯22 Β· β 1.5K Β· π) - A program for financial portfolio management, analysis and.. MIT
-- PyAlgoTrade (π₯20 Β· β 4.5K Β· π) - Python Algorithmic Trading Library. Apache-2
- surpriver (π₯12 Β· β 1.8K Β· π) - Find big moving stocks before they move using machine.. βοΈGPL-3.0
- pyrtfolio (π₯10 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
sktime (π₯41 Β· β 8.4K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 460 Β· π 1.5K Β· π₯ 110 Β· π¦ 4.3K Β· π 2.9K - 38% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 460 Β· π 1.5K Β· π₯ 110 Β· π¦ 4.4K Β· π 2.9K - 38% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 1M / month Β· π¦ 140 Β· β±οΈ 12.04.2025):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 990K / month Β· π¦ 140 Β· β±οΈ 12.04.2025):
```
pip install sktime
```
@@ -3437,30 +3437,30 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge sktime-all-extras
```
StatsForecast (π₯34 Β· β 4.2K) - Lightning fast forecasting with statistical and econometric.. Apache-2
+StatsForecast (π₯34 Β· β 4.3K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 51 Β· π 300 Β· π¦ 1.6K Β· π 360 - 29% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 51 Β· π 310 Β· π¦ 1.7K Β· π 360 - 29% open Β· β±οΈ 29.04.2025):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 980K / month Β· π¦ 68 Β· β±οΈ 18.02.2025):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 920K / month Β· π¦ 68 Β· β±οΈ 18.02.2025):
```
pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 170K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 180K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge statsforecast
```
Prophet (π₯33 Β· β 19K) - Tool for producing high quality forecasts for time series data that has.. MIT
+Prophet (π₯33 Β· β 19K Β· π€) - Tool for producing high quality forecasts for time series data that.. MIT
- [GitHub](https://github.com/facebook/prophet) (π¨βπ» 180 Β· π 4.5K Β· π₯ 3K Β· π¦ 21 Β· π 2.2K - 20% open Β· β±οΈ 20.10.2024):
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 240K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 230K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
@@ -3469,132 +3469,132 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge prophet
```
Darts (π₯33 Β· β 8.5K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
+Darts (π₯33 Β· β 8.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 920 Β· π 1.7K - 14% open Β· β±οΈ 20.04.2025):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 920 Β· π 1.7K - 14% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 78K / month Β· π¦ 10 Β· β±οΈ 18.04.2025):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 72K / month Β· π¦ 10 Β· β±οΈ 18.04.2025):
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 76K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 78K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.4K Β· β±οΈ 18.04.2025):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.5K Β· β±οΈ 18.04.2025):
```
docker pull unit8/darts
```
tsfresh (π₯32 Β· β 8.7K) - Automatic extraction of relevant features from time series:. MIT
+pytorch-forecasting (π₯32 Β· β 4.3K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 99 Β· π 1.2K Β· π¦ 21 Β· π 550 - 12% open Β· β±οΈ 16.02.2025):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 67 Β· π 670 Β· π¦ 590 Β· π 840 - 60% open Β· β±οΈ 30.04.2025):
```
- git clone https://github.com/blue-yonder/tsfresh
+ git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 100 Β· β±οΈ 16.02.2025):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 130K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
```
- pip install tsfresh
+ pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 77K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge tsfresh
+ conda install -c conda-forge pytorch-forecasting
```
pytorch-forecasting (π₯32 Β· β 4.3K) - Time series forecasting with PyTorch. MIT
+NeuralForecast (π₯32 Β· β 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 67 Β· π 660 Β· π¦ 570 Β· π 840 - 60% open Β· β±οΈ 18.04.2025):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 49 Β· π 400 Β· π¦ 360 Β· π 610 - 17% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/jdb78/pytorch-forecasting
+ git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 140K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 84K / month Β· π¦ 26 Β· β±οΈ 28.02.2025):
```
- pip install pytorch-forecasting
+ pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 76K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 37K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pytorch-forecasting
+ conda install -c conda-forge neuralforecast
```
STUMPY (π₯32 Β· β 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
+pmdarima (π₯32 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 41 Β· π 330 Β· π¦ 1.2K Β· π 530 - 13% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 240 Β· π¦ 12K Β· π 340 - 19% open Β· β±οΈ 07.11.2024):
```
- git clone https://github.com/TDAmeritrade/stumpy
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 300K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.5M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
```
- pip install stumpy
+ pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 1.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.3M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge stumpy
+ conda install -c conda-forge pmdarima
```
NeuralForecast (π₯32 Β· β 3.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+skforecast (π₯32 Β· β 1.3K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 50 Β· π 400 Β· π¦ 350 Β· π 610 - 17% open Β· β±οΈ 10.04.2025):
+- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 20 Β· π 160 Β· π¦ 470 Β· π 200 - 14% open Β· β±οΈ 01.05.2025):
```
- git clone https://github.com/Nixtla/neuralforecast
- ```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 70K / month Β· π¦ 26 Β· β±οΈ 28.02.2025):
- ```
- pip install neuralforecast
+ git clone https://github.com/JoaquinAmatRodrigo/skforecast
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 36K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/skforecast) (π₯ 81K / month Β· π¦ 18 Β· β±οΈ 01.05.2025):
```
- conda install -c conda-forge neuralforecast
+ pip install skforecast
```
pmdarima (π₯32 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
+tsfresh (π₯31 Β· β 8.7K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 240 Β· π¦ 12K Β· π 340 - 19% open Β· β±οΈ 07.11.2024):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 99 Β· π 1.2K Β· π¦ 21 Β· π 550 - 12% open Β· β±οΈ 16.02.2025):
```
- git clone https://github.com/alkaline-ml/pmdarima
+ git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.7M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 100 Β· β±οΈ 16.02.2025):
```
- pip install pmdarima
+ pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.3M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pmdarima
+ conda install -c conda-forge tsfresh
```
tslearn (π₯31 Β· β 3K Β· π€) - The machine learning toolkit for time series analysis in Python. BSD-2
+STUMPY (π₯31 Β· β 3.9K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 340 Β· π¦ 1.7K Β· π 340 - 41% open Β· β±οΈ 01.07.2024):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 40 Β· π 330 Β· π¦ 1.2K Β· π 530 - 13% open Β· β±οΈ 08.04.2025):
```
- git clone https://github.com/tslearn-team/tslearn
+ git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 390K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 300K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
```
- pip install tslearn
+ pip install stumpy
```
-- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.6M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/stumpy) (π₯ 1.1M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge tslearn
+ conda install -c conda-forge stumpy
```
skforecast (π₯31 Β· β 1.3K) - Time series forecasting with machine learning models. BSD-3
+tslearn (π₯31 Β· β 3K Β· π€) - The machine learning toolkit for time series analysis in Python. BSD-2
-- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 19 Β· π 160 Β· π¦ 440 Β· π 190 - 13% open Β· β±οΈ 01.04.2025):
+- [GitHub](https://github.com/tslearn-team/tslearn) (π¨βπ» 43 Β· π 340 Β· π¦ 1.8K Β· π 340 - 41% open Β· β±οΈ 01.07.2024):
```
- git clone https://github.com/JoaquinAmatRodrigo/skforecast
+ git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/skforecast) (π₯ 88K / month Β· π¦ 18 Β· β±οΈ 18.03.2025):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 360K / month Β· π¦ 79 Β· β±οΈ 12.12.2023):
```
- pip install skforecast
+ pip install tslearn
+ ```
+- [Conda](https://anaconda.org/conda-forge/tslearn) (π₯ 1.6M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge tslearn
```
GluonTS (π₯30 Β· β 4.9K) - Probabilistic time series modeling in Python. Apache-2
@@ -3604,77 +3604,81 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 910K / month Β· π¦ 36 Β· β±οΈ 08.04.2025):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 820K / month Β· π¦ 36 Β· β±οΈ 08.04.2025):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1.8K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1.9K Β· β±οΈ 22.04.2025):
```
conda install -c anaconda gluonts
```
Streamz (π₯28 Β· β 1.3K) - Real-time stream processing for python. BSD-3
+Streamz (π₯29 Β· β 1.3K) - Real-time stream processing for python. BSD-3
-- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 49 Β· π 150 Β· π¦ 540 Β· π 270 - 44% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 49 Β· π 150 Β· π¦ 550 Β· π 270 - 44% open Β· β±οΈ 22.11.2024):
```
git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 21K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 27K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
```
pip install streamz
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 2M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 2.1M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge streamz
```
NeuralProphet (π₯26 Β· β 4.1K Β· π€) - NeuralProphet: A simple forecasting package. MIT
+pyts (π₯27 Β· β 1.8K) - A Python package for time series classification. BSD-3
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 490 Β· π 560 - 11% open Β· β±οΈ 13.09.2024):
+- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 15 Β· π 170 Β· π¦ 850 Β· π 87 - 58% open Β· β±οΈ 27.04.2025):
```
- git clone https://github.com/ourownstory/neural_prophet
+ git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 82K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 110K / month Β· π¦ 45 Β· β±οΈ 18.06.2023):
```
- pip install neuralprophet
+ pip install pyts
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyts) (π₯ 32K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge pyts
```
greykite (π₯23 Β· β 1.8K Β· π) - A flexible, intuitive and fast forecasting library. BSD-2
+NeuralProphet (π₯26 Β· β 4.1K Β· π€) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 110 Β· π₯ 36 Β· π¦ 43 Β· π 110 - 10% open Β· β±οΈ 20.02.2025):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 55 Β· π 490 Β· π 560 - 11% open Β· β±οΈ 13.09.2024):
```
- git clone https://github.com/linkedin/greykite
+ git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 9.5K / month Β· β±οΈ 20.02.2025):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 85K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
- pip install greykite
+ pip install neuralprophet
```
TSFEL (π₯22 Β· β 1K) - An intuitive library to extract features from time series. BSD-3
+greykite (π₯22 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 200 Β· π 82 - 12% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 110 Β· π₯ 36 Β· π¦ 44 Β· π 110 - 10% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/fraunhoferportugal/tsfel
+ git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 8.7K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 9.1K / month Β· β±οΈ 20.02.2025):
```
- pip install tsfel
+ pip install greykite
```
pydlm (π₯20 Β· β 480 Β· π€) - A python library for Bayesian time series modeling. BSD-3
+TSFEL (π₯21 Β· β 1K Β· π€) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 39 Β· π 51 - 70% open Β· β±οΈ 07.09.2024):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 200 Β· π 82 - 12% open Β· β±οΈ 17.10.2024):
```
- git clone https://github.com/wwrechard/pydlm
+ git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 67K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 6.6K / month Β· π¦ 7 Β· β±οΈ 12.09.2024):
```
- pip install pydlm
+ pip install tsfel
```
tsflex (π₯20 Β· β 420 Β· π€) - Flexible time series feature extraction & processing. MIT
@@ -3684,7 +3688,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
pip install tsflex
```
@@ -3693,6 +3697,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tsflex
```
pydlm (π₯19 Β· β 480 Β· π€) - A python library for Bayesian time series modeling. BSD-3
+
+- [GitHub](https://github.com/wwrechard/pydlm) (π¨βπ» 7 Β· π 98 Β· π¦ 40 Β· π 51 - 70% open Β· β±οΈ 07.09.2024):
+
+ ```
+ git clone https://github.com/wwrechard/pydlm
+ ```
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 58K / month Β· π¦ 2 Β· β±οΈ 13.08.2024):
+ ```
+ pip install pydlm
+ ```
+Auto TS (π₯18 Β· β 750 Β· π€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
- [GitHub](https://github.com/AutoViML/Auto_TS) (π¨βπ» 13 Β· π 120 Β· π 90 - 2% open Β· β±οΈ 05.05.2024):
@@ -3700,18 +3716,17 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 3.2K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 3.1K / month Β· β±οΈ 05.05.2024):
```
pip install auto-ts
```
Show 10 hidden projects...
+Show 9 hidden projects...
-- pyts (π₯28 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
- ADTK (π₯23 Β· β 1.2K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
- luminol (π₯22 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
-- seglearn (π₯21 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
+- seglearn (π₯21 Β· β 580 Β· π) - Python module for machine learning time series:. BSD-3
- tick (π₯21 Β· β 500 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
- matrixprofile-ts (π₯19 Β· β 740 Β· π) - A Python library for detecting patterns and anomalies.. Apache-2
- atspy (π₯14 Β· β 520 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
@@ -3728,28 +3743,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯39 Β· β 2.9K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π¦ 5.6K Β· π 5K - 11% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π¦ 5.7K Β· π 5K - 11% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/mne-tools/mne-python
```
-- [PyPi](https://pypi.org/project/mne) (π₯ 170K / month Β· π¦ 420 Β· β±οΈ 18.12.2024):
+- [PyPi](https://pypi.org/project/mne) (π₯ 160K / month Β· π¦ 420 Β· β±οΈ 18.12.2024):
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 520K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 530K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mne
```
Nilearn (π₯38 Β· β 1.3K Β· π) - Machine learning for NeuroImaging in Python. BSD-3
+Nilearn (π₯38 Β· β 1.3K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 300 Β· π¦ 4.1K Β· π 2.3K - 12% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 260 Β· π 600 Β· π₯ 300 Β· π¦ 4.2K Β· π 2.4K - 12% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 120K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 170K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
```
pip install nilearn
```
@@ -3758,34 +3773,34 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nilearn
```
MONAI (π₯36 Β· β 6.3K) - AI Toolkit for Healthcare Imaging. Apache-2
+MONAI (π₯36 Β· β 6.4K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.2K Β· π¦ 4K Β· π 3.2K - 12% open Β· β±οΈ 13.04.2025):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.2K Β· π¦ 4.1K Β· π 3.2K - 13% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 260K / month Β· π¦ 140 Β· β±οΈ 10.12.2024):
+- [PyPi](https://pypi.org/project/monai) (π₯ 290K / month Β· π¦ 140 Β· β±οΈ 10.12.2024):
```
pip install monai
```
-- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 47K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/monai) (π₯ 48K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge monai
```
NIPYPE (π₯35 Β· β 780) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 6.5K Β· π 1.4K - 30% open Β· β±οΈ 19.03.2025):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 6.7K Β· π 1.4K - 30% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 350K / month Β· π¦ 150 Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 330K / month Β· π¦ 150 Β· β±οΈ 19.03.2025):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 790K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 790K Β· β±οΈ 05.05.2025):
```
conda install -c conda-forge nipype
```
@@ -3797,23 +3812,23 @@ _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₯ 790K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 820K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
```
pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 890K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 900K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge nibabel
```
Lifelines (π₯33 Β· β 2.4K) - Survival analysis in Python. MIT
+Lifelines (π₯33 Β· β 2.4K Β· π€) - Survival analysis in Python. MIT
- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 560 Β· π¦ 3.8K Β· π 980 - 27% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.8M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.3M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
```
pip install lifelines
```
@@ -3822,21 +3837,21 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
Hail (π₯33 Β· β 1K) - Cloud-native genomic dataframes and batch computing. MIT
+Hail (π₯32 Β· β 1K) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 250 Β· π¦ 160 Β· π 2.5K - 10% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 97 Β· π 250 Β· π¦ 170 Β· π 2.5K - 10% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 23K / month Β· π¦ 42 Β· β±οΈ 07.03.2025):
+- [PyPi](https://pypi.org/project/hail) (π₯ 14K / month Β· π¦ 42 Β· β±οΈ 07.03.2025):
```
pip install hail
```
DeepVariant (π₯24 Β· β 3.4K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
-- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 36 Β· π 730 Β· π₯ 4.8K Β· π 900 - 0% open Β· β±οΈ 10.03.2025):
+- [GitHub](https://github.com/google/deepvariant) (π¨βπ» 36 Β· π 740 Β· π₯ 4.8K Β· π 900 - 0% open Β· β±οΈ 10.03.2025):
```
git clone https://github.com/google/deepvariant
@@ -3846,14 +3861,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c bioconda deepvariant
```
Brainiak (π₯19 Β· β 350) - Brain Imaging Analysis Kit. Apache-2
+Brainiak (π₯19 Β· β 360) - Brain Imaging Analysis Kit. Apache-2
- [GitHub](https://github.com/brainiak/brainiak) (π¨βπ» 35 Β· π 140 Β· π 230 - 38% open Β· β±οΈ 06.01.2025):
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 2.4K / month Β· β±οΈ 07.01.2025):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 2.6K / month Β· β±οΈ 07.01.2025):
```
pip install brainiak
```
@@ -3871,8 +3886,8 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2
- MedicalTorch (π₯15 Β· β 870 Β· π) - A medical imaging framework for Pytorch. Apache-2 MIT
- Medical Detection Toolkit (π₯14 Β· β 1.3K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 MIT
- MedicalNet (π₯12 Β· β 2K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
@@ -3883,26 +3898,38 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
_Libraries for processing tabular and structured data._
-pytorch_tabular (π₯24 Β· β 1.5K) - A standard framework for modelling Deep Learning Models.. MIT
+skrub (π₯29 Β· β 1.4K Β· β) - Machine learning with dataframes. BSD-3
+
+- [GitHub](https://github.com/skrub-data/skrub) (π¨βπ» 58 Β· π 120 Β· π¦ 76 Β· π 430 - 19% open Β· β±οΈ 08.05.2025):
+
+ ```
+ git clone https://github.com/skrub-data/skrub
+ ```
+- [PyPi](https://pypi.org/project/skrub) (π₯ 13K / month Β· π¦ 10 Β· β±οΈ 03.04.2025):
+ ```
+ pip install skrub
+ ```
+pytorch_tabular (π₯24 Β· β 1.5K) - A standard framework for modelling Deep Learning Models.. MIT
- [GitHub](https://github.com/manujosephv/pytorch_tabular) (π¨βπ» 27 Β· π 150 Β· π₯ 54 Β· π 170 - 6% open Β· β±οΈ 19.04.2025):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 7.3K / month Β· π¦ 9 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 10K / month Β· π¦ 9 Β· β±οΈ 28.11.2024):
```
pip install pytorch_tabular
```
miceforest (π₯24 Β· β 380 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
+miceforest (π₯24 Β· β 380 Β· π€) - Multiple Imputation with LightGBM in Python. MIT
- [GitHub](https://github.com/AnotherSamWilson/miceforest) (π¨βπ» 8 Β· π 30 Β· π¦ 230 Β· π 90 - 11% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 74K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 100K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
pip install miceforest
```
@@ -3913,12 +3940,12 @@ _Libraries for processing tabular and structured data._
upgini (π₯22 Β· β 330) - 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 19.04.2025):
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 24 Β· π¦ 9 Β· β±οΈ 07.05.2025):
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (π₯ 28K / month Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 24K / month Β· β±οΈ 08.05.2025):
```
pip install upgini
```
@@ -3936,9 +3963,9 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (π₯41 Β· β 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯42 Β· β 49K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 280 Β· π 8.1K Β· π₯ 1.8M Β· π¦ 5.2K Β· π 9.6K - 0% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 280 Β· π 8.2K Β· π₯ 1.9M Β· π¦ 5.4K Β· π 9.6K - 0% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
@@ -3948,64 +3975,64 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
pip install paddleocr
```
OCRmyPDF (π₯38 Β· β 28K Β· π) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing.. MPL-2.0
+OCRmyPDF (π₯37 Β· β 29K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 110 Β· π 1.9K Β· π₯ 11K Β· π¦ 1.3K Β· π 1.2K - 10% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 110 Β· π 1.9K Β· π₯ 12K Β· π¦ 1.3K Β· π 1.2K - 10% open Β· β±οΈ 21.04.2025):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 240K / month Β· π¦ 46 Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 220K / month Β· π¦ 46 Β· β±οΈ 24.04.2025):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 96K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 98K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ocrmypdf
```
EasyOCR (π₯34 Β· β 26K Β· π€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
+EasyOCR (π₯34 Β· β 27K Β· π€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.3K Β· π₯ 20M Β· π¦ 14K Β· π 1.1K - 43% open Β· β±οΈ 24.09.2024):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 3.3K Β· π₯ 21M Β· π¦ 14K Β· π 1.1K - 43% open Β· β±οΈ 24.09.2024):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 850K / month Β· π¦ 250 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 860K / month Β· π¦ 250 Β· β±οΈ 24.09.2024):
```
pip install easyocr
```
Tesseract (π₯31 Β· β 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
+tesserocr (π₯31 Β· β 2.1K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 50 Β· π 720 Β· π 370 - 3% open Β· β±οΈ 17.02.2025):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 32 Β· π 260 Β· π₯ 950 Β· π¦ 1.2K Β· π 280 - 17% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/madmaze/pytesseract
+ git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 3.1M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 130K / month Β· π¦ 43 Β· β±οΈ 12.02.2025):
```
- pip install pytesseract
+ pip install tesserocr
```
-- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 660K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 250K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pytesseract
+ conda install -c conda-forge tesserocr
```
tesserocr (π₯31 Β· β 2.1K) - A Python wrapper for the tesseract-ocr API. MIT
+Tesseract (π₯30 Β· β 6.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 31 Β· π 260 Β· π₯ 940 Β· π¦ 1.2K Β· π 280 - 17% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 50 Β· π 720 Β· π 370 - 3% open Β· β±οΈ 17.02.2025):
```
- git clone https://github.com/sirfz/tesserocr
+ git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 120K / month Β· π¦ 43 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 3M / month Β· π¦ 970 Β· β±οΈ 16.08.2024):
```
- pip install tesserocr
+ pip install pytesseract
```
-- [Conda](https://anaconda.org/conda-forge/tesserocr) (π₯ 250K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytesseract) (π₯ 660K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge tesserocr
+ conda install -c conda-forge pytesseract
```
MMOCR (π₯27 Β· β 4.5K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2
@@ -4015,15 +4042,15 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.8K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 4.5K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
Show 6 hidden projects...
