diff --git a/README.md b/README.md
index 8d819aa6..789039a6 100644
--- a/README.md
+++ b/README.md
@@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯55 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.8K Β· π 74K Β· π¦ 460K Β· π 46K - 15% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.8K Β· π 75K Β· π¦ 470K Β· π 47K - 15% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/tensorflow/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₯ 79M Β· β 2.7K Β· β±οΈ 13.02.2025):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 79M Β· β 2.7K Β· β±οΈ 20.02.2025):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯55 Β· β 87K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.4K Β· π 23K Β· π₯ 75K Β· π¦ 640K Β· π 50K - 31% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 5.4K Β· π 23K Β· π₯ 76K Β· π¦ 650K Β· π 50K - 31% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/pytorch/pytorch
```
-- [PyPi](https://pypi.org/project/torch) (π₯ 39M / month Β· π¦ 22K Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/torch) (π₯ 40M / month Β· π¦ 22K Β· β±οΈ 29.01.2025):
```
pip install torch
```
@@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯53 Β· β 61K) - 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₯ 1K Β· π¦ 1.1M Β· π 12K - 17% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.3K Β· π 26K Β· π₯ 1K Β· π¦ 1.1M Β· π 12K - 17% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/scikit-learn/scikit-learn
```
-- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 78M / month Β· π¦ 27K Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/scikit-learn) (π₯ 77M / month Β· π¦ 27K Β· β±οΈ 10.01.2025):
```
pip install scikit-learn
```
@@ -153,12 +153,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (π₯48 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 11.02.2025):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.4K Β· π 20K Β· π 12K - 2% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/keras-team/keras
```
-- [PyPi](https://pypi.org/project/keras) (π₯ 14M / month Β· π¦ 1.7K Β· β±οΈ 07.01.2025):
+- [PyPi](https://pypi.org/project/keras) (π₯ 13M / month Β· π¦ 1.7K Β· β±οΈ 07.01.2025):
```
pip install keras
```
@@ -169,12 +169,12 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (π₯45 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 13.02.2025):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.2K Β· π 28K Β· β±οΈ 20.02.2025):
```
git clone https://github.com/apache/spark
```
-- [PyPi](https://pypi.org/project/pyspark) (π₯ 33M / month Β· π¦ 1.7K Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/pyspark) (π₯ 32M / month Β· π¦ 1.7K Β· β±οΈ 20.12.2024):
```
pip install pyspark
```
@@ -185,12 +185,12 @@ _General-purpose machine learning and deep learning frameworks._
jax (π₯45 Β· β 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 830 Β· π 2.9K Β· π¦ 37K Β· π 6K - 25% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/jax-ml/jax) (π¨βπ» 830 Β· π 2.9K Β· π¦ 37K Β· π 6K - 25% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 6.8M / month Β· π¦ 2.1K Β· β±οΈ 17.01.2025):
+- [PyPi](https://pypi.org/project/jax) (π₯ 6.7M / month Β· π¦ 2.1K Β· β±οΈ 17.01.2025):
```
pip install jax
```
@@ -201,35 +201,35 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (π₯45 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 8.7K Β· π₯ 14K Β· π¦ 130K Β· π 5.4K - 8% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 660 Β· π 8.7K Β· π₯ 14K Β· π¦ 130K Β· π 5.5K - 8% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 24M / month Β· π¦ 2.3K Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 23M / month Β· π¦ 2.3K Β· β±οΈ 06.02.2025):
```
pip install xgboost
```
-- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 5.8M Β· β±οΈ 07.02.2025):
+- [Conda](https://anaconda.org/conda-forge/xgboost) (π₯ 5.9M Β· β±οΈ 07.02.2025):
```
conda install -c conda-forge xgboost
```