-- keras-ocr (π₯26 Β· β 1.4K Β· π) - A packaged and flexible version of the CRAFT text detector.. MIT βοΈGPL-3.0
+- keras-ocr (π₯26 Β· β 1.5K Β· π) - A packaged and flexible version of the CRAFT text detector.. MIT βοΈGPL-3.0
- pdftabextract (π₯21 Β· β 2.2K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
- attention-ocr (π₯21 Β· β 1.1K Β· π) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT MIT
@@ -4037,7 +4064,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
_General-purpose data containers & structures as well as utilities & extensions for pandas._
-π best-of-python - Data Containers ( β 3.9K) - Collection of data-container, dataframe, and pandas-..
+π best-of-python - Data Containers ( β 4K) - Collection of data-container, dataframe, and pandas-..
@@ -4047,7 +4074,7 @@ _General-purpose data containers & structures as well as utilities & extensions
_Libraries for loading, collecting, and extracting data from a variety of data sources and formats._
-π best-of-python - Data Extraction ( β 3.9K) - Collection of data-loading and -extraction libraries.
+π best-of-python - Data Extraction ( β 4K) - Collection of data-loading and -extraction libraries.
@@ -4067,11 +4094,11 @@ _Libraries for web scraping, crawling, downloading, and mining as well as librar
_Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._
-π best-of-python - Data Pipelines ( β 3.9K) - Libraries for data batch- and stream-processing,..
+π best-of-python - Data Pipelines ( β 4K) - Libraries for data batch- and stream-processing,..
Show 1 hidden projects...
-- pyclugen (π₯10 Β· β 8) - Multidimensional cluster generation in Python. MIT
+- pyclugen (π₯10 Β· β 8 Β· π€) - Multidimensional cluster generation in Python. MIT
@@ -4083,44 +4110,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (π₯47 Β· β 37K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.2K Β· π 6.2K Β· π₯ 250 Β· π¦ 23K Β· π 21K - 21% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.2K Β· π 6.3K Β· π₯ 260 Β· π¦ 24K Β· π 21K - 21% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 6.7M / month Β· π¦ 920 Β· β±οΈ 27.03.2025):
+- [PyPi](https://pypi.org/project/ray) (π₯ 7.6M / month Β· π¦ 960 Β· β±οΈ 07.05.2025):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 740K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 760K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ray-tune
```
dask (π₯44 Β· β 13K) - Parallel computing with task scheduling. BSD-3
+dask (π₯45 Β· β 13K Β· π) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 620 Β· π 1.8K Β· π¦ 73K Β· π 5.5K - 20% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 620 Β· π 1.8K Β· π¦ 74K Β· π 5.5K - 20% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 11M / month Β· π¦ 2.9K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/dask) (π₯ 11M / month Β· π¦ 2.9K Β· β±οΈ 25.04.2025):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 13M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 13M Β· β±οΈ 25.04.2025):
```
conda install -c conda-forge dask
```
DeepSpeed (π₯41 Β· β 38K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/deepspeedai/DeepSpeed) (π¨βπ» 380 Β· π 4.3K Β· π¦ 13K Β· π 3.1K - 33% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/deepspeedai/DeepSpeed) (π¨βπ» 380 Β· π 4.3K Β· π¦ 13K Β· π 3.1K - 34% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 670K / month Β· π¦ 270 Β· β±οΈ 18.04.2025):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 720K / month Β· π¦ 270 Β· β±οΈ 18.04.2025):
```
pip install deepspeed
```
@@ -4131,63 +4158,63 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (π₯39 Β· β 1.6K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 340 Β· π 730 Β· π¦ 40K Β· π 4K - 38% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 340 Β· π 730 Β· π¦ 40K Β· π 4K - 38% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 3.9M / month Β· π¦ 960 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 3.6M / month Β· π¦ 960 Β· β±οΈ 25.04.2025):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 17M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 17M Β· β±οΈ 25.04.2025):
```
conda install -c conda-forge distributed
```
metrics (π₯36 Β· β 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
+horovod (π₯36 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 270 Β· π 420 Β· π₯ 6.5K Β· π¦ 41K Β· π 940 - 7% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.3K Β· π¦ 1.4K Β· π 2.3K - 17% open Β· β±οΈ 01.02.2025):
```
- git clone https://github.com/Lightning-AI/metrics
- ```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 6.5K / month Β· π¦ 4 Β· β±οΈ 26.02.2025):
- ```
- pip install metrics
+ git clone https://github.com/horovod/horovod
```
-- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 1.9M Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 97K / month Β· π¦ 34 Β· β±οΈ 12.06.2023):
```
- conda install -c conda-forge torchmetrics
+ pip install horovod
```
horovod (π₯35 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
+metrics (π₯36 Β· β 2.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.3K Β· π¦ 1.4K Β· π 2.3K - 17% open Β· β±οΈ 01.02.2025):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 270 Β· π 420 Β· π₯ 6.5K Β· π¦ 41K Β· π 950 - 7% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/horovod/horovod
+ git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 93K / month Β· π¦ 34 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 5.8K / month Β· π¦ 4 Β· β±οΈ 26.02.2025):
```
- pip install horovod
+ pip install metrics
+ ```
+- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 1.9M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge torchmetrics
```
H2O-3 (π₯35 Β· β 7.1K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
+H2O-3 (π₯35 Β· β 7.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 280 Β· π 2K Β· π¦ 98 Β· π 9.6K - 30% open Β· β±οΈ 11.04.2025):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 280 Β· π 2K Β· π¦ 98 Β· π 9.6K - 30% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/h2oai/h2o-3
```
-- [PyPi](https://pypi.org/project/h2o) (π₯ 190K / month Β· π¦ 55 Β· β±οΈ 27.03.2025):
+- [PyPi](https://pypi.org/project/h2o) (π₯ 190K / month Β· π¦ 57 Β· β±οΈ 27.03.2025):
```
pip install h2o
```
ColossalAI (π₯32 Β· β 41K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 200 Β· π 4.5K Β· π¦ 500 Β· π 1.8K - 26% open Β· β±οΈ 18.04.2025):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.5K Β· π¦ 500 Β· π 1.8K - 26% open Β· β±οΈ 18.04.2025):
```
git clone https://github.com/hpcaitech/colossalai
@@ -4195,12 +4222,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (π₯32 Β· β 7.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
-- [GitHub](https://github.com/intel/ipex-llm) (π¨βπ» 120 Β· π 1.3K Β· π₯ 680 Β· π 2.9K - 39% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/intel/ipex-llm) (π¨βπ» 110 Β· π 1.3K Β· π₯ 690 Β· π 2.9K - 39% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 27K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 28K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
```
pip install bigdl
```
@@ -4213,14 +4240,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
FairScale (π₯32 Β· β 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3
+FairScale (π₯31 Β· β 3.3K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 76 Β· π 290 Β· π¦ 8.1K Β· π 390 - 26% open Β· β±οΈ 12.01.2025):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 76 Β· π 290 Β· π¦ 8.2K Β· π 390 - 26% open Β· β±οΈ 26.04.2025):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 520K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 490K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
@@ -4231,16 +4258,16 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (π₯31 Β· β 850) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 32K Β· π 200 - 2% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 33K Β· π 210 - 2% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 420K / month Β· π¦ 830 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 430K / month Β· π¦ 830 Β· β±οΈ 13.02.2025):
```
pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.7M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.8M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mpi4py
```
@@ -4252,14 +4279,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/microsoft/SynapseML
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 590K / month Β· π¦ 7 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 670K / month Β· π¦ 7 Β· β±οΈ 17.04.2025):
```
pip install synapseml
```
dask-ml (π₯29 Β· β 930) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (π₯30 Β· β 930) - 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 550 - 51% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 80 Β· π 260 Β· π¦ 1.3K Β· π 550 - 51% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/dask/dask-ml
@@ -4268,47 +4295,47 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install dask-ml
```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 970K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 980K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge dask-ml
```
Submit it (π₯28 Β· β 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
+Submit it (π₯29 Β· β 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 26 Β· π 130 Β· π¦ 4.3K Β· π 130 - 39% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 26 Β· π 130 Β· π¦ 4.4K Β· π 130 - 39% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/facebookincubator/submitit
```
-- [PyPi](https://pypi.org/project/submitit) (π₯ 470K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/submitit) (π₯ 410K / month Β· π¦ 49 Β· β±οΈ 18.09.2024):
```
pip install submitit
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 56K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 57K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge submitit
```
Hivemind (π₯27 Β· β 2.2K Β· π) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
+Hivemind (π₯27 Β· β 2.2K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT
-- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 34 Β· π 180 Β· π¦ 130 Β· π 190 - 43% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/learning-at-home/hivemind) (π¨βπ» 34 Β· π 180 Β· π¦ 130 Β· π 190 - 43% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 4.3K / month Β· π¦ 12 Β· β±οΈ 20.04.2025):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 6.2K / month Β· π¦ 12 Β· β±οΈ 20.04.2025):
```
pip install hivemind
```
Apache Singa (π₯25 Β· β 3.4K) - a distributed deep learning platform. Apache-2
-- [GitHub](https://github.com/apache/singa) (π¨βπ» 97 Β· π 1.3K Β· π¦ 5 Β· π 140 - 35% open Β· β±οΈ 26.03.2025):
+- [GitHub](https://github.com/apache/singa) (π¨βπ» 97 Β· π 1.3K Β· π¦ 6 Β· π 140 - 35% open Β· β±οΈ 26.03.2025):
```
git clone https://github.com/apache/singa
```
-- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 980 Β· β±οΈ 25.03.2025):
+- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 990 Β· β±οΈ 25.03.2025):
```
conda install -c nusdbsystem singa
```
@@ -4336,7 +4363,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
```
pip install analytics-zoo
```
@@ -4344,7 +4371,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 18 hidden projects...
- DEAP (π₯34 Β· β 6.1K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
-- ipyparallel (π₯30 Β· β 2.6K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed βUnlicensed Apache-2
- TensorFlowOnSpark (π₯27 Β· β 3.9K Β· π) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 MIT keras Optuna (π₯43 Β· β 12K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 290 Β· π 1.1K Β· π¦ 25K Β· π 1.7K - 3% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 290 Β· π 1.1K Β· π¦ 26K Β· π 1.7K - 3% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/optuna/optuna
@@ -4381,23 +4408,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install optuna
```
-- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2.6M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2.7M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge optuna
```
AutoGluon (π₯36 Β· β 8.8K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 140 Β· π 1K Β· π¦ 1.1K Β· π 1.6K - 24% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 140 Β· π 1K Β· π¦ 1.1K Β· π 1.7K - 24% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 220K / month Β· π¦ 31 Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 220K / month Β· π¦ 32 Β· β±οΈ 08.05.2025):
```
pip install autogluon
```
-- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 33K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/autogluon) (π₯ 34K Β· β±οΈ 03.05.2025):
```
conda install -c conda-forge autogluon
```
@@ -4408,23 +4435,35 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯36 Β· β 2.5K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 320 Β· π¦ 950 Β· π 850 - 10% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 320 Β· π¦ 960 Β· π 850 - 10% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/facebook/Ax
```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 150K / month Β· π¦ 57 Β· β±οΈ 03.02.2025):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 210K / month Β· π¦ 57 Β· β±οΈ 03.02.2025):
```
pip install ax-platform
```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 37K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 38K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ax-platform
```
Bayesian Optimization (π₯34 Β· β 8.2K) - A Python implementation of global optimization with.. MIT
+
+- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 50 Β· π 1.6K Β· π₯ 180 Β· π¦ 3.7K Β· π 380 - 1% open Β· β±οΈ 07.05.2025):
+
+ ```
+ git clone https://github.com/fmfn/BayesianOptimization
+ ```
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 380K / month Β· π¦ 150 Β· β±οΈ 27.12.2024):
+ ```
+ pip install bayesian-optimization
+ ```
+Hyperopt (π₯34 Β· β 7.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 21K Β· π 750 - 19% open Β· β±οΈ 27.12.2024):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 21K Β· π 760 - 18% open Β· β±οΈ 27.12.2024):
```
git clone https://github.com/hyperopt/hyperopt
@@ -4438,48 +4477,48 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge hyperopt
```
BoTorch (π₯34 Β· β 3.2K) - Bayesian optimization in PyTorch. MIT
+BoTorch (π₯34 Β· β 3.3K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 140 Β· π 410 Β· π¦ 1.5K Β· π 580 - 13% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 140 Β· π 420 Β· π¦ 1.5K Β· π 590 - 13% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 210K / month Β· π¦ 100 Β· β±οΈ 03.02.2025):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 280K / month Β· π¦ 110 Β· β±οΈ 06.05.2025):
```
pip install botorch
```
-- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 150K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/botorch) (π₯ 150K Β· β±οΈ 07.05.2025):
```
conda install -c conda-forge botorch
```
Bayesian Optimization (π₯33 Β· β 8.2K) - A Python implementation of global optimization with.. MIT
+nevergrad (π₯33 Β· β 4.1K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 48 Β· π 1.6K Β· π₯ 180 Β· π¦ 3.6K Β· π 380 - 1% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 58 Β· π 360 Β· π¦ 900 Β· π 310 - 40% open Β· β±οΈ 23.04.2025):
```
- git clone https://github.com/fmfn/BayesianOptimization
+ git clone https://github.com/facebookresearch/nevergrad
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 440K / month Β· π¦ 150 Β· β±οΈ 27.12.2024):
+- [PyPi](https://pypi.org/project/nevergrad) (π₯ 120K / month Β· π¦ 72 Β· β±οΈ 23.04.2025):
```
- pip install bayesian-optimization
+ pip install nevergrad
+ ```
+- [Conda](https://anaconda.org/conda-forge/nevergrad) (π₯ 62K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge nevergrad
```
nevergrad (π₯33 Β· β 4K) - A Python toolbox for performing gradient-free optimization. MIT
+AutoKeras (π₯32 Β· β 9.2K) - AutoML library for deep learning. Apache-2
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 58 Β· π 360 Β· π¦ 890 Β· π 310 - 40% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 20K Β· π¦ 850 Β· π 910 - 16% open Β· β±οΈ 16.12.2024):
```
- git clone https://github.com/facebookresearch/nevergrad
- ```
-- [PyPi](https://pypi.org/project/nevergrad) (π₯ 130K / month Β· π¦ 72 Β· β±οΈ 23.04.2025):
- ```
- pip install nevergrad
+ git clone https://github.com/keras-team/autokeras
```
-- [Conda](https://anaconda.org/conda-forge/nevergrad) (π₯ 61K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 18K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
```
- conda install -c conda-forge nevergrad
+ pip install autokeras
```
featuretools (π₯32 Β· β 7.4K) - An open source python library for automated feature engineering. BSD-3
@@ -4489,55 +4528,43 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 90K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 88K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
```
pip install featuretools
```
-- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 240K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 250K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge featuretools
```
AutoKeras (π₯31 Β· β 9.2K) - AutoML library for deep learning. Apache-2
-
-- [GitHub](https://github.com/keras-team/autokeras) (π¨βπ» 140 Β· π 1.4K Β· π₯ 19K Β· π¦ 840 Β· π 910 - 16% open Β· β±οΈ 16.12.2024):
-
- ```
- git clone https://github.com/keras-team/autokeras
- ```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 18K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
- ```
- pip install autokeras
- ```
-Keras Tuner (π₯31 Β· β 2.9K Β· π€) - A Hyperparameter Tuning Library for Keras. Apache-2
+Keras Tuner (π₯32 Β· β 2.9K Β· π€) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 400 Β· π¦ 5.7K Β· π 500 - 44% open Β· β±οΈ 24.06.2024):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 400 Β· π¦ 5.8K Β· π 500 - 44% open Β· β±οΈ 24.06.2024):
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 350K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 1.1M / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
```
pip install keras-tuner
```
-- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 55K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/keras-tuner) (π₯ 56K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge keras-tuner
```
mljar-supervised (π₯29 Β· β 3.1K) - Python package for AutoML on Tabular Data with Feature.. MIT
+mljar-supervised (π₯29 Β· β 3.2K) - Python package for AutoML on Tabular Data with Feature.. MIT
-- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 30 Β· π 420 Β· π¦ 140 Β· π 670 - 20% open Β· β±οΈ 14.04.2025):
+- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 30 Β· π 420 Β· π¦ 150 Β· π 670 - 20% open Β· β±οΈ 14.04.2025):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 9.5K / month Β· π¦ 6 Β· β±οΈ 01.04.2025):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 8.8K / month Β· π¦ 6 Β· β±οΈ 01.04.2025):
```
pip install mljar-supervised
```
-- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 40K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (π₯ 41K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge mljar-supervised
```
@@ -4549,61 +4576,49 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 21K / month Β· π¦ 8 Β· β±οΈ 05.04.2025):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 20K / month Β· π¦ 8 Β· β±οΈ 05.04.2025):
```
pip install lazypredict
```
-- [Conda](https://anaconda.org/conda-forge/lazypredict) (π₯ 4.6K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/lazypredict) (π₯ 4.8K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge lazypredict
```
Talos (π₯25 Β· β 1.6K Β· π€) - Hyperparameter Experiments with TensorFlow and Keras. MIT
-
-- [GitHub](https://github.com/autonomio/talos) (π¨βπ» 23 Β· π 270 Β· π¦ 200 Β· π 400 - 2% open Β· β±οΈ 22.04.2024):
-
- ```
- git clone https://github.com/autonomio/talos
- ```
-- [PyPi](https://pypi.org/project/talos) (π₯ 2K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
- ```
- pip install talos
- ```
-FEDOT (π₯25 Β· β 670) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 38 Β· π 88 Β· π¦ 60 Β· π 570 - 11% open Β· β±οΈ 31.03.2025):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 38 Β· π 88 Β· π¦ 61 Β· π 570 - 11% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 2K / month Β· π¦ 7 Β· β±οΈ 10.03.2025):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 1.9K / month Β· π¦ 7 Β· β±οΈ 10.03.2025):
```
pip install fedot
```
featurewiz (π₯23 Β· β 640) - Use advanced feature engineering strategies and select best.. Apache-2
+Hyperactive (π₯23 Β· β 520) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 95 Β· π¦ 83 Β· π 110 - 0% open Β· β±οΈ 19.02.2025):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 13 Β· π 48 Β· π₯ 310 Β· π¦ 38 Β· π 81 - 19% open Β· β±οΈ 05.05.2025):
```
- git clone https://github.com/AutoViML/featurewiz
+ git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 16K / month Β· π¦ 4 Β· β±οΈ 19.02.2025):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.8K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
- pip install featurewiz
+ pip install hyperactive
```
Hyperactive (π₯22 Β· β 520) - An optimization and data collection toolbox for convenient and fast.. MIT
+featurewiz (π₯21 Β· β 650 Β· π) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 12 Β· π 47 Β· π₯ 310 Β· π¦ 37 Β· π 79 - 18% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 95 Β· π¦ 83 Β· π 110 - 0% open Β· β±οΈ 19.02.2025):
```
- git clone https://github.com/SimonBlanke/Hyperactive
+ git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 3.4K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 14K / month Β· π¦ 4 Β· β±οΈ 19.02.2025):
```
- pip install hyperactive
+ pip install featurewiz
```
Auto ViML (π₯21 Β· β 540) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
@@ -4613,19 +4628,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 6.5K / month Β· π¦ 3 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 6.4K / month Β· π¦ 3 Β· β±οΈ 30.01.2025):
```
pip install autoviml
```
AlphaPy (π₯20 Β· β 1.5K) - Python AutoML for Trading Systems and Sports Betting. Apache-2
-- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 230 Β· π¦ 8 Β· π 44 - 34% open Β· β±οΈ 15.12.2024):
+- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 240 Β· π¦ 9 Β· π 44 - 34% open Β· β±οΈ 15.12.2024):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 800 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 840 / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
@@ -4637,30 +4652,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 860 / month Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 800 / month Β· β±οΈ 18.08.2024):
```
pip install opytimizer
```
Show 33 hidden projects...
+Show 34 hidden projects...
-- TPOT (π₯33 Β· β 9.9K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0 BSD-3
+- TPOT (π₯33 Β· β 9.9K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0 BSD-3
- NNI (π₯31 Β· β 14K Β· π) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
- auto-sklearn (π₯31 Β· β 7.8K Β· π) - Automated Machine Learning with scikit-learn. BSD-3 MIT βοΈBSD-1-Clause
+- Talos (π₯25 Β· β 1.6K Β· π) - Hyperparameter Experiments with TensorFlow and Keras. MIT BSD-3
- lightwood (π₯25 Β· β 460) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 Apache-2 MIT
- HpBandSter (π₯23 Β· β 620 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
- Orion (π₯23 Β· β 290 Β· π) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
+- Neuraxle (π₯22 Β· β 610 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
- 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
-- sklearn-deap (π₯21 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
-- Neuraxle (π₯21 Β· β 610 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
+- sklearn-deap (π₯20 Β· β 770 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT BSD-3
- Dragonfly (π₯19 Β· β 880 Β· π) - An open source python library for scalable Bayesian optimisation. MIT
- Auto Tune Models (π₯19 Β· β 530 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
@@ -4688,12 +4704,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (π₯32 Β· β 12K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.6K Β· π¦ 86 Β· π 740 - 34% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.7K Β· π¦ 89 Β· π 740 - 34% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 3.1K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 3.3K / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
@@ -4705,37 +4721,37 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 6K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 6.9K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
```
pip install vizdoom
```
TF-Agents (π₯28 Β· β 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
+Acme (π₯28 Β· β 3.7K) - A library of reinforcement learning components and agents. Apache-2
-- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 680 - 30% open Β· β±οΈ 12.03.2025):
+- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 88 Β· π 460 Β· π¦ 240 Β· π 270 - 23% open Β· β±οΈ 03.05.2025):
```
- git clone https://github.com/tensorflow/agents
+ git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 35K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 2.4K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
- pip install tf-agents
+ pip install dm-acme
+ ```
+- [Conda](https://anaconda.org/conda-forge/dm-acme) (π₯ 12K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge dm-acme
```
Acme (π₯27 Β· β 3.7K) - A library of reinforcement learning components and agents. Apache-2
+TF-Agents (π₯28 Β· β 2.9K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
-- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 87 Β· π 460 Β· π¦ 240 Β· π 270 - 23% open Β· β±οΈ 18.04.2025):
+- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 680 - 30% open Β· β±οΈ 30.04.2025):
```
- git clone https://github.com/deepmind/acme
- ```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 3.4K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
- ```
- pip install dm-acme
+ git clone https://github.com/tensorflow/agents
```
-- [Conda](https://anaconda.org/conda-forge/dm-acme) (π₯ 12K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 29K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
```
- conda install -c conda-forge dm-acme
+ pip install tf-agents
```
Dopamine (π₯26 Β· β 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2
@@ -4745,7 +4761,7 @@ _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₯ 30K / month Β· π¦ 10 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/dopamine-rl) (π₯ 27K / month Β· π¦ 10 Β· β±οΈ 31.10.2024):
```
pip install dopamine-rl
```
@@ -4757,43 +4773,43 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 720 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 660 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
PARL (π₯25 Β· β 3.4K) - A high-performance distributed training framework for Reinforcement.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 46 Β· π 820 Β· π¦ 130 Β· π 550 - 24% open Β· β±οΈ 24.01.2025):
+- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 46 Β· π 820 Β· π¦ 140 Β· π 540 - 23% open Β· β±οΈ 24.01.2025):
```
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₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
RLax (π₯24 Β· β 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2
+RLax (π₯25 Β· β 1.3K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 22 Β· π 91 Β· π¦ 330 Β· π 27 - 33% open Β· β±οΈ 14.04.2025):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 22 Β· π 91 Β· π¦ 330 Β· π 27 - 29% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 17K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 15K / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
```
pip install rlax
```
PFRL (π₯22 Β· β 1.2K Β· π€) - 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):
+- [GitHub](https://github.com/pfnet/pfrl) (π¨βπ» 20 Β· π 150 Β· π¦ 120 Β· π 80 - 41% open Β· β±οΈ 04.08.2024):
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 370 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 400 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
pip install pfrl
```
@@ -4805,7 +4821,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 71 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 60 / month Β· β±οΈ 27.05.2020):
```
pip install reagent
```
@@ -4827,7 +4843,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
- OpenAI Gym (π₯42 Β· β 36K Β· π) - A toolkit for developing and comparing reinforcement learning.. MIT
- baselines (π₯28 Β· β 16K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
- TensorLayer (π₯27 Β· β 7.4K Β· π) - Deep Learning and Reinforcement Learning Library for.. Apache-2 MIT MIT MIT MIT
- ChainerRL (π₯24 Β· β 1.2K Β· π) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
@@ -4845,42 +4861,42 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
_Libraries for building and evaluating recommendation systems._
-Recommenders (π₯33 Β· β 20K) - Best Practices on Recommendation Systems. MIT
+Recommenders (π₯35 Β· β 20K Β· π) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.2K Β· π₯ 730 Β· π¦ 160 Β· π 880 - 18% open Β· β±οΈ 19.01.2025):
+- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.2K Β· π₯ 730 Β· π¦ 170 Β· π 880 - 18% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 21K / month Β· π¦ 4 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/recommenders) (π₯ 20K / month Β· π¦ 4 Β· β±οΈ 24.12.2024):
```
pip install recommenders
```
torchrec (π₯31 Β· β 2.1K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 340 Β· π 480 Β· π¦ 200 Β· π 480 - 71% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 340 Β· π 500 Β· π¦ 200 Β· π 480 - 70% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 2.9K / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 3K / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
Cornac (π₯29 Β· β 950) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯30 Β· β 960) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 24 Β· π 150 Β· π¦ 280 Β· π 160 - 15% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 24 Β· π 150 Β· π¦ 280 Β· π 160 - 15% open Β· β±οΈ 26.04.2025):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 42K / month Β· π¦ 18 Β· β±οΈ 15.04.2025):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 49K / month Β· π¦ 18 Β· β±οΈ 26.04.2025):
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 800K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 810K Β· β±οΈ 26.04.2025):
```
conda install -c conda-forge cornac
```
@@ -4892,7 +4908,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 160K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 150K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
```
pip install scikit-surprise
```
@@ -4901,18 +4917,18 @@ _Libraries for building and evaluating recommendation systems._
conda install -c conda-forge scikit-surprise
```
RecBole (π₯27 Β· β 3.7K) - A unified, comprehensive and efficient recommendation library. MIT
+RecBole (π₯28 Β· β 3.7K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 79 Β· π 660 Β· π 1K - 29% open Β· β±οΈ 24.02.2025):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 79 Β· π 660 Β· π 1K - 30% open Β· β±οΈ 24.02.2025):
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 58K / month Β· π¦ 2 Β· β±οΈ 24.02.2025):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 85K / month Β· π¦ 2 Β· β±οΈ 24.02.2025):
```
pip install recbole
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 8K Β· β±οΈ 25.03.2025):
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 8.5K Β· β±οΈ 25.03.2025):
```
conda install -c aibox recbole
```
@@ -4924,7 +4940,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 260K / month Β· π¦ 2 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 250K / month Β· π¦ 2 Β· β±οΈ 03.02.2023):
```
pip install tensorflow-recommenders
```
@@ -4940,7 +4956,7 @@ _Libraries for building and evaluating recommendation systems._
- Spotlight (π₯19 Β· β 3K Β· π) - Deep recommender models using PyTorch. MIT MIT
- Case Recommender (π₯18 Β· β 500 Β· π) - Case Recommender: A Flexible and Extensible Python.. MIT Apache-2
+- OpenRec (π₯17 Β· β 410 Β· π) - OpenRec is an open-source and modular library for neural network-.. Apache-2
- Collie (π₯17 Β· β 110 Β· π) - A library for preparing, training, and evaluating scalable deep.. BSD-3
@@ -4951,7 +4967,7 @@ _Libraries for building and evaluating recommendation systems._
_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
-PySyft (π₯36 Β· β 9.7K) - Perform data science on data that remains in someone elses server. Apache-2
+PySyft (π₯35 Β· β 9.7K) - 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₯ 1.9K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 13.04.2025):
@@ -4965,12 +4981,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
Opacus (π₯32 Β· β 1.8K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 85 Β· π 360 Β· π₯ 140 Β· π¦ 1.1K Β· π 330 - 20% open Β· β±οΈ 10.04.2025):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 85 Β· π 360 Β· π₯ 140 Β· π¦ 1.1K Β· π 330 - 20% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 92K / month Β· π¦ 42 Β· β±οΈ 18.02.2025):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 96K / month Β· π¦ 42 Β· β±οΈ 18.02.2025):
```
pip install opacus
```
@@ -4981,12 +4997,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (π₯25 Β· β 2K) - Library for training machine learning models with.. Apache-2
-- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 60 Β· π 450 Β· π₯ 190 Β· π 210 - 55% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 60 Β· π 440 Β· π₯ 190 Β· π 210 - 55% open Β· β±οΈ 23.04.2025):
```
git clone https://github.com/tensorflow/privacy
```
-- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 22K / month Β· π¦ 21 Β· β±οΈ 14.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-privacy) (π₯ 20K / month Β· π¦ 21 Β· β±οΈ 14.02.2024):
```
pip install tensorflow-privacy
```
@@ -4998,19 +5014,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 2K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 1.8K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
pip install tf-encrypted
```
CrypTen (π₯24 Β· β 1.6K) - A framework for Privacy Preserving Machine Learning. MIT
-- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 39 Β· π 280 Β· π¦ 57 Β· π 280 - 28% open Β· β±οΈ 23.11.2024):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 39 Β· π 290 Β· π¦ 60 Β· π 280 - 28% open Β· β±οΈ 23.11.2024):
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 770 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 720 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
@@ -5041,87 +5057,87 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (π₯44 Β· β 20K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 840 Β· π 4.5K Β· π¦ 58K Β· π 4.6K - 39% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 850 Β· π 4.5K Β· π¦ 60K Β· π 4.6K - 39% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 16M / month Β· π¦ 1.1K Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 16M / month Β· π¦ 1.1K Β· β±οΈ 25.04.2025):
```
pip install mlflow
```
-- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 3.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 3.2M Β· β±οΈ 26.04.2025):
```
conda install -c conda-forge mlflow
```
Tensorboard (π₯43 Β· β 6.9K) - TensorFlows Visualization Toolkit. Apache-2
+wandb client (π₯43 Β· β 9.8K) - 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¦ 310K Β· π 1.9K - 35% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 210 Β· π 740 Β· π₯ 710 Β· π¦ 76K Β· π 3.6K - 17% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/tensorflow/tensorboard
+ git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 26M / month Β· π¦ 2.5K Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 18M / month Β· π¦ 1.9K Β· β±οΈ 07.05.2025):
```
- pip install tensorboard
+ pip install wandb
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.5M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 1M Β· β±οΈ 23.04.2025):
```
- conda install -c conda-forge tensorboard
+ conda install -c conda-forge wandb
```
wandb client (π₯42 Β· β 9.8K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
+Tensorboard (π₯43 Β· β 6.9K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 210 Β· π 730 Β· π₯ 690 Β· π¦ 75K Β· π 3.6K - 17% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 330 Β· π 1.7K Β· π¦ 320K Β· π 1.9K - 35% open Β· β±οΈ 05.05.2025):
```
- git clone https://github.com/wandb/client
+ git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 17M / month Β· π¦ 1.8K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 26M / month Β· π¦ 2.5K Β· β±οΈ 12.02.2025):
```
- pip install wandb
+ pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/wandb) (π₯ 1M Β· β±οΈ 23.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.5M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge wandb
+ conda install -c conda-forge tensorboard
```
DVC (π₯41 Β· β 14K) - Data Versioning and ML Experiments. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 23K Β· π 4.8K - 5% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 23K Β· π 4.8K - 5% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 790K / month Β· π¦ 140 Β· β±οΈ 15.02.2025):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 670K / month Β· π¦ 140 Β· β±οΈ 06.05.2025):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.8M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.8M Β· β±οΈ 06.05.2025):
```
conda install -c conda-forge dvc
```
SageMaker SDK (π₯40 Β· β 2.2K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 480 Β· π 1.2K Β· π¦ 5.8K Β· π 1.6K - 20% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 480 Β· π 1.2K Β· π¦ 5.9K Β· π 1.6K - 20% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 23M / month Β· π¦ 180 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 24M / month Β· π¦ 180 Β· β±οΈ 07.05.2025):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.5M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.5M Β· β±οΈ 02.05.2025):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯36 Β· β 9.3K) - 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₯ 730 Β· π¦ 7.5K Β· π 2.3K - 16% open Β· β±οΈ 06.03.2025):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.8K Β· π₯ 730 Β· π¦ 7.6K Β· π 2.3K - 16% open Β· β±οΈ 06.03.2025):
```
git clone https://github.com/pycaret/pycaret
@@ -5130,19 +5146,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install pycaret
```
-- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 68K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pycaret) (π₯ 69K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pycaret
```
Metaflow (π₯36 Β· β 8.7K) - Build, Manage and Deploy AI/ML Systems. Apache-2
+Metaflow (π₯36 Β· β 8.8K) - Build, Manage and Deploy AI/ML Systems. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 100 Β· π 820 Β· π¦ 890 Β· π 790 - 42% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 100 Β· π 820 Β· π¦ 900 Β· π 790 - 42% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 290K / month Β· π¦ 52 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 270K / month Β· π¦ 52 Β· β±οΈ 06.05.2025):
```
pip install metaflow
```
@@ -5151,34 +5167,18 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge metaflow
```
ClearML (π₯34 Β· β 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-
-- [GitHub](https://github.com/clearml/clearml) (π¨βπ» 100 Β· π 670 Β· π₯ 3.2K Β· π¦ 1.7K Β· π 1.1K - 43% open Β· β±οΈ 24.04.2025):
-
- ```
- git clone https://github.com/allegroai/clearml
- ```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 360K / month Β· π¦ 55 Β· β±οΈ 20.04.2025):
- ```
- pip install clearml
- ```
-- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (π₯ 30K Β· β±οΈ 05.10.2020):
- ```
- docker pull allegroai/trains
- ```
-snakemake (π₯34 Β· β 2.5K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 370 Β· π 590 Β· π¦ 2.3K Β· π 2K - 60% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 370 Β· π 590 Β· π¦ 2.4K Β· π 2K - 60% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 76K / month Β· π¦ 280 Β· β±οΈ 24.04.2025):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 79K / month Β· π¦ 280 Β· β±οΈ 29.04.2025):
```
pip install snakemake
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.4M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.4M Β· β±οΈ 29.04.2025):
```
conda install -c bioconda snakemake
```
@@ -5190,7 +5190,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.8M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.7M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -5199,30 +5199,30 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge tensorboardx
```
kaggle (π₯33 Β· β 6.6K) - Official Kaggle API. Apache-2
+ClearML (π₯33 Β· β 6K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 49 Β· π 1.2K Β· π¦ 21 Β· π 520 - 28% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/clearml/clearml) (π¨βπ» 100 Β· π 670 Β· π₯ 3.3K Β· π¦ 1.8K Β· π 1.1K - 43% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/Kaggle/kaggle-api
+ git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/kaggle) (π₯ 360K / month Β· π¦ 230 Β· β±οΈ 14.03.2025):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 320K / month Β· π¦ 55 Β· β±οΈ 20.04.2025):
```
- pip install kaggle
+ pip install clearml
```
-- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 220K Β· β±οΈ 22.04.2025):
+- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (π₯ 31K Β· β±οΈ 05.10.2020):
```
- conda install -c conda-forge kaggle
+ docker pull allegroai/trains
```
aim (π₯33 Β· β 5.5K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
+aim (π₯33 Β· β 5.6K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 82 Β· π 340 Β· π¦ 860 Β· π 1.1K - 36% open Β· β±οΈ 08.04.2025):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 82 Β· π 340 Β· π¦ 870 Β· π 1.1K - 36% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 180K / month Β· π¦ 41 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/aim) (π₯ 150K / month Β· π¦ 41 Β· β±οΈ 08.05.2025):
```
pip install aim
```
@@ -5231,20 +5231,20 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge aim
```
sacred (π₯31 Β· β 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
+kaggle (π₯32 Β· β 6.6K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 110 Β· π 380 Β· π¦ 3.5K Β· π 560 - 18% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 49 Β· π 1.2K Β· π¦ 21 Β· π 520 - 28% open Β· β±οΈ 05.05.2025):
```
- git clone https://github.com/IDSIA/sacred
+ git clone https://github.com/Kaggle/kaggle-api
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 30K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/kaggle) (π₯ 330K / month Β· π¦ 230 Β· β±οΈ 14.03.2025):
```
- pip install sacred
+ pip install kaggle
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 8.6K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/kaggle) (π₯ 230K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge sacred
+ conda install -c conda-forge kaggle
```
AzureML SDK (π₯31 Β· β 4.2K) - Python notebooks with ML and deep learning examples with Azure.. MIT
@@ -5254,14 +5254,30 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 270K / month Β· π¦ 31 Β· β±οΈ 11.04.2025):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 260K / month Β· π¦ 31 Β· β±οΈ 11.04.2025):
```
pip install azureml-sdk
```
sacred (π₯30 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¦ 3.5K 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₯ 28K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
+ ```
+ pip install sacred
+ ```
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 8.7K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge sacred
+ ```
+Neptune.ai (π₯30 Β· β 610) - The experiment tracker for foundation model training. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 65 Β· π¦ 840 Β· π 260 - 12% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 65 Β· π¦ 850 Β· π 260 - 12% open Β· β±οΈ 16.04.2025):
```
git clone https://github.com/neptune-ai/neptune-client
@@ -5282,7 +5298,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 94K / month Β· π¦ 32 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 78K / month Β· π¦ 32 Β· β±οΈ 07.04.2025):
```
pip install ml-metadata
```
@@ -5294,7 +5310,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 160K / month Β· π¦ 82 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/visualdl) (π₯ 150K / month Β· π¦ 82 Β· β±οΈ 30.10.2024):
```
pip install visualdl
```
@@ -5318,55 +5334,67 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 5.1K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
+- [PyPi](https://pypi.org/project/labml) (π₯ 5.6K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
```
pip install labml
```
quinn (π₯26 Β· β 670) - pyspark methods to enhance developer productivity. Apache-2
-- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 31 Β· π 97 Β· π₯ 57 Β· π¦ 91 Β· π 130 - 27% open Β· β±οΈ 06.12.2024):
+- [GitHub](https://github.com/mrpowers-io/quinn) (π¨βπ» 31 Β· π 97 Β· π₯ 57 Β· π¦ 93 Β· π 130 - 27% open Β· β±οΈ 06.12.2024):
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 670K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 640K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
```
pip install quinn
```
TNT (π₯25 Β· β 1.7K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 150 Β· π 280 Β· π 150 - 56% open Β· β±οΈ 11.04.2025):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 150 Β· π 280 Β· π 150 - 56% open Β· β±οΈ 02.05.2025):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.8K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 5.7K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
gokart (π₯25 Β· β 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
-- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 47 Β· π 62 Β· π¦ 84 Β· π 99 - 32% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/m3dev/gokart) (π¨βπ» 47 Β· π 62 Β· π¦ 85 Β· π 99 - 32% open Β· β±οΈ 29.04.2025):
```
git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 6K / month Β· π¦ 8 Β· β±οΈ 27.02.2025):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 5.6K / month Β· π¦ 8 Β· β±οΈ 27.02.2025):
```
pip install gokart
```
keepsake (π₯19 Β· β 1.7K) - Version control for machine learning. Apache-2
+Guild AI (π₯23 Β· β 880) - Experiment tracking, ML developer tools. Apache-2
+
+- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 30 Β· π 88 Β· π₯ 31 Β· π¦ 100 Β· π 440 - 50% open Β· β±οΈ 29.04.2025):
+
+ ```
+ git clone https://github.com/guildai/guildai
+ ```
+- [PyPi](https://pypi.org/project/guildai) (π₯ 4.1K / month Β· β±οΈ 11.05.2022):
+ ```
+ pip install guildai
+ ```
+keepsake (π₯18 Β· β 1.7K) - Version control for machine learning. Apache-2
- [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/replicate/keepsake
```
-- [PyPi](https://pypi.org/project/keepsake) (π₯ 220 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/keepsake) (π₯ 160 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
```
pip install keepsake
```
@@ -5378,7 +5406,7 @@ _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₯ 520K / month Β· π¦ 94 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 520K / month Β· π¦ 94 Β· β±οΈ 29.04.2025):
```
pip install comet_ml
```
@@ -5387,24 +5415,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c anaconda comet_ml
```
Show 16 hidden projects...