PaddlePaddle (π₯45 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.7K Β· π₯ 15K Β· π¦ 7K Β· π 19K - 8% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.3K Β· π 5.7K Β· π₯ 15K Β· π¦ 7.1K Β· π 19K - 9% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 310K / month Β· π¦ 210 Β· β±οΈ 23.01.2025):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 320K / month Β· π¦ 210 Β· β±οΈ 23.01.2025):
```
pip install paddlepaddle
```
StatsModels (π₯45 Β· β 10K) - 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¦ 150K Β· π 5.7K - 50% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 450 Β· π 3.1K Β· π₯ 35 Β· π¦ 150K Β· π 5.7K - 50% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/statsmodels/statsmodels
@@ -245,7 +245,7 @@ _General-purpose machine learning and deep learning frameworks._
pytorch-lightning (π₯43 Β· β 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 990 Β· π 3.4K Β· π₯ 11K Β· π¦ 42K Β· π 7.2K - 11% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 990 Β· π 3.4K Β· π₯ 12K Β· π¦ 42K Β· π 7.2K - 11% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/Lightning-AI/lightning
@@ -259,25 +259,25 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge pytorch-lightning
```
LightGBM (π₯41 Β· β 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
+LightGBM (π₯43 Β· β 17K Β· π) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.8K Β· π₯ 280K Β· π¦ 44K Β· π 3.5K - 10% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 320 Β· π 3.9K Β· π₯ 280K Β· π¦ 45K Β· π 3.5K - 11% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 8.4M / month Β· π¦ 1.1K Β· β±οΈ 26.07.2024):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 8.2M / month Β· π¦ 1.2K Β· β±οΈ 15.02.2025):
```
pip install lightgbm
```
-- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 3.1M Β· β±οΈ 26.01.2025):
+- [Conda](https://anaconda.org/conda-forge/lightgbm) (π₯ 3.2M Β· β±οΈ 19.02.2025):
```
conda install -c conda-forge lightgbm
```
Catboost (π₯41 Β· β 8.2K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
+Catboost (π₯41 Β· β 8.3K) - 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₯ 350K Β· π¦ 16 Β· π 2.4K - 24% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.3K Β· π 1.2K Β· π₯ 360K Β· π¦ 16 Β· π 2.4K - 24% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/catboost/catboost
@@ -293,12 +293,12 @@ _General-purpose machine learning and deep learning frameworks._
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 13.02.2025):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 2K Β· π 14K Β· π¦ 21 Β· β±οΈ 20.02.2025):
```
git clone https://github.com/apache/flink
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 14M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 11M / month Β· π¦ 35 Β· β±οΈ 12.02.2025):
```
pip install apache-flink
```
@@ -310,39 +310,23 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/fastai/fastai
```
-- [PyPi](https://pypi.org/project/fastai) (π₯ 430K / month Β· π¦ 310 Β· β±οΈ 19.10.2024):
+- [PyPi](https://pypi.org/project/fastai) (π₯ 450K / month Β· π¦ 310 Β· β±οΈ 19.10.2024):
```
pip install fastai
```
einops (π₯37 Β· β 8.7K Β· π) - Flexible and powerful tensor operations for readable and reliable code.. MIT
+Flax (π₯37 Β· β 6.4K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 33 Β· π 360 Β· π¦ 60K Β· π 190 - 17% open Β· β±οΈ 09.02.2025):
-
- ```
- git clone https://github.com/arogozhnikov/einops
- ```
-- [PyPi](https://pypi.org/project/einops) (π₯ 7.2M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
- ```
- pip install einops
- ```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 330K Β· β±οΈ 09.02.2025):
- ```
- conda install -c conda-forge einops
- ```
-Flax (π₯37 Β· β 6.3K) - Flax is a neural network library for JAX that is designed for.. Apache-2
-
-- [GitHub](https://github.com/google/flax) (π¨βπ» 250 Β· π 660 Β· π₯ 59 Β· π¦ 12K Β· π 1.1K - 32% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 250 Β· π 660 Β· π₯ 59 Β· π¦ 12K Β· π 1.1K - 32% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 1.3M / month Β· π¦ 540 Β· β±οΈ 10.02.2025):
+- [PyPi](https://pypi.org/project/flax) (π₯ 1.2M / month Β· π¦ 540 Β· β±οΈ 10.02.2025):
```