+Show 15 hidden projects...
-- Catalyst (π₯28 Β· β 3.3K Β· π) - Accelerated deep learning R&D. Apache-2 Apache-2 MIT
-- SKLL (π₯24 Β· β 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βUnlicensed Apache-2
+- SKLL (π₯24 Β· β 560) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βUnlicensed MIT Apache-2
-- TensorWatch (π₯21 Β· β 3.4K Β· π) - Debugging, monitoring and visualization for Python Machine.. MIT
- lore (π₯21 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. MIT
- TensorBoard Logger (π₯21 Β· β 630 Β· π) - Log TensorBoard events without touching TensorFlow. 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
- chitra (π₯18 Β· β 230 Β· π€) - A multi-functional library for full-stack Deep Learning... Apache-2
- steppy (π₯17 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
- caliban (π₯16 Β· β 500 Β· π) - Research workflows made easy, locally and in the Cloud. Apache-2
- ModelChimp (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
-- traintool (π₯10 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. Apache-2 Apache-2
@@ -5416,7 +5443,7 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (π₯43 Β· β 15K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 390 Β· π 1.9K Β· π¦ 63K Β· π 1.7K - 42% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 390 Β· π 1.9K Β· π¦ 66K Β· π 1.8K - 42% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/openai/triton
@@ -5428,76 +5455,76 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯42 Β· β 19K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 340 Β· π 3.7K Β· π₯ 23K Β· π¦ 44K Β· π 3K - 11% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 340 Β· π 3.7K Β· π₯ 23K Β· π¦ 45K Β· π 3K - 11% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 7M / month Β· π¦ 1.3K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 6.8M / month Β· π¦ 1.3K Β· β±οΈ 01.10.2024):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1.7M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1.8M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge onnx
```
huggingface_hub (π₯38 Β· β 2.5K) - The official Python client for the Huggingface Hub. Apache-2
+huggingface_hub (π₯38 Β· β 2.6K) - The official Python client for the Huggingface Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 230 Β· π 670 Β· π 1.1K - 14% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 240 Β· π 690 Β· π 1.2K - 15% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 79M / month Β· π¦ 2.8K Β· β±οΈ 08.04.2025):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 84M / month Β· π¦ 2.9K Β· β±οΈ 07.05.2025):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 3.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 3.2M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge huggingface_hub
```
BentoML (π₯35 Β· β 7.6K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
+Core ML Tools (π₯36 Β· β 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 250 Β· π 840 Β· π₯ 470 Β· π¦ 2.6K Β· π 1.1K - 12% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 190 Β· π 680 Β· π₯ 15K Β· π¦ 4.8K Β· π 1.5K - 25% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/bentoml/BentoML
+ git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 110K / month Β· π¦ 40 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 550K / month Β· π¦ 98 Β· β±οΈ 28.04.2025):
```
- pip install bentoml
+ pip install coremltools
+ ```
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 96K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge coremltools
```
Core ML Tools (π₯35 Β· β 4.7K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
+BentoML (π₯35 Β· β 7.7K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 190 Β· π 660 Β· π₯ 14K Β· π¦ 4.8K Β· π 1.5K - 24% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 250 Β· π 840 Β· π₯ 450 Β· π¦ 2.6K Β· π 1.1K - 11% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/apple/coremltools
- ```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 420K / month Β· π¦ 87 Β· β±οΈ 21.01.2025):
- ```
- pip install coremltools
+ git clone https://github.com/bentoml/BentoML
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 95K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 110K / month Β· π¦ 40 Β· β±οΈ 29.04.2025):
```
- conda install -c conda-forge coremltools
+ pip install bentoml
```
TorchServe (π₯33 Β· β 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2
+TorchServe (π₯33 Β· β 4.4K) - Serve, optimize and scale PyTorch models in production. Apache-2
- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 880 Β· π₯ 7.7K Β· π¦ 860 Β· π 1.7K - 25% open Β· β±οΈ 17.03.2025):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 91K / month Β· π¦ 24 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 97K / month Β· π¦ 24 Β· β±οΈ 30.09.2024):
```
pip install torchserve
```
-- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 490K Β· β±οΈ 25.03.2025):
+- [Conda](https://anaconda.org/pytorch/torchserve) (π₯ 500K Β· β±οΈ 25.03.2025):
```
conda install -c pytorch torchserve
```
@@ -5508,12 +5535,12 @@ _Libraries to serialize models to files, convert between a variety of model form
hls4ml (π₯30 Β· β 1.5K) - Machine learning on FPGAs using HLS. Apache-2
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 68 Β· π 440 Β· π¦ 47 Β· π 470 - 42% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 69 Β· π 440 Β· π¦ 47 Β· π 480 - 42% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 2.3K / month Β· π¦ 1 Β· β±οΈ 17.03.2025):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 2.5K / month Β· π¦ 1 Β· β±οΈ 17.03.2025):
```
pip install hls4ml
```
@@ -5522,14 +5549,14 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge hls4ml
```
Hummingbird (π₯25 Β· β 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
+Hummingbird (π₯24 Β· β 3.4K Β· π€) - Hummingbird compiles trained ML models into tensor computation.. MIT
- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 280 Β· π₯ 810 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₯ 8.6K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 6.9K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
```
pip install hummingbird-ml
```
@@ -5538,14 +5565,14 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge hummingbird-ml
```
nebullvm (π₯21 Β· β 8.4K Β· π€) - A collection of libraries to optimise AI model performances. Apache-2
+nebullvm (π₯22 Β· β 8.4K Β· π€) - A collection of libraries to optimise AI model performances. Apache-2
-- [GitHub](https://github.com/nebuly-ai/optimate) (π¨βπ» 40 Β· π 630 Β· π 200 - 49% open Β· β±οΈ 22.07.2024):
+- [GitHub](https://github.com/nebuly-ai/optimate) (π¨βπ» 39 Β· π 630 Β· π 200 - 49% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 1K / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
@@ -5557,7 +5584,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/riga/tfdeploy
```
-- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 730 / month Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 460 / month Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
@@ -5571,7 +5598,7 @@ _Libraries to serialize models to files, convert between a variety of model form
- OMLT (π₯21 Β· β 310) - Represent trained machine learning models as Pyomo optimization.. βUnlicensed
- Larq Compute Engine (π₯20 Β· β 250) - Highly optimized inference engine for Binarized.. Apache-2
- pytorch2keras (π₯19 Β· β 860 Β· π) - PyTorch to Keras model convertor. MIT
-- modelkit (π₯19 Β· β 150 Β· π€) - Toolkit for developing and maintaining ML models. MIT
+- modelkit (π₯18 Β· β 150 Β· π€) - Toolkit for developing and maintaining ML models. MIT
- backprop (π₯15 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 shap (π₯42 Β· β 24K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 270 Β· π 3.4K Β· π¦ 30K Β· π 2.6K - 25% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 270 Β· π 3.4K Β· π¦ 31K Β· π 2.6K - 25% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 7.4M / month Β· π¦ 960 Β· β±οΈ 17.04.2025):
+- [PyPi](https://pypi.org/project/shap) (π₯ 7.3M / month Β· π¦ 960 Β· β±οΈ 17.04.2025):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 5.8M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 6M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge shap
```
arviz (π₯36 Β· β 1.7K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 170 Β· π 430 Β· π₯ 180 Β· π¦ 10K Β· π 890 - 21% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 170 Β· π 430 Β· π₯ 180 Β· π¦ 11K Β· π 890 - 21% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/arviz-devs/arviz
```
-- [PyPi](https://pypi.org/project/arviz) (π₯ 2M / month Β· π¦ 360 Β· β±οΈ 06.03.2025):
+- [PyPi](https://pypi.org/project/arviz) (π₯ 1.9M / month Β· π¦ 360 Β· β±οΈ 06.03.2025):
```
pip install arviz
```
-- [Conda](https://anaconda.org/conda-forge/arviz) (π₯ 2.3M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/arviz) (π₯ 2.4M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge arviz
```
Netron (π₯35 Β· β 30K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.9K Β· π₯ 50K Β· π¦ 13 Β· π 1.2K - 1% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.9K Β· π₯ 42K Β· π¦ 13 Β· π 1.2K - 1% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 43K / month Β· π¦ 86 Β· β±οΈ 16.04.2025):
+- [PyPi](https://pypi.org/project/netron) (π₯ 36K / month Β· π¦ 86 Β· β±οΈ 02.05.2025):
```
pip install netron
```
InterpretML (π₯34 Β· β 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT
+Captum (π₯35 Β· β 5.2K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 740 Β· π¦ 880 Β· π 470 - 22% open Β· β±οΈ 17.04.2025):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 130 Β· π 510 Β· π¦ 3.2K Β· π 600 - 42% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/interpretml/interpret
+ git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 190K / month Β· π¦ 53 Β· β±οΈ 26.03.2025):
+- [PyPi](https://pypi.org/project/captum) (π₯ 300K / month Β· π¦ 170 Β· β±οΈ 27.03.2025):
```
- pip install interpret
+ pip install captum
+ ```
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 120K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge captum
```
Captum (π₯34 Β· β 5.2K) - Model interpretability and understanding for PyTorch. BSD-3
+InterpretML (π₯34 Β· β 6.5K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 130 Β· π 510 Β· π¦ 3.1K Β· π 600 - 42% open Β· β±οΈ 09.04.2025):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 740 Β· π¦ 890 Β· π 470 - 22% open Β· β±οΈ 17.04.2025):
```
- git clone https://github.com/pytorch/captum
- ```
-- [PyPi](https://pypi.org/project/captum) (π₯ 290K / month Β· π¦ 170 Β· β±οΈ 27.03.2025):
- ```
- pip install captum
+ git clone https://github.com/interpretml/interpret
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 120K Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 190K / month Β· π¦ 53 Β· β±οΈ 26.03.2025):
```
- conda install -c conda-forge captum
+ pip install interpret
```
shapash (π₯31 Β· β 2.9K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
-- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 41 Β· π 340 Β· π¦ 190 Β· π 230 - 18% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 41 Β· π 340 Β· π¦ 190 Β· π 240 - 18% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 12K / month Β· π¦ 4 Β· β±οΈ 20.03.2025):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 20.03.2025):
```
pip install shapash
```
explainerdashboard (π₯31 Β· β 2.4K) - Quickly build Explainable AI dashboards that show the inner.. MIT
-- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 21 Β· π 330 Β· π¦ 620 Β· π 240 - 15% open Β· β±οΈ 29.12.2024):
+- [GitHub](https://github.com/oegedijk/explainerdashboard) (π¨βπ» 21 Β· π 340 Β· π¦ 630 Β· π 240 - 15% open Β· β±οΈ 29.12.2024):
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 72K / month Β· π¦ 13 Β· β±οΈ 29.12.2024):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 66K / month Β· π¦ 13 Β· β±οΈ 29.12.2024):
```
pip install explainerdashboard
```
-- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 64K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 65K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge explainerdashboard
```
evaluate (π₯31 Β· β 2.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 270 Β· π¦ 20K Β· π 370 - 61% open Β· β±οΈ 10.01.2025):
+- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 270 Β· π¦ 21K Β· π 370 - 61% open Β· β±οΈ 10.01.2025):
```
git clone https://github.com/huggingface/evaluate
```
-- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.8M / month Β· π¦ 400 Β· β±οΈ 11.09.2024):
+- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.9M / month Β· π¦ 400 Β· β±οΈ 11.09.2024):
```
pip install evaluate
```
fairlearn (π₯30 Β· β 2.1K) - A Python package to assess and improve fairness of machine.. MIT
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 100 Β· π 450 Β· π¦ 3 Β· π 540 - 28% open Β· β±οΈ 13.04.2025):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 100 Β· π 450 Β· π¦ 3 Β· π 540 - 28% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/fairlearn/fairlearn
@@ -5706,51 +5733,51 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install fairlearn
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 44K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 45K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge fairlearn
```
pyLDAvis (π₯30 Β· β 1.8K Β· π€) - Python library for interactive topic model visualization... BSD-3
+dtreeviz (π₯28 Β· β 3.1K) - A python library for decision tree visualization and model interpretation. MIT
-- [GitHub](https://github.com/bmabey/pyLDAvis) (π¨βπ» 42 Β· π 360 Β· π¦ 7.2K Β· π 190 - 40% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 27 Β· π 340 Β· π¦ 1.5K Β· π 210 - 34% open Β· β±οΈ 06.03.2025):
```
- git clone https://github.com/bmabey/pyLDAvis
+ git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 140K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 100K / month Β· π¦ 53 Β· β±οΈ 07.07.2022):
```
- pip install pyldavis
+ pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/pyldavis) (π₯ 94K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 100K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pyldavis
+ conda install -c conda-forge dtreeviz
```
DoWhy (π₯28 Β· β 7.4K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
+DoWhy (π₯27 Β· β 7.5K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 100 Β· π 940 Β· π₯ 43 Β· π¦ 580 Β· π 490 - 27% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 100 Β· π 940 Β· π₯ 43 Β· π¦ 590 Β· π 490 - 27% open Β· β±οΈ 21.04.2025):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 47K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 46K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
```
pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 42K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 43K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge dowhy
```
LIT (π₯28 Β· β 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
+LIT (π₯27 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¦ 45 Β· π 210 - 57% open Β· β±οΈ 20.12.2024):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 6.9K / month Β· π¦ 3 Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 5.6K / month Β· π¦ 3 Β· β±οΈ 20.12.2024):
```
pip install lit-nlp
```
@@ -5759,46 +5786,30 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge lit-nlp
```
dtreeviz (π₯28 Β· β 3K) - A python library for decision tree visualization and model interpretation. MIT
+Fairness 360 (π₯27 Β· β 2.6K) - A comprehensive set of fairness metrics for datasets and.. Apache-2
-- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 27 Β· π 340 Β· π¦ 1.5K Β· π 210 - 34% open Β· β±οΈ 06.03.2025):
+- [GitHub](https://github.com/Trusted-AI/AIF360) (π¨βπ» 73 Β· π 850 Β· π¦ 660 Β· π 300 - 65% open Β· β±οΈ 10.12.2024):
```
- git clone https://github.com/parrt/dtreeviz
+ git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 110K / month Β· π¦ 53 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 31K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
```
- pip install dtreeviz
+ pip install aif360
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 100K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 23K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge dtreeviz
- ```
-Fairness 360 (π₯27 Β· β 2.6K) - 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¦ 650 Β· π 300 - 65% open Β· β±οΈ 10.12.2024):
-
- ```
- git clone https://github.com/Trusted-AI/AIF360
- ```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 34K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
- ```
- pip install aif360
- ```
-- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 22K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge aif360
+ conda install -c conda-forge aif360
```
Model Analysis (π₯27 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 97 - 39% open Β· β±οΈ 31.03.2025):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 59 Β· π 280 Β· π 97 - 39% open Β· β±οΈ 28.04.2025):
```
git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 90K / month Β· π¦ 19 Β· β±οΈ 05.12.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 76K / month Β· π¦ 19 Β· β±οΈ 05.12.2024):
```
pip install tensorflow-model-analysis
```
@@ -5810,35 +5821,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 9K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 9.1K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
```
pip install raiwidgets
```
imodels (π₯25 Β· β 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT
+imodels (π₯25 Β· β 1.5K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 25 Β· π 120 Β· π¦ 110 Β· π 95 - 38% open Β· β±οΈ 05.03.2025):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 25 Β· π 120 Β· π¦ 120 Β· π 95 - 38% open Β· β±οΈ 05.03.2025):
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 33K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 40K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
```
pip install imodels
```
Explainability 360 (π₯24 Β· β 1.7K) - Interpretability and explainability of data and.. Apache-2
-
-- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 42 Β· π 300 Β· π¦ 120 Β· π 86 - 62% open Β· β±οΈ 26.02.2025):
-
- ```
- git clone https://github.com/Trusted-AI/AIX360
- ```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
- ```
- pip install aix360
- ```
-keract (π₯24 Β· β 1.1K) - Layers Outputs and Gradients in Keras. Made easy. MIT
- [GitHub](https://github.com/philipperemy/keract) (π¨βπ» 17 Β· π 190 Β· π¦ 250 Β· π 89 - 3% open Β· β±οΈ 07.04.2025):
@@ -5846,7 +5845,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 6.5K / month Β· π¦ 7 Β· β±οΈ 07.04.2025):
+- [PyPi](https://pypi.org/project/keract) (π₯ 5K / month Β· π¦ 7 Β· β±οΈ 07.04.2025):
```
pip install keract
```
@@ -5858,7 +5857,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 23K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 21K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
```
pip install aequitas
```
@@ -5870,15 +5869,27 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 1K / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
pip install ecco
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 6.6K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 6.7K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge ecco
```
Explainability 360 (π₯23 Β· β 1.7K) - Interpretability and explainability of data and.. Apache-2
+
+- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 42 Β· π 300 Β· π¦ 130 Β· π 86 - 62% open Β· β±οΈ 26.02.2025):
+
+ ```
+ git clone https://github.com/Trusted-AI/AIX360
+ ```
+- [PyPi](https://pypi.org/project/aix360) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+ ```
+ pip install aix360
+ ```
+random-forest-importances (π₯22 Β· β 610) - Code to compute permutation and drop-column.. MIT
- [GitHub](https://github.com/parrt/random-forest-importances) (π¨βπ» 16 Β· π 130 Β· π¦ 180 Β· π 39 - 20% open Β· β±οΈ 24.03.2025):
@@ -5898,33 +5909,33 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/interpretml/DiCE
```
-- [PyPi](https://pypi.org/project/dice-ml) (π₯ 36K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 33K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
```
pip install dice-ml
```
LOFO (π₯20 Β· β 830) - Leave One Feature Out Importance. MIT
+fairness-indicators (π₯20 Β· β 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
-- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 87 Β· π¦ 40 Β· π 30 - 13% open Β· β±οΈ 14.02.2025):
+- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 36 Β· π 83 Β· π 39 - 74% open Β· β±οΈ 22.01.2025):
```
- git clone https://github.com/aerdem4/lofo-importance
+ git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 2.4K / month Β· π¦ 5 Β· β±οΈ 14.02.2025):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.7K / month Β· β±οΈ 22.01.2025):
```
- pip install lofo-importance
+ pip install fairness-indicators
```
fairness-indicators (π₯19 Β· β 350) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
+LOFO (π₯19 Β· β 830) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 36 Β· π 81 Β· π 39 - 74% open Β· β±οΈ 22.01.2025):
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 87 Β· π¦ 40 Β· π 30 - 13% open Β· β±οΈ 14.02.2025):
```
- git clone https://github.com/tensorflow/fairness-indicators
+ git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 2.8K / month Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 14.02.2025):
```
- pip install fairness-indicators
+ pip install lofo-importance
```
ExplainX.ai (π₯16 Β· β 430 Β· π€) - Explainable AI framework for data scientists. Explain & debug any.. MIT
@@ -5934,14 +5945,15 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 1.6K / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 1.4K / month Β· β±οΈ 04.02.2021):
```
pip install explainx
```
Show 29 hidden projects...