pip install flax
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 88K Β· β±οΈ 20.11.2024):
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 89K Β· β±οΈ 20.11.2024):
```
conda install -c conda-forge flax
```
@@ -354,11 +338,11 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/jina) (π₯ 120K / month Β· π¦ 27 Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/jina) (π₯ 100K / month Β· π¦ 27 Β· β±οΈ 20.12.2024):
```
pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 86K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 87K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge jina-core
```
@@ -369,24 +353,40 @@ _General-purpose machine learning and deep learning frameworks._
ivy (π₯36 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 02.02.2025):
+- [GitHub](https://github.com/ivy-llc/ivy) (π¨βπ» 1.5K Β· π 5.7K Β· π 17K - 5% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 22K / month Β· π¦ 16 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 20K / month Β· π¦ 16 Β· β±οΈ 22.01.2025):
```
pip install ivy
```
mlpack (π₯34 Β· β 5.2K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
+einops (π₯36 Β· β 8.7K Β· π) - 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¦ 61K Β· π 190 - 17% open Β· β±οΈ 09.02.2025):
+
+ ```
+ git clone https://github.com/arogozhnikov/einops
+ ```
+- [PyPi](https://pypi.org/project/einops) (π₯ 7.4M / month Β· π¦ 2.6K Β· β±οΈ 09.02.2025):
+ ```
+ pip install einops
+ ```
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 330K Β· β±οΈ 09.02.2025):
+ ```
+ conda install -c conda-forge einops
+ ```
+mlpack (π₯34 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 1.6K Β· π 1.7K - 1% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 330 Β· π 1.6K Β· π 1.7K - 1% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 7.5K / month Β· π¦ 6 Β· β±οΈ 11.12.2024):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 5.3K / month Β· π¦ 6 Β· β±οΈ 11.12.2024):
```
pip install mlpack
```
@@ -397,12 +397,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (π₯34 Β· β 4.6K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 770 Β· π 630 Β· π¦ 3.5K Β· π 1.4K - 10% open Β· β±οΈ 04.01.2025):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 780 Β· π 630 Β· π¦ 3.5K Β· π 1.4K - 10% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 130K / month Β· π¦ 100 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 100K / month Β· π¦ 100 Β· β±οΈ 20.02.2025):
```
pip install pytorch-ignite
```
@@ -413,7 +413,7 @@ _General-purpose machine learning and deep learning frameworks._
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» 66 Β· π 280 Β· π₯ 830 Β· π¦ 61K Β· π 150 - 11% open Β· β±οΈ 11.12.2024):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 66 Β· π 280 Β· π₯ 840 Β· π¦ 61K Β· π 150 - 11% open Β· β±οΈ 11.12.2024):
```
git clone https://github.com/explosion/thinc
@@ -434,7 +434,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 110K / month Β· π¦ 94 Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 100K / month Β· π¦ 94 Β· β±οΈ 10.01.2025):
```
pip install skorch
```
@@ -450,41 +450,41 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 2.4K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 2.1K / month Β· π¦ 6 Β· β±οΈ 30.07.2024):
```
pip install ludwig
```
Vowpal Wabbit (π₯32 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
+Sonnet (π₯32 Β· β 9.8K) - TensorFlow-based neural network library. Apache-2
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π¦ 1 Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
+- [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/VowpalWabbit/vowpal_wabbit
+ git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 39K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 21K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
```
- pip install vowpalwabbit
+ pip install dm-sonnet
```
-- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 320K Β· β±οΈ 27.11.2024):
+- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 39K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge vowpalwabbit
+ conda install -c conda-forge sonnet
```
Sonnet (π₯31 Β· β 9.8K) - TensorFlow-based neural network library. Apache-2
+Vowpal Wabbit (π₯32 Β· β 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/google-deepmind/sonnet) (π¨βπ» 60 Β· π 1.3K Β· π¦ 1.4K Β· π 190 - 16% open Β· β±οΈ 30.01.2025):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π¦ 1 Β· π 1.3K - 10% open Β· β±οΈ 01.08.2024):
```
- git clone https://github.com/deepmind/sonnet
+ git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 21K / month Β· π¦ 19 Β· β±οΈ 02.01.2024):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 38K / month Β· π¦ 40 Β· β±οΈ 08.08.2024):
```
- pip install dm-sonnet
+ pip install vowpalwabbit
```
-- [Conda](https://anaconda.org/conda-forge/sonnet) (π₯ 39K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (π₯ 320K Β· β±οΈ 27.11.2024):
```
- conda install -c conda-forge sonnet
+ conda install -c conda-forge vowpalwabbit
```
Haiku (π₯31 Β· β 3K) - JAX-based neural network library. Apache-2
@@ -510,7 +510,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 4.1K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 3.9K / month Β· π¦ 12 Β· β±οΈ 09.09.2024):
```
pip install geomstats
```
@@ -521,60 +521,72 @@ _General-purpose machine learning and deep learning frameworks._
tensorflow-upstream (π₯31 Β· β 690) - TensorFlow ROCm port. Apache-2
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.8K Β· π 98 Β· π₯ 27 Β· π 390 - 13% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.8K Β· π 97 Β· π₯ 27 Β· π 390 - 9% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 5.8K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.5K / month Β· π¦ 9 Β· β±οΈ 10.01.2024):
```
pip install tensorflow-rocm
```
Determined (π₯29 Β· β 3.1K) - Determined is an open-source machine learning platform.. Apache-2
+Determined (π₯28 Β· β 3.1K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 12K Β· π 450 - 21% open Β· β±οΈ 05.02.2025):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 360 Β· π₯ 12K Β· π 450 - 22% open Β· β±οΈ 05.02.2025):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 26K / month Β· π¦ 4 Β· β±οΈ 22.11.2024):
+- [PyPi](https://pypi.org/project/determined) (π₯ 24K / month Β· π¦ 4 Β· β±οΈ 14.02.2025):
```
pip install determined
```
NuPIC (π₯28 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
+NuPIC (π₯27 Β· β 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT
- [GitHub](https://github.com/numenta/nupic-legacy) (π¨βπ» 120 Β· π 1.6K Β· π₯ 18 Β· π¦ 21 Β· π 1.8K - 25% open Β· β±οΈ 03.12.2024):
```
git clone https://github.com/numenta/nupic
```
-- [PyPi](https://pypi.org/project/nupic) (π₯ 1.7K / month Β· β±οΈ 01.09.2016):
+- [PyPi](https://pypi.org/project/nupic) (π₯ 860 / month Β· β±οΈ 01.09.2016):
```
pip install nupic
```
Neural Network Libraries (π₯27 Β· β 2.7K) - Neural Network Libraries. Apache-2
+
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 1K Β· π 95 - 36% open Β· β±οΈ 15.11.2024):
+
+ ```
+ git clone https://github.com/sony/nnabla
+ ```
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 12K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
+ ```
+ pip install nnabla
+ ```
+ktrain (π₯27 Β· β 1.2K 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¦ 560 Β· π 500 - 0% open Β· β±οΈ 09.07.2024):
+- [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₯ 7.7K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 6.3K / month Β· π¦ 4 Β· β±οΈ 19.06.2024):
```
pip install ktrain
```
pyRiemann (π₯27 Β· β 660) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 36 Β· π 160 Β· π¦ 430 Β· π 110 - 2% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 36 Β· π 160 Β· π¦ 430 Β· π 110 - 2% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 40K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 45K / month Β· π¦ 28 Β· β±οΈ 12.02.2025):
```
pip install pyriemann
```
@@ -583,18 +595,6 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge pyriemann
```
Neural Network Libraries (π₯26 Β· β 2.7K) - Neural Network Libraries. Apache-2