+Show 30 hidden projects...
- Lime (π₯33 Β· β 12K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
+- pyLDAvis (π₯30 Β· β 1.8K Β· π) - Python library for interactive topic model visualization... BSD-3 Apache-2 βοΈAGPL-3.0
- eli5 (π₯28 Β· β 2.8K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
@@ -5956,12 +5968,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- What-If Tool (π₯23 Β· β 950 Β· π) - Source code/webpage/demos for the What-If Tool. Apache-2
- TreeInterpreter (π₯23 Β· β 760 Β· π) - Package for interpreting scikit-learns decision tree.. BSD-3 MIT βοΈGPL-3.0
- deeplift (π₯21 Β· β 850 Β· π) - Public facing deeplift repo. MIT
+- Quantus (π₯21 Β· β 600) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. βοΈGPL-3.0
- tcav (π₯20 Β· β 640 Β· π) - Code for the TCAV ML interpretability project. Apache-2 MIT
- model-card-toolkit (π₯18 Β· β 430 Β· π) - A toolkit that streamlines and automates the.. Apache-2
-- effector (π₯18 Β· β 86) - Effector - a Python package for global and regional effect methods. MIT
+- effector (π₯18 Β· β 88) - Effector - a Python package for global and regional effect methods. MIT
- sklearn-evaluation (π₯17 Β· β 460 Β· π) - Machine learning model evaluation made easy: plots,.. MIT BSD-2
- FlashTorch (π₯16 Β· β 740 Β· π) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT Milvus (π₯42 Β· β 34K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2
+Faiss (π₯41 Β· β 35K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 310 Β· π 3.2K Β· π₯ 340K Β· π 13K - 5% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 220 Β· π 3.8K Β· π¦ 4.8K Β· π 2.6K - 9% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/milvus-io/milvus
+ git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.8M / month Β· π¦ 250 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.8M / month Β· π¦ 260 Β· β±οΈ 28.04.2025):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 69M Β· β 78 Β· β±οΈ 24.04.2025):
+- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 2.5M Β· β±οΈ 22.04.2025):
```
- docker pull milvusdb/milvus
+ conda install -c conda-forge faiss
```
Faiss (π₯41 Β· β 35K) - A library for efficient similarity search and clustering of dense vectors. MIT
+Milvus (π₯41 Β· β 35K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 220 Β· π 3.8K Β· π¦ 4.7K Β· π 2.6K - 9% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 310 Β· π 3.2K Β· π₯ 350K Β· π 13K - 5% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/facebookresearch/faiss
+ git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.8M / month Β· π¦ 250 Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.8M / month Β· π¦ 260 Β· β±οΈ 28.04.2025):
```
pip install pymilvus
```
-- [Conda](https://anaconda.org/conda-forge/faiss) (π₯ 2.5M Β· β±οΈ 22.04.2025):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 69M Β· β 80 Β· β±οΈ 08.05.2025):
```
- conda install -c conda-forge faiss
+ docker pull milvusdb/milvus
```
Annoy (π₯35 Β· β 14K Β· π€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2
-- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.2K Β· π¦ 5K Β· π 410 - 15% open Β· β±οΈ 29.07.2024):
+- [GitHub](https://github.com/spotify/annoy) (π¨βπ» 88 Β· π 1.2K Β· π¦ 5.1K Β· π 410 - 15% open Β· β±οΈ 29.07.2024):
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 800K / month Β· π¦ 200 Β· β±οΈ 14.06.2023):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 760K / month Β· π¦ 200 Β· β±οΈ 14.06.2023):
```
pip install annoy
```
-- [Conda](https://anaconda.org/conda-forge/python-annoy) (π₯ 670K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/python-annoy) (π₯ 680K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge python-annoy
```
hnswlib (π₯32 Β· β 4.7K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
-- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 680 Β· π¦ 7.9K Β· π 420 - 60% open Β· β±οΈ 17.06.2024):
+- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 680 Β· π¦ 8K Β· π 420 - 60% open Β· β±οΈ 17.06.2024):
```
git clone https://github.com/nmslib/hnswlib
@@ -6052,7 +6064,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/nmslib) (π₯ 380K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
+- [PyPi](https://pypi.org/project/nmslib) (π₯ 370K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
```
pip install nmslib
```
@@ -6063,16 +6075,16 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
USearch (π₯31 Β· β 2.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 70 Β· π 180 Β· π₯ 64K Β· π¦ 180 Β· π 210 - 42% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 70 Β· π 180 Β· π₯ 66K Β· π¦ 180 Β· π 210 - 42% open Β· β±οΈ 16.04.2025):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 180K / month Β· π¦ 35 Β· β±οΈ 16.04.2025):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 160K / month Β· π¦ 35 Β· β±οΈ 16.04.2025):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 9.2K / month Β· π¦ 15 Β· β±οΈ 23.01.2025):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 8K / month Β· π¦ 15 Β· β±οΈ 23.01.2025):
```
npm install usearch
```
@@ -6083,12 +6095,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (π₯28 Β· β 920) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 30 Β· π 110 Β· π¦ 11K Β· π 140 - 52% open Β· β±οΈ 10.11.2024):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 30 Β· π 110 Β· π¦ 12K Β· π 140 - 52% open Β· β±οΈ 10.11.2024):
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.6M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.5M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
```
pip install pynndescent
```
@@ -6099,7 +6111,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
NGT (π₯24 Β· β 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2
-- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 18 Β· π 120 Β· π 140 - 15% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/yahoojapan/NGT) (π¨βπ» 19 Β· π 120 Β· π 140 - 15% open Β· β±οΈ 30.04.2025):
```
git clone https://github.com/yahoojapan/NGT
@@ -6112,8 +6124,8 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Show 4 hidden projects...
- NearPy (π₯21 Β· β 770 Β· π) - Python framework for fast (approximated) nearest neighbour search in.. MIT
+- N2 (π₯21 Β· β 580 Β· π) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2
- Magnitude (π₯20 Β· β 1.6K Β· π) - A fast, efficient universal vector embedding utility package. MIT
-- N2 (π₯20 Β· β 580 Β· π) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2
- PySparNN (π₯11 Β· β 920 Β· π) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3
@@ -6126,12 +6138,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯41 Β· β 9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 510 Β· π 2.1K Β· π₯ 2K Β· π¦ 6.6K Β· π 3.5K - 10% open Β· β±οΈ 20.04.2025):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 520 Β· π 2.1K Β· π₯ 2K Β· π¦ 6.9K Β· π 3.5K - 10% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/pymc-devs/pymc
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 310K / month Β· π¦ 190 Β· β±οΈ 31.05.2024):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 290K / month Β· π¦ 190 Β· β±οΈ 31.05.2024):
```
pip install pymc3
```
@@ -6140,9 +6152,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pymc3
```
tensorflow-probability (π₯37 Β· β 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2
+tensorflow-probability (π₯36 Β· β 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 3 Β· π 1.5K - 48% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 500 Β· π 1.1K Β· π¦ 4 Β· π 1.5K - 48% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/tensorflow/probability
@@ -6151,40 +6163,40 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 170K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 180K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tensorflow-probability
```
pgmpy (π₯34 Β· β 2.9K) - Python Library for learning (Structure and Parameter), inference.. MIT
+pgmpy (π₯34 Β· β 2.9K) - Python Library for Causal and Probabilistic Modeling using Bayesian Networks. MIT
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 140 Β· π 730 Β· π₯ 600 Β· π¦ 1.6K Β· π 1K - 30% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 150 Β· π 740 Β· π₯ 610 Β· π¦ 1.6K Β· π 1K - 29% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 150K / month Β· π¦ 72 Β· β±οΈ 31.03.2025):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 140K / month Β· π¦ 72 Β· β±οΈ 31.03.2025):
```
pip install pgmpy
```
Pyro (π₯33 Β· β 8.7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 990 Β· π 1.1K - 23% open Β· β±οΈ 14.04.2025):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 990 Β· π 1.1K - 23% open Β· β±οΈ 24.04.2025):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 390K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 410K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
```
pip install pyro-ppl
```
-- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 230K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 240K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pyro-ppl
```
patsy (π₯33 Β· β 970) - Describing statistical models in Python using symbolic formulas. BSD-2
+patsy (π₯32 Β· β 970) - Describing statistical models in Python using symbolic formulas. BSD-2
- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 22 Β· π 100 Β· π¦ 120K Β· π 160 - 46% open Β· β±οΈ 24.02.2025):
@@ -6195,103 +6207,103 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install patsy
```
-- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 15M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/patsy) (π₯ 16M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge patsy
```
pandas-ta (π₯32 Β· β 6K Β· π€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
+GPyTorch (π₯31 Β· β 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
-- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 1.2K Β· π¦ 5.3K Β· π 720 - 14% open Β· β±οΈ 24.06.2024):
+- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 140 Β· π 560 Β· π¦ 2.9K Β· π 1.4K - 27% open Β· β±οΈ 07.02.2025):
```
- git clone https://github.com/twopirllc/pandas-ta
+ git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 180K / month Β· π¦ 140 Β· β±οΈ 28.07.2021):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 350K / month Β· π¦ 190 Β· β±οΈ 29.01.2025):
```
- pip install pandas-ta
+ pip install gpytorch
```
-- [Conda](https://anaconda.org/conda-forge/pandas-ta) (π₯ 26K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/gpytorch) (π₯ 200K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pandas-ta
+ conda install -c conda-forge gpytorch
```
GPyTorch (π₯31 Β· β 3.7K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
+GPflow (π₯30 Β· β 1.9K) - Gaussian processes in TensorFlow. Apache-2
-- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 140 Β· π 560 Β· π¦ 2.8K Β· π 1.4K - 27% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 760 Β· π 840 - 18% open Β· β±οΈ 29.01.2025):
```
- git clone https://github.com/cornellius-gp/gpytorch
+ git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 290K / month Β· π¦ 190 Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 98K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
```
- pip install gpytorch
+ pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpytorch) (π₯ 200K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 44K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge gpytorch
+ conda install -c conda-forge gpflow
```
hmmlearn (π₯30 Β· β 3.2K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
+emcee (π₯29 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
-- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 49 Β· π 740 Β· π¦ 3.4K Β· π 450 - 15% open Β· β±οΈ 31.10.2024):
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 75 Β· π 430 Β· π¦ 3K Β· π 300 - 19% open Β· β±οΈ 16.03.2025):
```
- git clone https://github.com/hmmlearn/hmmlearn
+ git clone https://github.com/dfm/emcee
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 160K / month Β· π¦ 92 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/emcee) (π₯ 140K / month Β· π¦ 440 Β· β±οΈ 19.04.2024):
```
- pip install hmmlearn
+ pip install emcee
```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 360K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 410K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge hmmlearn
+ conda install -c conda-forge emcee
```
emcee (π₯30 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
+pomegranate (π₯28 Β· β 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 75 Β· π 430 Β· π¦ 2.9K Β· π 300 - 19% open Β· β±οΈ 16.03.2025):
+- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 75 Β· π 590 Β· π 790 - 3% open Β· β±οΈ 07.02.2025):
```
- git clone https://github.com/dfm/emcee
+ git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 150K / month Β· π¦ 440 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 27K / month Β· π¦ 67 Β· β±οΈ 07.02.2025):
```
- pip install emcee
+ pip install pomegranate
```
-- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 400K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 210K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge emcee
+ conda install -c conda-forge pomegranate
```
GPflow (π₯29 Β· β 1.9K) - Gaussian processes in TensorFlow. Apache-2
+hmmlearn (π₯28 Β· β 3.2K Β· π€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3
-- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 750 Β· π 840 - 18% open Β· β±οΈ 29.01.2025):
+- [GitHub](https://github.com/hmmlearn/hmmlearn) (π¨βπ» 49 Β· π 740 Β· π 450 - 15% open Β· β±οΈ 31.10.2024):
```
- git clone https://github.com/GPflow/GPflow
+ git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 70K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 150K / month Β· π¦ 92 Β· β±οΈ 31.10.2024):
```
- pip install gpflow
+ pip install hmmlearn
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 43K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 370K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge gpflow
+ conda install -c conda-forge hmmlearn
```
bambi (π₯28 Β· β 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
+bambi (π₯28 Β· β 1.2K) - BAyesian Model-Building Interface (Bambi) in Python. MIT
-- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 47 Β· π 130 Β· π¦ 200 Β· π 440 - 20% open Β· β±οΈ 16.04.2025):
+- [GitHub](https://github.com/bambinos/bambi) (π¨βπ» 47 Β· π 130 Β· π¦ 200 Β· π 440 - 20% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 38K / month Β· π¦ 14 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 34K / month Β· π¦ 14 Β· β±οΈ 21.12.2024):
```
pip install bambi
```
-- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 47K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/bambi) (π₯ 48K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge bambi
```
@@ -6303,11 +6315,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 260K / month Β· π¦ 130 Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/salib) (π₯ 290K / month Β· π¦ 130 Β· β±οΈ 19.08.2024):
```
pip install salib
```
-- [Conda](https://anaconda.org/conda-forge/salib) (π₯ 210K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/salib) (π₯ 220K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge salib
```
@@ -6319,7 +6331,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/stan-dev/pystan
```
-- [PyPi](https://pypi.org/project/pystan) (π₯ 860K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
+- [PyPi](https://pypi.org/project/pystan) (π₯ 850K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
```
pip install pystan
```
@@ -6328,23 +6340,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pystan
```
pomegranate (π₯27 Β· β 3.4K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-
-- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 75 Β· π 590 Β· π 790 - 3% open Β· β±οΈ 07.02.2025):
-
- ```
- git clone https://github.com/jmschrei/pomegranate
- ```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 29K / month Β· π¦ 67 Β· β±οΈ 07.02.2025):
- ```
- pip install pomegranate
- ```
-- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 200K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge pomegranate
- ```
-scikit-posthocs (π₯27 Β· β 360) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
+scikit-posthocs (π₯27 Β· β 370) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 16 Β· π 40 Β· π₯ 66 Β· π¦ 1.1K Β· π 72 - 6% open Β· β±οΈ 16.04.2025):
@@ -6362,28 +6358,44 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (π₯24 Β· β 2K Β· π€) - A Python package for Bayesian forecasting with object-oriented.. Apache-2
-- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 68 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
+- [GitHub](https://github.com/uber/orbit) (π¨βπ» 20 Β· π 140 Β· π¦ 70 Β· π 400 - 12% open Β· β±οΈ 10.07.2024):
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 20K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
pip install orbit-ml
```
TorchUncertainty (π₯23 Β· β 380) - Open-source framework for uncertainty and deep.. Apache-2
+TorchUncertainty (π₯23 Β· β 390) - Open-source framework for uncertainty and deep.. Apache-2
-- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (π¨βπ» 12 Β· π 28 Β· π 50 - 28% open Β· β±οΈ 20.03.2025):
+- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (π¨βπ» 12 Β· π 30 Β· π 51 - 29% open Β· β±οΈ 20.03.2025):
```
git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty
```
-- [PyPi](https://pypi.org/project/torch-uncertainty) (π₯ 1.4K / month Β· π¦ 4 Β· β±οΈ 20.03.2025):
+- [PyPi](https://pypi.org/project/torch-uncertainty) (π₯ 1.2K / month Β· π¦ 4 Β· β±οΈ 20.03.2025):
```
pip install torch-uncertainty
```
pandas-ta (π₯22 Β· β 5.5K Β· π) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
+
+- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 40 Β· π 1.1K):
+
+ ```
+ git clone https://github.com/twopirllc/pandas-ta
+ ```
+- [PyPi](https://pypi.org/project/pandas-ta) (π₯ 190K / month Β· π¦ 140 Β· β±οΈ 28.07.2021):
+ ```
+ pip install pandas-ta
+ ```
+- [Conda](https://anaconda.org/conda-forge/pandas-ta) (π₯ 26K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge pandas-ta
+ ```
+Baal (π₯22 Β· β 900 Β· π€) - Bayesian active learning library for research and industrial usecases. Apache-2
- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 23 Β· π 87 Β· π¦ 66 Β· π 110 - 17% open Β· β±οΈ 27.06.2024):
@@ -6395,27 +6407,27 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install baal
```
-- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 12K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 13K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge baal
```
pyhsmm (π₯20 Β· β 560) - Bayesian inference in HSMMs and HMMs. MIT
+pyhsmm (π₯21 Β· β 560) - Bayesian inference in HSMMs and HMMs. MIT
-- [GitHub](https://github.com/mattjj/pyhsmm) (π¨βπ» 14 Β· π 170 Β· π¦ 34 Β· π 100 - 39% open Β· β±οΈ 25.01.2025):
+- [GitHub](https://github.com/mattjj/pyhsmm) (π¨βπ» 14 Β· π 170 Β· π¦ 35 Β· π 100 - 39% open Β· β±οΈ 25.01.2025):
```
git clone https://github.com/mattjj/pyhsmm
```
-- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 320 / month Β· π¦ 1 Β· β±οΈ 10.05.2017):
+- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 310 / month Β· π¦ 1 Β· β±οΈ 10.05.2017):
```
pip install pyhsmm
```
Show 5 hidden projects...