-
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 1K Β· π 95 - 36% open Β· β±οΈ 15.11.2024):
-
- ```
- git clone https://github.com/sony/nnabla
- ```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 19K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
- ```
- pip install nnabla
- ```
-Towhee (π₯24 Β· β 3.3K) - 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 250 Β· π₯ 2.7K Β· π 670 - 0% open Β· β±οΈ 18.10.2024):
@@ -602,7 +602,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 17K / month Β· β±οΈ 04.12.2023):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 16K / month Β· β±οΈ 04.12.2023):
```
pip install towhee
```
@@ -621,12 +621,12 @@ _General-purpose machine learning and deep learning frameworks._
Runhouse (π₯24 Β· β 1K) - The Runhouse Python client. Distribute and run AI workloads magically.. Apache-2
-- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 16 Β· π 38 Β· π₯ 69 Β· π 51 - 17% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/run-house/runhouse) (π¨βπ» 16 Β· π 38 Β· π₯ 69 Β· π 51 - 17% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/run-house/runhouse
```
-- [PyPi](https://pypi.org/project/runhouse) (π₯ 37K / month Β· π¦ 1 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/runhouse) (π₯ 33K / month Β· π¦ 1 Β· β±οΈ 19.02.2025):
```
pip install runhouse
```
@@ -638,7 +638,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.9K / month Β· β±οΈ 14.08.2024):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 2.5K / month Β· β±οΈ 14.08.2024):
```
pip install fklearn
```
@@ -670,7 +670,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 6.6K / month Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 6.3K / month Β· β±οΈ 30.10.2024):
```
pip install chefboost
```
@@ -682,7 +682,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/neoml-lib/neoml
```
-- [PyPi](https://pypi.org/project/neoml) (π₯ 960 / month Β· β±οΈ 26.12.2023):
+- [PyPi](https://pypi.org/project/neoml) (π₯ 420 / month Β· β±οΈ 26.12.2023):
```
pip install neoml
```
@@ -693,13 +693,13 @@ _General-purpose machine learning and deep learning frameworks._
- dlib (π₯38 Β· β 14K) - A toolkit for making real world machine learning and data analysis.. βοΈBSL-1.0
- Theano (π₯37 Β· β 9.9K Β· π) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
- MindsDB (π₯33 Β· β 27K) - AGIs query engine - Platform for building AI that can.. βοΈMulanPSL-1.0 BSD-3
- tensorpack (π₯33 Β· β 6.3K Β· π) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 MIT
+- Turi Create (π₯32 Β· β 11K Β· π) - Turi Create simplifies the development of custom machine.. BSD-3
- TFlearn (π₯31 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow. MIT Apache-2
- CNTK (π₯29 Β· β 18K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
-- Lasagne (π₯28 Β· β 3.9K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
+- Lasagne (π₯28 Β· β 3.8K Β· π) - Lightweight library to build and train neural networks in Theano. MIT
- EvaDB (π₯27 Β· β 2.7K Β· π) - Database system for AI-powered apps. Apache-2 BSD-3
- xLearn (π₯24 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
@@ -722,7 +722,7 @@ _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 7.7K Β· π¦ 1.5M Β· π 11K - 14% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.8K Β· π 7.7K Β· π¦ 1.6M Β· π 11K - 14% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/matplotlib/matplotlib
@@ -736,18 +736,18 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge matplotlib
```
Plotly (π₯46 Β· β 17K) - The interactive graphing library for Python This project now includes.. MIT
+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₯ 26 Β· π¦ 360K Β· π 3.1K - 19% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/plotly/plotly.py) (π¨βπ» 280 Β· π 2.6K Β· π₯ 40 Β· π¦ 370K Β· π 3.1K - 19% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/plotly/plotly.py
```
-- [PyPi](https://pypi.org/project/plotly) (π₯ 20M / month Β· π¦ 7.3K Β· β±οΈ 28.01.2025):
+- [PyPi](https://pypi.org/project/plotly) (π₯ 19M / month Β· π¦ 7.3K Β· β±οΈ 28.01.2025):