-- filterpy (π₯32 Β· β 3.5K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
-- pingouin (π₯30 Β· β 1.7K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
+- filterpy (π₯32 Β· β 3.6K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
+- pingouin (π₯30 Β· β 1.8K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- Edward (π₯28 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 Apache-2 MIT ART (π₯32 Β· β 5.2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
+ART (π₯31 Β· β 5.2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
-- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 710 Β· π 900 - 2% open Β· β±οΈ 28.02.2025):
+- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (π¨βπ» 140 Β· π 1.2K Β· π¦ 720 Β· π 900 - 2% open Β· β±οΈ 28.02.2025):
```
git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox
@@ -6439,19 +6451,19 @@ _Libraries for testing the robustness of machine learning models against attacks
```
pip install adversarial-robustness-toolbox
```
-- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 70K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 71K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
TextAttack (π₯29 Β· β 3.1K Β· π€) - TextAttack is a Python framework for adversarial attacks, data.. MIT
+TextAttack (π₯28 Β· β 3.2K Β· π€) - TextAttack is a Python framework for adversarial attacks, data.. MIT
-- [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 66 Β· π 400 Β· π¦ 380 Β· π 290 - 23% open Β· β±οΈ 25.07.2024):
+- [GitHub](https://github.com/QData/TextAttack) (π¨βπ» 66 Β· π 400 Β· π¦ 400 Β· π 290 - 23% open Β· β±οΈ 25.07.2024):
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 8.1K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 7.7K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
```
pip install textattack
```
@@ -6465,7 +6477,7 @@ _Libraries for testing the robustness of machine learning models against attacks
- CleverHans (π₯30 Β· β 6.3K Β· π) - An adversarial example library for constructing attacks,.. MIT MIT
- advertorch (π₯24 Β· β 1.3K Β· π) - A Toolbox for Adversarial Robustness Research. βοΈGPL-3.0 MIT
+- robustness (π₯21 Β· β 930 Β· π) - A library for experimenting with, training and evaluating neural.. MIT
- AdvBox (π₯19 Β· β 1.4K Β· π) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
- textflint (π₯17 Β· β 640 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
- Adversary (π₯16 Β· β 400 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
@@ -6480,80 +6492,68 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (π₯35 Β· β 8.9K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 940 Β· π¦ 62 Β· π 6.9K - 15% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 940 Β· π¦ 62 Β· π 6.9K - 15% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 3.7K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 3.4K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
optimum (π₯35 Β· β 2.9K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 140 Β· π 520 Β· π¦ 5.3K Β· π 890 - 44% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 140 Β· π 520 Β· π¦ 5.5K Β· π 910 - 43% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 1.3M / month Β· π¦ 200 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 1.5M / month Β· π¦ 200 Β· β±οΈ 30.01.2025):
```
pip install optimum
```
-- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 37K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 38K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge optimum
```
Apex (π₯32 Β· β 8.6K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.4K Β· π¦ 3.1K Β· π 1.3K - 58% open Β· β±οΈ 11.04.2025):
-
- ```
- git clone https://github.com/NVIDIA/apex
- ```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 480K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge nvidia-apex
- ```
-cuML (π₯32 Β· β 4.7K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 570 Β· π 2.7K - 36% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 570 Β· π 2.7K - 36% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 4.6K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 4.2K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
PyCUDA (π₯31 Β· β 1.9K) - CUDA integration for Python, plus shiny features. MIT
+PyCUDA (π₯32 Β· β 1.9K) - CUDA integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 82 Β· π 290 Β· π¦ 3.7K Β· π 280 - 30% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 82 Β· π 290 Β· π¦ 3.7K Β· π 280 - 30% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 78K / month Β· π¦ 170 Β· β±οΈ 07.02.2025):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 79K / month Β· π¦ 170 Β· β±οΈ 07.02.2025):
```
pip install pycuda
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 950K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 970K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pycuda
```
gpustat (π₯29 Β· β 4.2K) - A simple command-line utility for querying and monitoring GPU status. MIT
-- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 7.2K Β· π 130 - 22% open Β· β±οΈ 13.04.2025):
+- [GitHub](https://github.com/wookayin/gpustat) (π¨βπ» 17 Β· π 280 Β· π¦ 7.3K Β· π 130 - 22% open Β· β±οΈ 13.04.2025):
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 690K / month Β· π¦ 150 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 720K / month Β· π¦ 150 Β· β±οΈ 22.08.2023):
```
pip install gpustat
```
@@ -6569,7 +6569,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 3.3K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 2.8K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
@@ -6581,38 +6581,50 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/cupy/cupy
```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 36K / month Β· π¦ 350 Β· β±οΈ 04.04.2025):
+- [PyPi](https://pypi.org/project/cupy) (π₯ 30K / month Β· π¦ 350 Β· β±οΈ 04.04.2025):
```
pip install cupy
```
-- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 6.2M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 6.3M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge cupy
```
-- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 81K Β· β 13 Β· β±οΈ 04.04.2025):
+- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (π₯ 82K Β· β 13 Β· β±οΈ 04.04.2025):
```
docker pull cupy/cupy
```
Apex (π₯27 Β· β 8.6K Β· π) - A PyTorch Extension: Tools for easy mixed precision and.. BSD-3
+
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.4K Β· π 1.3K - 58% open Β· β±οΈ 07.05.2025):
+
+ ```
+ git clone https://github.com/NVIDIA/apex
+ ```
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 490K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge nvidia-apex
+ ```
+cuGraph (π₯27 Β· β 2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 320 Β· π 1.8K - 9% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 330 Β· π 1.8K - 9% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 380 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 370 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
-- [Conda](https://anaconda.org/conda-forge/libcugraph) (π₯ 29K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/libcugraph) (π₯ 30K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge libcugraph
```
DALI (π₯25 Β· β 5.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 96 Β· π 630 Β· π 1.7K - 14% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 98 Β· π 630 Β· π 1.7K - 14% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/NVIDIA/DALI
@@ -6620,24 +6632,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Vulkan Kompute (π₯23 Β· β 2.2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 32 Β· π 160 Β· π₯ 640 Β· π 220 - 32% open Β· β±οΈ 19.03.2025):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 32 Β· π 160 Β· π₯ 640 Β· π 230 - 32% open Β· β±οΈ 19.03.2025):
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 560 / month Β· β±οΈ 20.01.2024):
+- [PyPi](https://pypi.org/project/kp) (π₯ 490 / month Β· β±οΈ 20.01.2024):
```
pip install kp
```
Merlin (π₯20 Β· β 820 Β· π€) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
+Merlin (π₯20 Β· β 830 Β· π€) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 120 Β· π 460 - 46% open Β· β±οΈ 22.07.2024):
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 25K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 21K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
@@ -6661,14 +6673,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
_Libraries that extend TensorFlow with additional capabilities._
-TensorFlow Datasets (π₯38 Β· β 4.4K Β· π) - TFDS is a collection of datasets ready to use with.. Apache-2
+TensorFlow Datasets (π₯38 Β· β 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 490 Β· π 1.6K Β· π¦ 23K Β· π 1.5K - 47% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 510 Β· π 1.6K Β· π¦ 24K Β· π 1.5K - 47% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.6M / month Β· π¦ 340 Β· β±οΈ 12.03.2025):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.5M / month Β· π¦ 340 Β· β±οΈ 12.03.2025):
```
pip install tensorflow-datasets
```
@@ -6679,12 +6691,12 @@ _Libraries that extend TensorFlow with additional capabilities._
tensorflow-hub (π₯33 Β· β 3.5K) - A library for transfer learning by reusing parts of.. Apache-2
-- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 710 - 1% open Β· β±οΈ 17.01.2025):
+- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 710 - 2% open Β· β±οΈ 17.01.2025):
```
git clone https://github.com/tensorflow/hub
```
-- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 2M / month Β· π¦ 300 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 1.9M / month Β· π¦ 300 Β· β±οΈ 30.01.2024):
```
pip install tensorflow-hub
```
@@ -6700,23 +6712,11 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 44K / month Β· π¦ 17 Β· β±οΈ 11.12.2024):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 38K / month Β· π¦ 17 Β· β±οΈ 11.12.2024):
```
pip install tfx
```
TF Addons (π₯32 Β· β 1.7K Β· π€) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/addons) (π¨βπ» 210 Β· π 610 Β· π 990 - 9% open Β· β±οΈ 15.04.2024):
-
- ```
- git clone https://github.com/tensorflow/addons
- ```
-- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 1.1M / month Β· π¦ 370 Β· β±οΈ 28.11.2023):
- ```
- pip install tensorflow-addons
- ```
-TensorFlow I/O (π₯30 Β· β 720) - Dataset, streaming, and file system extensions.. Apache-2
- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 120 Β· π 290 Β· π 660 - 44% open Β· β±οΈ 10.04.2025):
@@ -6724,79 +6724,80 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 770K / month Β· π¦ 61 Β· β±οΈ 01.07.2024):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 720K / month Β· π¦ 61 Β· β±οΈ 01.07.2024):
```
pip install tensorflow-io
```
TF Model Optimization (π₯28 Β· β 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2
+TF Model Optimization (π₯27 Β· β 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2
- [GitHub](https://github.com/tensorflow/model-optimization) (π¨βπ» 87 Β· π 320 Β· π 400 - 57% open Β· β±οΈ 10.02.2025):
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 250K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 990K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
```
pip install tensorflow-model-optimization
```
TensorFlow Transform (π₯25 Β· β 990) - Input pipeline framework. Apache-2
-- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 29 Β· π 220 Β· π 220 - 17% open Β· β±οΈ 17.03.2025):
+- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 29 Β· π 220 Β· π 220 - 17% open Β· β±οΈ 30.04.2025):
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 240K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 210K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
```
pip install tensorflow-transform
```
Neural Structured Learning (π₯23 Β· β 990) - Training neural models with structured signals. Apache-2
+Neural Structured Learning (π₯24 Β· β 1K) - Training neural models with structured signals. Apache-2
- [GitHub](https://github.com/tensorflow/neural-structured-learning) (π¨βπ» 39 Β· π 190 Β· π¦ 510 Β· π 69 - 1% open Β· β±οΈ 29.01.2025):
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 5.5K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 5.3K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
pip install neural-structured-learning
```
TF Compression (π₯20 Β· β 880) - Data compression in TensorFlow. Apache-2
+TensorFlow Cloud (π₯21 Β· β 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2
-- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 24 Β· π 250 Β· π 100 - 10% open Β· β±οΈ 15.04.2025):
+- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 28 Β· π 90 Β· π 100 - 73% open Β· β±οΈ 29.01.2025):
```
- git clone https://github.com/tensorflow/compression
+ git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 3.7K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 35K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
- pip install tensorflow-compression
+ pip install tensorflow-cloud
```
TensorFlow Cloud (π₯20 Β· β 380) - The TensorFlow Cloud repository provides APIs that.. Apache-2
+TF Compression (π₯20 Β· β 880) - Data compression in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 28 Β· π 90 Β· π 100 - 73% open Β· β±οΈ 29.01.2025):
+- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 24 Β· π 250 Β· π 100 - 10% open Β· β±οΈ 29.04.2025):
```
- git clone https://github.com/tensorflow/cloud
+ git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 37K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 3.3K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
```
- pip install tensorflow-cloud
+ pip install tensorflow-compression
```
Show 6 hidden projects...
+Show 7 hidden projects...
- tensor2tensor (π₯33 Β· β 16K Β· π) - Library of deep learning models and datasets designed.. Apache-2 Apache-2 MIT Apache-2 Apache-2 MIT MIT MIT
@@ -6808,12 +6809,12 @@ _Libraries that extend Jax with additional capabilities._
equinox (π₯31 Β· β 2.3K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 65 Β· π 160 Β· π¦ 1.2K Β· π 540 - 34% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 66 Β· π 160 Β· π¦ 1.2K Β· π 540 - 34% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/patrick-kidger/equinox
```
-- [PyPi](https://pypi.org/project/equinox) (π₯ 290K / month Β· π¦ 230 Β· β±οΈ 27.03.2025):
+- [PyPi](https://pypi.org/project/equinox) (π₯ 280K / month Β· π¦ 230 Β· β±οΈ 27.03.2025):
```
pip install equinox
```
@@ -6825,18 +6826,18 @@ _Libraries that extend Jax with additional capabilities._
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 1.3K / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 1.4K / month Β· π¦ 6 Β· β±οΈ 18.06.2024):
```
pip install evojax
```
-- [Conda](https://anaconda.org/conda-forge/evojax) (π₯ 37K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/evojax) (π₯ 38K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge evojax
```
Show 1 hidden projects...
-- jaxdf (π₯11 Β· β 120 Β· π€) - A JAX-based research framework for writing differentiable.. βοΈLGPL-3.0 βοΈLGPL-3.0
@@ -6848,12 +6849,12 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (π₯35 Β· β 5K) - A library of extension and helper modules for Pythons data analysis.. BSD-3
-- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 880 Β· π¦ 19K Β· π 500 - 29% open Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 880 Β· π¦ 20K Β· π 500 - 29% open Β· β±οΈ 26.01.2025):
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 690K / month Β· π¦ 200 Β· β±οΈ 26.01.2025):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 710K / month Β· π¦ 200 Β· β±οΈ 26.01.2025):
```
pip install mlxtend
```
@@ -6864,16 +6865,16 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (π₯35 Β· β 1.3K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2
-- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (π¨βπ» 85 Β· π 180 Β· π¦ 13K Β· π 250 - 20% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (π¨βπ» 85 Β· π 180 Β· π¦ 14K Β· π 250 - 20% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 76K / month Β· π¦ 65 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 83K / month Β· π¦ 65 Β· β±οΈ 22.04.2025):
```
pip install scikit-learn-intelex
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 510K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 530K Β· β±οΈ 05.05.2025):
```
conda install -c conda-forge scikit-learn-intelex
```
@@ -6894,14 +6895,14 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge imbalanced-learn
```
category_encoders (π₯32 Β· β 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
+category_encoders (π₯33 Β· β 2.4K) - A library of sklearn compatible categorical variable.. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 71 Β· π 400 Β· π¦ 3.4K Β· π 300 - 14% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (π¨βπ» 71 Β· π 400 Β· π¦ 3.7K Β· π 300 - 14% open Β· β±οΈ 24.03.2025):
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 2M / month Β· π¦ 310 Β· β±οΈ 15.03.2025):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.8M / month Β· π¦ 310 Β· β±οΈ 15.03.2025):
```
pip install category_encoders
```
@@ -6910,42 +6911,42 @@ _Libraries that extend scikit-learn with additional capabilities._
conda install -c conda-forge category_encoders
```
scikit-lego (π₯27 Β· β 1.3K Β· π) - Extra blocks for scikit-learn pipelines. MIT
+scikit-lego (π₯27 Β· β 1.3K) - Extra blocks for scikit-learn pipelines. MIT
-- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 68 Β· π 120 Β· π¦ 180 Β· π 340 - 11% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 68 Β· π 120 Β· π¦ 180 Β· π 340 - 10% open Β· β±οΈ 30.04.2025):
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 29K / month Β· π¦ 13 Β· β±οΈ 17.12.2024):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 29K / month Β· π¦ 13 Β· β±οΈ 30.04.2025):
```
pip install scikit-lego
```
-- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 66K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 67K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge scikit-lego
```
scikit-opt (π₯25 Β· β 5.5K Β· π€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 24 Β· π 990 Β· π¦ 260 Β· π 180 - 37% open Β· β±οΈ 23.06.2024):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 24 Β· π 990 Β· π¦ 270 Β· π 180 - 37% open Β· β±οΈ 23.06.2024):
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 5.7K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 5.8K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
iterative-stratification (π₯21 Β· β 860) - scikit-learn cross validators for iterative.. BSD-3
+iterative-stratification (π₯21 Β· β 860 Β· π€) - scikit-learn cross validators for iterative.. BSD-3
- [GitHub](https://github.com/trent-b/iterative-stratification) (π¨βπ» 7 Β· π 75 Β· π¦ 580 Β· π 27 - 7% open Β· β±οΈ 12.10.2024):
```
git clone https://github.com/trent-b/iterative-stratification
```
-- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 44K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
+- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 47K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
```
pip install iterative-stratification
```
@@ -6957,36 +6958,24 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/amueller/dabl
```
-- [PyPi](https://pypi.org/project/dabl) (π₯ 4.2K / month Β· π¦ 3 Β· β±οΈ 16.12.2024):
+- [PyPi](https://pypi.org/project/dabl) (π₯ 3.8K / month Β· π¦ 3 Β· β±οΈ 16.12.2024):
```
pip install dabl
```
scikit-tda (π₯18 Β· β 540 Β· π€) - Topological Data Analysis for Python. MIT
-- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 83 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
+- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 54 Β· π¦ 85 Β· π 22 - 18% open Β· β±οΈ 19.07.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.1K / month Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.4K / month Β· β±οΈ 19.07.2024):
```
pip install scikit-tda
```
DESlib (π₯18 Β· β 490 Β· π€) - A Python library for dynamic classifier and ensemble selection. BSD-3
-
-- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 17 Β· π 100 Β· π 160 - 11% open Β· β±οΈ 15.04.2024):
-
- ```
- git clone https://github.com/scikit-learn-contrib/DESlib
- ```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 3.8K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
- ```
- pip install deslib
- ```
-Show 9 hidden projects...
+Show 10 hidden projects...
- scikit-survival (π₯32 Β· β 1.2K) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 Apache-2 βοΈBSD-1-Clause BSD-3 BSD-2 xgboost
+- DESlib (π₯18 Β· β 490 Β· π) - A Python library for dynamic classifier and ensemble selection. BSD-3 MIT
@@ -7006,9 +6996,9 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-accelerate (π₯42 Β· β 8.6K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
+accelerate (π₯42 Β· β 8.7K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 340 Β· π 1.1K Β· π¦ 87K Β· π 1.8K - 6% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 340 Β· π 1.1K Β· π¦ 91K Β· π 1.8K - 6% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/huggingface/accelerate
@@ -7017,14 +7007,14 @@ _Libraries that extend Pytorch with additional capabilities._
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 370K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 390K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge accelerate
```
tinygrad (π₯35 Β· β 29K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 390 Β· π 3.3K Β· π¦ 200 Β· π 900 - 14% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 390 Β· π 3.3K Β· π¦ 210 Β· π 910 - 14% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/geohot/tinygrad
@@ -7032,12 +7022,12 @@ _Libraries that extend Pytorch with additional capabilities._
PML (π₯33 Β· β 6.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT
-- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 46 Β· π 660 Β· π¦ 2.6K Β· π 530 - 14% open Β· β±οΈ 11.12.2024):
+- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (π¨βπ» 46 Β· π 660 Β· π¦ 2.7K Β· π 530 - 14% open Β· β±οΈ 11.12.2024):
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 770K / month Β· π¦ 55 Β· β±οΈ 11.12.2024):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 800K / month Β· π¦ 55 Β· β±οΈ 11.12.2024):
```
pip install pytorch-metric-learning
```
@@ -7046,9 +7036,9 @@ _Libraries that extend Pytorch with additional capabilities._
conda install -c metric-learning pytorch-metric-learning
```
torchdiffeq (π₯33 Β· β 5.9K) - Differentiable ODE solvers with full GPU support and.. MIT
+torchdiffeq (π₯32 Β· β 5.9K) - Differentiable ODE solvers with full GPU support and.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 22 Β· π 930 Β· π¦ 5K Β· π 220 - 33% open Β· β±οΈ 04.04.2025):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 22 Β· π 930 Β· π¦ 5.1K Β· π 220 - 33% open Β· β±οΈ 04.04.2025):
```
git clone https://github.com/rtqichen/torchdiffeq
@@ -7064,51 +7054,39 @@ _Libraries that extend Pytorch with additional capabilities._
torchsde (π₯30 Β· β 1.6K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
-- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 9 Β· π 200 Β· π¦ 5K Β· π 82 - 35% open Β· β±οΈ 30.12.2024):
+- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 9 Β· π 200 Β· π¦ 5.1K Β· π 82 - 35% open Β· β±οΈ 30.12.2024):
```
git clone https://github.com/google-research/torchsde
```
-- [PyPi](https://pypi.org/project/torchsde) (π₯ 2.6M / month Β· π¦ 37 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/torchsde) (π₯ 2.7M / month Β· π¦ 37 Β· β±οΈ 26.09.2023):
```
pip install torchsde
```
-- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 38K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 39K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge torchsde
```
torch-scatter (π₯27 Β· β 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 33 Β· π 180 Β· π 410 - 6% open Β· β±οΈ 20.04.2025):
+- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 33 Β· π 190 Β· π 410 - 6% open Β· β±οΈ 20.04.2025):
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 54K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 47K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
```
pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 820K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 830K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_scatter
```
Pytorch Toolbelt (π₯26 Β· β 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT
-
-- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 8 Β· π 120 Β· π₯ 140 Β· π 33 - 12% open Β· β±οΈ 01.03.2025):
-
- ```
- git clone https://github.com/BloodAxe/pytorch-toolbelt
- ```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 9.9K / month Β· π¦ 12 Β· β±οΈ 21.11.2024):
- ```
- pip install pytorch_toolbelt
- ```
-EfficientNets (π₯25 Β· β 1.6K Β· π€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2
-- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (π¨βπ» 5 Β· π 210 Β· π¦ 290 Β· π 55 - 7% open Β· β±οΈ 13.06.2024):
+- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (π¨βπ» 5 Β· π 210 Β· π¦ 300 Β· π 55 - 7% open Β· β±οΈ 13.06.2024):
```
git clone https://github.com/rwightman/gen-efficientnet-pytorch
@@ -7125,28 +7103,40 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 38K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 32K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 770K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 790K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge pytorch_sparse
```
madgrad (π₯16 Β· β 800) - MADGRAD Optimization Method. MIT
+Pytorch Toolbelt (π₯24 Β· β 1.5K Β· π) - PyTorch extensions for fast R&D prototyping and.. MIT
+
+- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (π¨βπ» 8 Β· π 120 Β· π₯ 140 Β· π 33 - 12% open Β· β±οΈ 01.03.2025):
+
+ ```
+ git clone https://github.com/BloodAxe/pytorch-toolbelt
+ ```
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 13K / month Β· π¦ 12 Β· β±οΈ 21.11.2024):
+ ```
+ pip install pytorch_toolbelt
+ ```
+madgrad (π₯17 Β· β 800) - MADGRAD Optimization Method. MIT
- [GitHub](https://github.com/facebookresearch/madgrad) (π¨βπ» 3 Β· π 57 Β· π¦ 100 Β· β±οΈ 27.01.2025):
```
git clone https://github.com/facebookresearch/madgrad
```
-- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.9K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
+- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.3K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
```
pip install madgrad
```
pytorchviz (π₯14 Β· β 3.3K Β· π) - A small package to create visualizations of PyTorch execution.. MIT
+pytorchviz (π₯14 Β· β 3.3K) - A small package to create visualizations of PyTorch execution graphs. MIT
- [GitHub](https://github.com/szagoruyko/pytorchviz) (π¨βπ» 6 Β· π 280 Β· π 72 - 47% open Β· β±οΈ 30.12.2024):
@@ -7157,24 +7147,24 @@ _Libraries that extend Pytorch with additional capabilities._
Show 21 hidden projects...
- pretrainedmodels (π₯30 Β· β 9.1K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 Apache-2 Apache-2 Apache-2 Apache-2 MIT MIT MIT MIT Apache-2 MIT MIT βοΈCC BY-NC-SA 4.0 Apache-2 MIT βοΈCC BY-NC-SA 4.0 MIT βοΈLGPL-3.0 MIT MIT MIT Apache-2 MIT Apache-2 MIT Apache-2
@@ -7196,7 +7186,7 @@ _Libraries for connecting to, operating, and querying databases._
scipy (π₯50 Β· β 14K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.8K Β· π 5.3K Β· π₯ 490K Β· π¦ 1.3M Β· π 11K - 15% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.8K Β· π 5.3K Β· π₯ 490K Β· π¦ 1.3M Β· π 11K - 15% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/scipy/scipy
@@ -7205,215 +7195,215 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install scipy
```
-- [Conda](https://anaconda.org/conda-forge/scipy) (π₯ 61M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/scipy) (π₯ 62M Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge scipy
```
SymPy (π₯49 Β· β 14K) - A computer algebra system written in pure Python. BSD-3
+SymPy (π₯50 Β· β 14K Β· π) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.4K Β· π 4.7K Β· π₯ 560K Β· π¦ 250K Β· π 14K - 36% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.4K Β· π 4.7K Β· π₯ 560K Β· π¦ 260K Β· π 14K - 36% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/sympy/sympy
```
-- [PyPi](https://pypi.org/project/sympy) (π₯ 49M / month Β· π¦ 4.3K Β· β±οΈ 14.04.2025):
+- [PyPi](https://pypi.org/project/sympy) (π₯ 52M / month Β· π¦ 4.3K Β· β±οΈ 27.04.2025):
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 8.6M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 8.7M Β· β±οΈ 29.04.2025):
```
conda install -c conda-forge sympy
```
Streamlit (π₯46 Β· β 39K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 380 Β· π 3.4K Β· π¦ 860K Β· π 5.1K - 22% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 400 Β· π 3.4K Β· π¦ 900K Β· π 5.2K - 22% open Β· β±οΈ 08.05.2025):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 9.9M / month Β· π¦ 3.5K Β· β±οΈ 01.04.2025):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 10M / month Β· π¦ 3.7K Β· β±οΈ 29.04.2025):
```
pip install streamlit
```
Gradio (π₯44 Β· β 38K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 570 Β· π 2.9K Β· π¦ 70K Β· π 5.6K - 8% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 580 Β· π 2.9K Β· π¦ 73K Β· π 5.6K - 8% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 9.4M / month Β· π¦ 1.2K Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 9.2M / month Β· π¦ 1.2K Β· β±οΈ 02.05.2025):
```
pip install gradio
```
carla (π₯37 Β· β 12K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 180 Β· π 3.8K Β· π¦ 1K Β· π 5.9K - 18% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 180 Β· π 3.9K Β· π¦ 1K Β· π 5.9K - 18% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 28K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
+- [PyPi](https://pypi.org/project/carla) (π₯ 36K / month Β· π¦ 11 Β· β±οΈ 14.11.2023):
```
pip install carla
```
PennyLane (π₯37 Β· β 2.6K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
+Autograd (π₯37 Β· β 7.3K) - Efficiently computes derivatives of NumPy code. MIT
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 200 Β· π 650 Β· π₯ 100 Β· π¦ 1.5K Β· π 1.6K - 24% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 61 Β· π 910 Β· π¦ 13K Β· π 440 - 42% open Β· β±οΈ 05.05.2025):
```
- git clone https://github.com/PennyLaneAI/PennyLane
+ git clone https://github.com/HIPS/autograd
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 94K / month Β· π¦ 150 Β· β±οΈ 15.04.2025):
+- [PyPi](https://pypi.org/project/autograd) (π₯ 3.6M / month Β· π¦ 310 Β· β±οΈ 05.05.2025):
```
- pip install pennylane
+ pip install autograd
```
-- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 260K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 540K Β· β±οΈ 05.05.2025):
```
- conda install -c conda-forge pennylane
+ conda install -c conda-forge autograd
```
PyOD (π₯36 Β· β 9.1K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2
+PennyLane (π₯37 Β· β 2.6K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 63 Β· π 1.4K Β· π¦ 5.1K Β· π 380 - 60% open Β· β±οΈ 24.03.2025):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 200 Β· π 650 Β· π₯ 100 Β· π¦ 1.6K Β· π 1.6K - 25% open Β· β±οΈ 08.05.2025):
```
- git clone https://github.com/yzhao062/pyod
+ git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 560K / month Β· π¦ 130 Β· β±οΈ 24.03.2025):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 91K / month Β· π¦ 150 Β· β±οΈ 02.05.2025):
```
- pip install pyod
+ pip install pennylane
```
-- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 150K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 260K Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pyod
+ conda install -c conda-forge pennylane
```
Autograd (π₯36 Β· β 7.2K Β· π) - Efficiently computes derivatives of NumPy code. MIT
+PyOD (π₯36 Β· β 9.2K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 61 Β· π 910 Β· π¦ 13K Β· π 430 - 42% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 65 Β· π 1.4K Β· π¦ 5.1K Β· π 380 - 60% open Β· β±οΈ 29.04.2025):
```
- git clone https://github.com/HIPS/autograd
+ git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/autograd) (π₯ 4M / month Β· π¦ 280 Β· β±οΈ 22.08.2024):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 600K / month Β· π¦ 130 Β· β±οΈ 29.04.2025):
```
- pip install autograd
+ pip install pyod
```
-- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 530K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 150K Β· β±οΈ 30.04.2025):
```
- conda install -c conda-forge autograd
+ conda install -c conda-forge pyod
```
Datasette (π₯35 Β· β 10K) - An open source multi-tool for exploring and publishing data. Apache-2
+Datasette (π₯34 Β· β 10K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 82 Β· π 730 Β· π₯ 70 Β· π¦ 1.5K Β· π 1.9K - 32% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 82 Β· π 730 Β· π₯ 71 Β· π¦ 1.5K Β· π 1.9K - 32% open Β· β±οΈ 22.04.2025):
```
git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 200K / month Β· π¦ 460 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 190K / month Β· π¦ 460 Β· β±οΈ 22.04.2025):
```
pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 59K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 61K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge datasette
```
DeepChem (π₯35 Β· β 5.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
+DeepChem (π₯34 Β· β 5.9K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 260 Β· π 1.9K Β· π¦ 570 Β· π 2K - 38% open Β· β±οΈ 21.04.2025):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 260 Β· π 1.9K Β· π¦ 580 Β· π 2K - 38% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 61K / month Β· π¦ 17 Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 54K / month Β· π¦ 17 Β· β±οΈ 05.05.2025):
```
pip install deepchem
```
-- [Conda](https://anaconda.org/conda-forge/deepchem) (π₯ 110K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/deepchem) (π₯ 120K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge deepchem
```
agate (π₯35 Β· β 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
+agate (π₯34 Β· β 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
-- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 53 Β· π 150 Β· π¦ 4.8K Β· π 650 - 0% open Β· β±οΈ 27.02.2025):
+- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 53 Β· π 150 Β· π¦ 4.9K Β· π 650 - 0% open Β· β±οΈ 27.02.2025):
```
git clone https://github.com/wireservice/agate
```
-- [PyPi](https://pypi.org/project/agate) (π₯ 16M / month Β· π¦ 54 Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/agate) (π₯ 17M / month Β· π¦ 54 Β· β±οΈ 29.01.2025):
```
pip install agate
```
-- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 310K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 320K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge agate
```
hdbscan (π₯33 Β· β 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3
+Pythran (π₯33 Β· β 2.1K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 96 Β· π 500 Β· π¦ 6K Β· π 530 - 67% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 74 Β· π 190 Β· π¦ 3.4K Β· π 890 - 15% open Β· β±οΈ 23.04.2025):
```
- git clone https://github.com/scikit-learn-contrib/hdbscan
+ git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 710K / month Β· π¦ 350 Β· β±οΈ 18.11.2024):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 320K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
```
- pip install hdbscan
+ pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 2.5M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 1.1M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge hdbscan
+ conda install -c conda-forge pythran
```
Pythran (π₯33 Β· β 2K) - Ahead of Time compiler for numeric kernels. BSD-3
+hdbscan (π₯32 Β· β 2.9K) - A high performance implementation of HDBSCAN clustering. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 74 Β· π 190 Β· π¦ 3.3K Β· π 890 - 15% open Β· β±οΈ 23.04.2025):
+- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 96 Β· π 500 Β· π¦ 6.4K Β· π 530 - 67% open Β· β±οΈ 22.04.2025):
```
- git clone https://github.com/serge-sans-paille/pythran
+ git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 320K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 720K / month Β· π¦ 350 Β· β±οΈ 18.11.2024):
```
- pip install pythran
+ pip install hdbscan
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 1.1M Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 2.5M Β· β±οΈ 22.04.2025):
```
- conda install -c conda-forge pythran
+ conda install -c conda-forge hdbscan
```
tensorly (π₯33 Β· β 1.6K) - TensorLy: Tensor Learning in Python. BSD-2
+tensorly (π₯32 Β· β 1.6K) - TensorLy: Tensor Learning in Python. BSD-2
-- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 72 Β· π 290 Β· π¦ 990 Β· π 280 - 23% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 74 Β· π 290 Β· π¦ 1K Β· π 280 - 23% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/tensorly/tensorly
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 76K / month Β· π¦ 99 Β· β±οΈ 12.11.2024):
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 78K / month Β· π¦ 99 Β· β±οΈ 12.11.2024):
```
pip install tensorly
```
-- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 370K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/tensorly) (π₯ 380K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge tensorly
```
pyjanitor (π₯32 Β· β 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 920 Β· π 580 - 19% open Β· β±οΈ 22.04.2025):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 930 Β· π 580 - 19% open Β· β±οΈ 06.05.2025):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
-- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 93K / month Β· π¦ 42 Β· β±οΈ 07.03.2025):
+- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 90K / month Β· π¦ 42 Β· β±οΈ 07.03.2025):
```
pip install pyjanitor
```
@@ -7424,91 +7414,75 @@ _Libraries for connecting to, operating, and querying databases._
PaddleHub (π₯31 Β· β 13K Β· π€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 70 Β· π 2.1K Β· π₯ 840 Β· π¦ 1.9K Β· π 1.3K - 44% open Β· β±οΈ 07.08.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (π¨βπ» 69 Β· π 2.1K Β· π₯ 840 Β· π¦ 1.9K Β· π 1.3K - 44% open Β· β±οΈ 07.08.2024):
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 6.8K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 6.7K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
```
pip install paddlehub
```
River (π₯31 Β· β 5.3K) - Online machine learning in Python. BSD-3
-
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 120 Β· π 560 Β· π¦ 710 Β· π 620 - 19% open Β· β±οΈ 03.03.2025):
-
- ```
- git clone https://github.com/online-ml/river
- ```
-- [PyPi](https://pypi.org/project/river) (π₯ 83K / month Β· π¦ 64 Β· β±οΈ 25.11.2024):
- ```
- pip install river
- ```
-- [Conda](https://anaconda.org/conda-forge/river) (π₯ 110K Β· β±οΈ 22.04.2025):
- ```
- conda install -c conda-forge river
- ```
-dstack (π₯31 Β· β 1.8K) - dstack is an open-source alternative to Kubernetes and Slurm, designed.. MPL-2.0
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 52 Β· π 170 Β· π¦ 18 Β· π 1.3K - 8% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 52 Β· π 170 Β· π¦ 18 Β· π 1.3K - 8% open Β· β±οΈ 07.05.2025):
```
git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 11K / month Β· β±οΈ 23.04.2025):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 11K / month Β· β±οΈ 07.05.2025):