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 8.3M Β· β±οΈ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 8.4M Β· β±οΈ 31.01.2025):
```
conda install -c conda-forge plotly
```
@@ -758,12 +758,12 @@ _General-purpose and task-specific data visualization libraries._
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¦ 98K Β· π 7.9K - 10% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 710 Β· π 4.2K Β· π¦ 98K Β· π 7.9K - 10% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.1M / month Β· π¦ 1.9K Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 4M / month Β· π¦ 1.9K Β· β±οΈ 13.02.2025):
```
pip install bokeh
```
@@ -774,12 +774,12 @@ _General-purpose and task-specific data visualization libraries._
dash (π₯43 Β· β 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 170 Β· π 2.1K Β· π₯ 88 Β· π¦ 77K Β· π 1.9K - 27% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 170 Β· π 2.1K Β· π₯ 88 Β· π¦ 78K Β· π 1.9K - 27% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/plotly/dash
```
-- [PyPi](https://pypi.org/project/dash) (π₯ 4.9M / month Β· π¦ 1.5K Β· β±οΈ 28.01.2025):
+- [PyPi](https://pypi.org/project/dash) (π₯ 4.7M / month Β· π¦ 1.5K Β· β±οΈ 18.02.2025):
```
pip install dash
```
@@ -788,53 +788,53 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge dash
```
Altair (π₯43 Β· β 9.6K) - Declarative visualization library for Python. BSD-3
+Seaborn (π₯42 Β· β 13K) - Statistical data visualization in Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 170 Β· π 790 Β· π₯ 220 Β· π¦ 200K Β· π 2.1K - 6% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 470 Β· π¦ 570K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
```
- git clone https://github.com/altair-viz/altair
+ git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 25M / month Β· π¦ 920 Β· β±οΈ 23.11.2024):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 22M / month Β· π¦ 11K Β· β±οΈ 25.01.2024):
```
- pip install altair
+ pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.6M Β· β±οΈ 15.12.2024):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 12M Β· β±οΈ 09.12.2024):
```
- conda install -c conda-forge altair
+ conda install -c conda-forge seaborn
```
Seaborn (π₯42 Β· β 13K) - Statistical data visualization in Python. BSD-3
+Altair (π₯42 Β· β 9.6K Β· π) - Declarative visualization library for Python. BSD-3
-- [GitHub](https://github.com/mwaskom/seaborn) (π¨βπ» 220 Β· π 1.9K Β· π₯ 470 Β· π¦ 560K Β· π 2.6K - 6% open Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 180 Β· π 790 Β· π₯ 220 Β· π¦ 200K Β· π 2.1K - 6% open Β· β±οΈ 17.02.2025):
```
- git clone https://github.com/mwaskom/seaborn
+ git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 22M / month Β· π¦ 11K Β· β±οΈ 25.01.2024):
+- [PyPi](https://pypi.org/project/altair) (π₯ 25M / month Β· π¦ 920 Β· β±οΈ 23.11.2024):
```
- pip install seaborn
+ pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 12M Β· β±οΈ 09.12.2024):
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.6M Β· β±οΈ 15.12.2024):
```
- conda install -c conda-forge seaborn
+ conda install -c conda-forge altair
```
FiftyOne (π₯38 Β· β 9.2K) - Visualize, create, and debug image and video datasets.. Apache-2 
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 150 Β· π 590 Β· π¦ 820 Β· π 1.6K - 32% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 150 Β· π 590 Β· π¦ 830 Β· π 1.6K - 32% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 67K / month Β· π¦ 25 Β· β±οΈ 24.01.2025):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 71K / month Β· π¦ 25 Β· β±οΈ 24.01.2025):
```
pip install fiftyone
```
PyVista (π₯38 Β· β 2.9K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 170 Β· π 520 Β· π₯ 870 Β· π¦ 4.1K Β· π 1.8K - 36% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 170 Β· π 530 Β· π₯ 870 Β· π¦ 4.1K Β· π 1.8K - 36% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/pyvista/pyvista
@@ -850,12 +850,12 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (π₯37 Β· β 13K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 260 Β· π¦ 5.4K Β· π 820 - 28% open Β· β±οΈ 24.01.2025):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 130 Β· π 1.7K Β· π₯ 260 Β· π¦ 5.4K Β· π 820 - 28% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 430K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 420K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
@@ -864,34 +864,34 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pandas-profiling
```
HoloViews (π₯37 Β· β 2.7K) - With Holoviews, your data visualizes itself. BSD-3
+HoloViews (π₯37 Β· β 2.8K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 400 Β· π¦ 14K Β· π 3.4K - 33% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 150 Β· π 400 Β· π¦ 14K Β· π 3.4K - 33% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 450K / month Β· π¦ 400 Β· β±οΈ 11.11.2024):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 460K / month Β· π¦ 420 Β· β±οΈ 19.02.2025):
```
pip install holoviews
```
-- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 2M Β· β±οΈ 13.12.2024):
+- [Conda](https://anaconda.org/conda-forge/holoviews) (π₯ 2M Β· β±οΈ 19.02.2025):
```
conda install -c conda-forge holoviews
```
-- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 360 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
+- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (π₯ 270 / month Β· π¦ 5 Β· β±οΈ 14.01.2025):
```
npm install @pyviz/jupyterlab_pyviz
```
pyecharts (π₯36 Β· β 15K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 72 Β· π¦ 4.9K Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 45 Β· π 2.9K Β· π₯ 72 Β· π¦ 5K Β· π 1.9K - 0% open Β· β±οΈ 26.01.2025):
```
git clone https://github.com/pyecharts/pyecharts
```
-- [PyPi](https://pypi.org/project/pyecharts) (π₯ 300K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
+- [PyPi](https://pypi.org/project/pyecharts) (π₯ 320K / month Β· π¦ 220 Β· β±οΈ 24.01.2025):
```
pip install pyecharts
```
@@ -903,7 +903,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 360K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 350K / month Β· π¦ 1K Β· β±οΈ 29.04.2024):
```
pip install pyqtgraph
```
@@ -912,36 +912,36 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pyqtgraph
```
plotnine (π₯35 Β· β 4.1K) - A Grammar of Graphics for Python. MIT
+Graphviz (π₯36 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 10K Β· π 700 - 11% open Β· β±οΈ 02.01.2025):
+- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 82K Β· π 180 - 6% open Β· β±οΈ 13.05.2024):
```
- git clone https://github.com/has2k1/plotnine
+ git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/plotnine) (π₯ 3M / month Β· π¦ 340 Β· β±οΈ 02.01.2025):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 15M / month Β· π¦ 2.9K Β· β±οΈ 21.03.2024):
```
- pip install plotnine
+ pip install graphviz
```
-- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 440K Β· β±οΈ 02.01.2025):
+- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 52K Β· β±οΈ 18.02.2025):
```
- conda install -c conda-forge plotnine
+ conda install -c anaconda python-graphviz
```
Graphviz (π₯35 Β· β 1.7K Β· π€) - Simple Python interface for Graphviz. MIT
+plotnine (π₯35 Β· β 4.1K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/xflr6/graphviz) (π¨βπ» 23 Β· π 210 Β· π¦ 82K Β· π 180 - 6% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 230 Β· π¦ 11K Β· π 700 - 11% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/xflr6/graphviz
+ git clone https://github.com/has2k1/plotnine
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 16M / month Β· π¦ 2.6K Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/plotnine) (π₯ 2.8M / month Β· π¦ 340 Β· β±οΈ 02.01.2025):
```
- pip install graphviz
+ pip install plotnine
```
-- [Conda](https://anaconda.org/anaconda/python-graphviz) (π₯ 52K Β· β±οΈ 08.04.2024):
+- [Conda](https://anaconda.org/conda-forge/plotnine) (π₯ 440K Β· β±οΈ 02.01.2025):
```
- conda install -c anaconda python-graphviz
+ conda install -c conda-forge plotnine
```
cartopy (π₯35 Β· β 1.5K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