```
pip install dstack
```
anomalib (π₯30 Β· β 4.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
+pyopencl (π₯31 Β· β 1.1K) - OpenCL integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/open-edge-platform/anomalib) (π¨βπ» 84 Β· π 720 Β· π₯ 24K Β· π¦ 170 Β· π 1K - 15% open Β· β±οΈ 13.04.2025):
+- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 98 Β· π 240 Β· π¦ 2.3K Β· π 360 - 21% open Β· β±οΈ 07.05.2025):
```
- git clone https://github.com/openvinotoolkit/anomalib
+ git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 72K / month Β· π¦ 5 Β· β±οΈ 19.03.2025):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 93K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
```
- pip install anomalib
+ pip install pyopencl
+ ```
+- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 1.7M Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge pyopencl
```
pyopencl (π₯30 Β· β 1.1K) - OpenCL integration for Python, plus shiny features. MIT
+anomalib (π₯30 Β· β 4.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 98 Β· π 240 Β· π¦ 2.2K Β· π 360 - 21% open Β· β±οΈ 06.04.2025):
+- [GitHub](https://github.com/open-edge-platform/anomalib) (π¨βπ» 86 Β· π 730 Β· π₯ 25K Β· π¦ 180 Β· π 1K - 15% open Β· β±οΈ 06.05.2025):
```
- git clone https://github.com/inducer/pyopencl
- ```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 89K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
- ```
- pip install pyopencl
+ git clone https://github.com/openvinotoolkit/anomalib
```
-- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 1.7M Β· β±οΈ 22.04.2025):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 75K / month Β· π¦ 5 Β· β±οΈ 19.03.2025):
```
- conda install -c conda-forge pyopencl
+ pip install anomalib
```
datalad (π₯30 Β· β 570) - Keep code, data, containers under control with git and git-annex. MIT
-- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 57 Β· π 110 Β· π¦ 520 Β· π 4K - 13% open Β· β±οΈ 15.12.2024):
+- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 57 Β· π 110 Β· π¦ 520 Β· π 4K - 13% open Β· β±οΈ 05.05.2025):
```
git clone https://github.com/datalad/datalad
```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 21K / month Β· π¦ 99 Β· β±οΈ 15.12.2024):
+- [PyPi](https://pypi.org/project/datalad) (π₯ 19K / month Β· π¦ 99 Β· β±οΈ 15.12.2024):
```
pip install datalad
```
-- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 850K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 860K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge datalad
```
causalml (π₯29 Β· β 5.4K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 65 Β· π 810 Β· π¦ 270 Β· π 410 - 10% open Β· β±οΈ 23.03.2025):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 65 Β· π 810 Β· π¦ 280 Β· π 410 - 10% open Β· β±οΈ 23.03.2025):
```
git clone https://github.com/uber/causalml
@@ -7518,33 +7492,37 @@ _Libraries for connecting to, operating, and querying databases._
pip install causalml
```
Trax (π₯28 Β· β 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2
+River (π₯29 Β· β 5.3K Β· π) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/google/trax) (π¨βπ» 81 Β· π 820 Β· π¦ 220 Β· π 250 - 49% open Β· β±οΈ 10.04.2025):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 120 Β· π 560 Β· π¦ 730 Β· π 620 - 19% open Β· β±οΈ 03.03.2025):
```
- git clone https://github.com/google/trax
+ git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 4.5K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/river) (π₯ 69K / month Β· π¦ 64 Β· β±οΈ 25.11.2024):
```
- pip install trax
+ pip install river
+ ```
+- [Conda](https://anaconda.org/conda-forge/river) (π₯ 110K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c conda-forge river
```
adapter-transformers (π₯28 Β· β 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 16 Β· π 360 Β· π¦ 200 Β· π 400 - 10% open Β· β±οΈ 19.04.2025):
+- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 15 Β· π 360 Β· π¦ 220 Β· π 400 - 10% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 5.4K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 5.2K / month Β· π¦ 12 Β· β±οΈ 07.07.2024):
```
pip install adapter-transformers
```
avalanche (π₯28 Β· β 1.9K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
-- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 85 Β· π 300 Β· π₯ 53 Β· π¦ 130 Β· π 830 - 12% open Β· β±οΈ 11.03.2025):
+- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 84 Β· π 300 Β· π₯ 54 Β· π¦ 140 Β· π 830 - 12% open Β· β±οΈ 11.03.2025):
```
git clone https://github.com/ContinualAI/avalanche
@@ -7554,41 +7532,53 @@ _Libraries for connecting to, operating, and querying databases._
pip install avalanche-lib
```
TabPy (π₯28 Β· β 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
+Prince (π₯28 Β· β 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
-- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 51 Β· π 600 Β· π¦ 210 Β· π 320 - 6% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 730 Β· β±οΈ 09.03.2025):
```
- git clone https://github.com/tableau/TabPy
+ git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 7.6K / month Β· π¦ 2 Β· β±οΈ 25.11.2024):
+- [PyPi](https://pypi.org/project/prince) (π₯ 160K / month Β· π¦ 20 Β· β±οΈ 09.03.2025):
```
- pip install tabpy
+ pip install prince
```
-- [Conda](https://anaconda.org/anaconda/tabpy-client) (π₯ 5.1K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (π₯ 24K Β· β±οΈ 22.04.2025):
```
- conda install -c anaconda tabpy-client
+ conda install -c conda-forge prince-factor-analysis
```
Prince (π₯28 Β· β 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
+Trax (π₯27 Β· β 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2
-- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 710 Β· β±οΈ 09.03.2025):
+- [GitHub](https://github.com/google/trax) (π¨βπ» 81 Β· π 820 Β· π¦ 220 Β· π 250 - 49% open Β· β±οΈ 10.04.2025):
```
- git clone https://github.com/MaxHalford/prince
+ git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/prince) (π₯ 180K / month Β· π¦ 20 Β· β±οΈ 09.03.2025):
+- [PyPi](https://pypi.org/project/trax) (π₯ 3.1K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
- pip install prince
+ pip install trax
```
-- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (π₯ 24K Β· β±οΈ 22.04.2025):
+TabPy (π₯27 Β· β 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
+
+- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 51 Β· π 600 Β· π¦ 210 Β· π 320 - 6% open Β· β±οΈ 25.11.2024):
+
```
- conda install -c conda-forge prince-factor-analysis
+ git clone https://github.com/tableau/TabPy
+ ```
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 7.3K / month Β· π¦ 2 Β· β±οΈ 25.11.2024):
+ ```
+ pip install tabpy
+ ```
+- [Conda](https://anaconda.org/anaconda/tabpy-client) (π₯ 5.1K Β· β±οΈ 22.04.2025):
+ ```
+ conda install -c anaconda tabpy-client
```
pycm (π₯27 Β· β 1.5K) - Multi-class confusion matrix library in Python. MIT
-- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 18 Β· π 130 Β· π¦ 390 Β· π 210 - 8% open Β· β±οΈ 04.04.2025):
+- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 18 Β· π 130 Β· π¦ 400 Β· π 210 - 8% open Β· β±οΈ 04.04.2025):
```
git clone https://github.com/sepandhaghighi/pycm
@@ -7600,12 +7590,12 @@ _Libraries for connecting to, operating, and querying databases._
metric-learn (π₯26 Β· β 1.4K Β· π€) - Metric learning algorithms in Python. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 23 Β· π 230 Β· π¦ 470 Β· π 180 - 30% open Β· β±οΈ 03.08.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 23 Β· π 230 Β· π¦ 480 Β· π 180 - 30% open Β· β±οΈ 03.08.2024):
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (π₯ 6.4K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/metric-learn) (π₯ 5.6K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
```
pip install metric-learn
```
@@ -7614,18 +7604,6 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge metric-learn
```
AugLy (π₯25 Β· β 5K) - A data augmentations library for audio, image, text, and video. MIT
-
-- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 38 Β· π 300 Β· π¦ 170 Β· π 80 - 30% open Β· β±οΈ 28.02.2025):
-
- ```
- git clone https://github.com/facebookresearch/AugLy
- ```
-- [PyPi](https://pypi.org/project/augly) (π₯ 2.9K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
- ```
- pip install augly
- ```
-Feature Engine (π₯25 Β· β 2K Β· π€) - Feature engineering package with sklearn like functionality. BSD-3
- [GitHub](https://github.com/solegalli/feature_engine) (π¨βπ» 49 Β· π 320 Β· β±οΈ 31.08.2024):
@@ -7633,23 +7611,35 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/solegalli/feature_engine
```
-- [PyPi](https://pypi.org/project/feature_engine) (π₯ 260K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/feature_engine) (π₯ 250K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
```
pip install feature_engine
```
-- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 71K Β· β±οΈ 22.04.2025):
+- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 72K Β· β±οΈ 22.04.2025):
```
conda install -c conda-forge feature_engine
```
AugLy (π₯24 Β· β 5K) - A data augmentations library for audio, image, text, and video. MIT
+
+- [GitHub](https://github.com/facebookresearch/AugLy) (π¨βπ» 38 Β· π 300 Β· π¦ 180 Β· π 80 - 30% open Β· β±οΈ 28.02.2025):
+
+ ```
+ git clone https://github.com/facebookresearch/AugLy
+ ```
+- [PyPi](https://pypi.org/project/augly) (π₯ 2.8K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
+ ```
+ pip install augly
+ ```
+BioPandas (π₯23 Β· β 730 Β· π€) - Working with molecular structures in pandas DataFrames. BSD-3
-- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 360 Β· π 60 - 36% open Β· β±οΈ 01.08.2024):
+- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 18 Β· π 120 Β· π¦ 370 Β· π 60 - 36% open Β· β±οΈ 01.08.2024):
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 11K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 9.8K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
```
pip install biopandas
```
@@ -7658,9 +7648,21 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge biopandas
```
MONAILabel (π₯22 Β· β 710) - MONAI Label is an intelligent open source image labeling and.. Apache-2
+
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 66 Β· π 220 Β· π₯ 120K Β· π 540 - 25% open Β· β±οΈ 05.05.2025):
+
+ ```
+ git clone https://github.com/Project-MONAI/MONAILabel
+ ```
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 1.8K / month Β· β±οΈ 01.10.2023):
+ ```
+ pip install monailabel-weekly
+ ```
+pykale (π₯22 Β· β 460) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 26 Β· π 66 Β· π¦ 6 Β· π 130 - 8% open Β· β±οΈ 24.04.2025):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 26 Β· π 66 Β· π¦ 6 Β· π 130 - 8% open Β· β±οΈ 01.05.2025):
```
git clone https://github.com/pykale/pykale
@@ -7670,50 +7672,38 @@ _Libraries for connecting to, operating, and querying databases._
pip install pykale
```
SUOD (π₯22 Β· β 380) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
+SUOD (π₯22 Β· β 390) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 49 Β· π¦ 550 Β· π 15 - 80% open Β· β±οΈ 24.03.2025):
```
git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 11K / month Β· π¦ 9 Β· β±οΈ 24.03.2025):
+- [PyPi](https://pypi.org/project/suod) (π₯ 13K / month Β· π¦ 9 Β· β±οΈ 24.03.2025):
```
pip install suod
```
benchmark_VAE (π₯21 Β· β 1.9K Β· π€) - Unifying Variational Autoencoder (VAE).. Apache-2
+benchmark_VAE (π₯20 Β· β 1.9K Β· π€) - Unifying Variational Autoencoder (VAE).. Apache-2
- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (π¨βπ» 18 Β· π 170 Β· π¦ 40 Β· π 71 - 36% open Β· β±οΈ 17.07.2024):
```
git clone https://github.com/clementchadebec/benchmark_VAE
```
-- [PyPi](https://pypi.org/project/pythae) (π₯ 1.2K / month Β· β±οΈ 06.09.2023):
+- [PyPi](https://pypi.org/project/pythae) (π₯ 810 / month Β· β±οΈ 06.09.2023):
```
pip install pythae
```
MONAILabel (π₯21 Β· β 700) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 66 Β· π 220 Β· π₯ 110K Β· π 540 - 25% open Β· β±οΈ 03.04.2025):
-
- ```
- git clone https://github.com/Project-MONAI/MONAILabel
- ```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 1.7K / month Β· β±οΈ 01.10.2023):
- ```
- pip install monailabel-weekly
- ```
-pymdp (π₯20 Β· β 520) - A Python implementation of active inference for Markov Decision Processes. MIT
-- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 19 Β· π 100 Β· π¦ 20 Β· π 53 - 49% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 19 Β· π 100 Β· π¦ 21 Β· π 55 - 47% open Β· β±οΈ 06.02.2025):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 7.2K / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 11K / month Β· β±οΈ 08.12.2022):
```
pip install inferactively-pymdp
```
@@ -7725,20 +7715,20 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 310 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 250 / month Β· β±οΈ 03.10.2023):
```
pip install neuralcompression
```
Show 28 hidden projects...
-- cleanlab (π₯31 Β· β 10K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
- Cython BLIS (π₯31 Β· β 230) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
+- cleanlab (π₯30 Β· β 11K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
- pysc2 (π₯29 Β· β 8.1K Β· π) - StarCraft II Learning Environment. Apache-2
- minisom (π₯29 Β· β 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. βοΈCC-BY-3.0
- kmodes (π₯29 Β· β 1.3K Β· π) - Python implementations of the k-modes and k-prototypes clustering.. MIT
- pyclustering (π₯29 Β· β 1.2K Β· π) - pyclustering is a Python, C++ data mining library. BSD-3
-- alibi-detect (π₯28 Β· β 2.3K) - Algorithms for outlier, adversarial and drift detection. βοΈIntel
+- alibi-detect (π₯28 Β· β 2.4K) - Algorithms for outlier, adversarial and drift detection. βοΈIntel
- modAL (π₯28 Β· β 2.3K Β· π) - A modular active learning framework for Python. MIT BSD-3 MIT
@@ -7749,8 +7739,8 @@ _Libraries for connecting to, operating, and querying databases._
- AstroML (π₯23 Β· β 1.1K Β· π) - Machine learning, statistics, and data mining for astronomy.. BSD-2 MIT
- opyrator (π₯22 Β· β 3.1K Β· π) - Turns your machine learning code into microservices with web API,.. MIT
-- mlens (π₯22 Β· β 850 Β· π) - ML-Ensemble high performance ensemble learning. MIT
-- apricot (π₯22 Β· β 500 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
+- mlens (π₯22 Β· β 860 Β· π) - ML-Ensemble high performance ensemble learning. MIT
+- apricot (π₯22 Β· β 510 Β· π) - apricot implements submodular optimization for the purpose of.. MIT
- impyute (π₯21 Β· β 360 Β· π) - Data imputations library to preprocess datasets with missing data. MIT
- StreamAlert (π₯20 Β· β 2.9K Β· π) - StreamAlert is a serverless, realtime data analysis.. Apache-2
- rrcf (π₯20 Β· β 510 Β· π) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT
diff --git a/history/2025-05-08_changes.md b/history/2025-05-08_changes.md
new file mode 100644
index 0000000..b1da60d
--- /dev/null
+++ b/history/2025-05-08_changes.md
@@ -0,0 +1,36 @@
+## π Trending Up
+
+_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._
+
+- SymPy (π₯50 Β· β 14K Β· π) - A computer algebra system written in pure Python. BSD-3
+- dask (π₯45 Β· β 13K Β· π) - Parallel computing with task scheduling. BSD-3
+- litellm (π₯44 Β· β 22K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+- Recommenders (π₯35 Β· β 20K Β· π) - Best Practices on Recommendation Systems. MIT
+- python-soundfile (π₯32 Β· β 760 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
+- Norfair (π₯28 Β· β 2.5K Β· π) - Lightweight Python library for adding real-time multi-object.. BSD-3
+- pyvips (π₯28 Β· β 700 Β· π) - python binding for libvips using cffi. MIT
+- HyperTools (π₯27 Β· β 1.8K Β· π) - A Python toolbox for gaining geometric insights into high-.. MIT
+- Image Deduplicator (π₯26 Β· β 5.4K Β· π) - Finding duplicate images made easy!. Apache-2 Apache-2
+
+## π Trending Down
+
+_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
+
+- pytorch-lightning (π₯43 Β· β 29K Β· π) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 BSD-2
+- arch (π₯30 Β· β 1.4K Β· π) - ARCH models in Python. βUnlicensed
+- River (π₯29 Β· β 5.3K Β· π) - Online machine learning in Python. BSD-3
+- hmmlearn (π₯28 Β· β 3.2K Β· π€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 BSD-3 MIT MIT Apache-2
+- featurewiz (π₯21 Β· β 650 Β· π) - Use advanced feature engineering strategies and select best.. Apache-2
+
+## β Added Projects
+
+_Projects that were recently added to this best-of list._
+
+- skrub (π₯29 Β· β 1.4K Β· β) - Machine learning with dataframes. BSD-3 MIT
-- Fastai (π₯42 Β· β 27K Β· π) - The fastai deep learning library. Apache-2 MPL-2.0
-- Autograd (π₯36 Β· β 7.2K Β· π) - Efficiently computes derivatives of NumPy code. MIT
-- VisPy (π₯35 Β· β 3.4K Β· π) - High-performance interactive 2D/3D data visualization library. BSD-3 MIT
-- scikit-lego (π₯27 Β· β 1.3K Β· π) - Extra blocks for scikit-learn pipelines. MIT BSD-2
-- vecstack (π₯23 Β· β 690 Β· π) - Python package for stacking (machine learning technique). MIT
-- mlens (π₯22 Β· β 850 Β· π) - ML-Ensemble high performance ensemble learning. MIT
+- SymPy (π₯50 Β· β 14K Β· π) - A computer algebra system written in pure Python. BSD-3
+- dask (π₯45 Β· β 13K Β· π) - Parallel computing with task scheduling. BSD-3
+- litellm (π₯44 Β· β 22K Β· π) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+- Recommenders (π₯35 Β· β 20K Β· π) - Best Practices on Recommendation Systems. MIT
+- python-soundfile (π₯32 Β· β 760 Β· π) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3
+- Norfair (π₯28 Β· β 2.5K Β· π) - Lightweight Python library for adding real-time multi-object.. BSD-3
+- pyvips (π₯28 Β· β 700 Β· π) - python binding for libvips using cffi. MIT
+- HyperTools (π₯27 Β· β 1.8K Β· π) - A Python toolbox for gaining geometric insights into high-.. MIT
+- Image Deduplicator (π₯26 Β· β 5.4K Β· π) - Finding duplicate images made easy!. Apache-2 Apache-2
## π Trending Down
_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
-- PySpark (π₯44 Β· β 41K Β· π) - Apache Spark Python API. Apache-2 MIT o t h e r s
-- sentence-transformers (π₯43 Β· β 17K Β· π) - State-of-the-Art Text Embeddings. Apache-2 Apache-2 Apache-2 BSD-3 BSD-3 MIT Apache-2
-- pytorchviz (π₯14 Β· β 3.3K Β· π) - A small package to create visualizations of PyTorch execution.. MIT
+- pytorch-lightning (π₯43 Β· β 29K Β· π) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 BSD-2
+- arch (π₯30 Β· β 1.4K Β· π) - ARCH models in Python. βUnlicensed
+- River (π₯29 Β· β 5.3K Β· π) - Online machine learning in Python. BSD-3
+- hmmlearn (π₯28 Β· β 3.2K Β· π€) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 BSD-3 MIT MIT Apache-2
+- featurewiz (π₯21 Β· β 650 Β· π) - Use advanced feature engineering strategies and select best.. Apache-2
+
+## β Added Projects
+
+_Projects that were recently added to this best-of list._
+
+- skrub (π₯29 Β· β 1.4K Β· β) - Machine learning with dataframes. BSD-3