@@ -951,7 +951,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 420K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 430K / month Β· π¦ 720 Β· β±οΈ 08.10.2024):
```
pip install cartopy
```
@@ -978,27 +978,27 @@ _General-purpose and task-specific data visualization libraries._
Perspective (π₯34 Β· β 8.8K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 98 Β· π 1.2K Β· π₯ 8.7K Β· π¦ 160 Β· π 860 - 12% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 98 Β· π 1.2K Β· π₯ 9K Β· π¦ 160 Β· π 860 - 12% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 20K / month Β· π¦ 28 Β· β±οΈ 10.02.2025):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 15K / month Β· π¦ 28 Β· β±οΈ 10.02.2025):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 1.8M Β· β±οΈ 10.02.2025):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 1.9M Β· β±οΈ 10.02.2025):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 760 / month Β· π¦ 6 Β· β±οΈ 10.02.2025):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 700 / month Β· π¦ 6 Β· β±οΈ 10.02.2025):
```
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» 61 Β· π 370 Β· π¦ 5.5K Β· π 600 - 23% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 61 Β· π 370 Β· π¦ 5.5K Β· π 600 - 23% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/holoviz/datashader
@@ -1014,12 +1014,12 @@ _General-purpose and task-specific data visualization libraries._
UMAP (π₯33 Β· β 7.6K) - Uniform Manifold Approximation and Projection. BSD-3
-- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 820 Β· π¦ 1 Β· π 830 - 58% open Β· β±οΈ 29.11.2024):
+- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 140 Β· π 820 Β· π¦ 1 Β· π 840 - 59% open Β· β±οΈ 29.11.2024):
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.8M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.7M / month Β· π¦ 1.1K Β· β±οΈ 28.10.2024):
```
pip install umap-learn
```
@@ -1030,7 +1030,7 @@ _General-purpose and task-specific data visualization libraries._
VisPy (π₯33 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¦ 1.8K Β· π 1.5K - 24% open Β· β±οΈ 22.01.2025):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.9K Β· π 1.5K - 24% open Β· β±οΈ 22.01.2025):
```
git clone https://github.com/vispy/vispy
@@ -1048,9 +1048,21 @@ _General-purpose and task-specific data visualization libraries._
npm install vispy
```
lets-plot (π₯32 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
+
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 160 Β· π 680 - 24% open Β· β±οΈ 20.02.2025):
+
+ ```
+ git clone https://github.com/JetBrains/lets-plot
+ ```
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 24K / month Β· π¦ 15 Β· β±οΈ 19.02.2025):
+ ```
+ pip install lets-plot
+ ```
+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¦ 6.5K Β· π 840 - 43% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 51 Β· π 110 Β· π¦ 6.6K Β· π 850 - 43% open Β· β±οΈ 11.02.2025):
```
git clone https://github.com/holoviz/hvplot
@@ -1059,12 +1071,12 @@ _General-purpose and task-specific data visualization libraries._
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 710K Β· β±οΈ 16.12.2024):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 720K Β· β±οΈ 16.12.2024):
```
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) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3
- [GitHub](https://github.com/mpld3/mpld3) (π¨βπ» 53 Β· π 360 Β· π¦ 7K Β· π 370 - 59% open Β· β±οΈ 30.10.2024):
@@ -1079,23 +1091,11 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge mpld3
```
-- [npm](https://www.npmjs.com/package/mpld3) (π₯ 940 / 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
```
lets-plot (π₯31 Β· β 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 21 Β· π 53 Β· π₯ 3.2K Β· π¦ 160 Β· π 670 - 24% open Β· β±οΈ 12.02.2025):
-
- ```
- git clone https://github.com/JetBrains/lets-plot
- ```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 31K / month Β· π¦ 15 Β· β±οΈ 17.12.2024):
- ```
- pip install lets-plot
- ```
-D-Tale (π₯30 Β· β 4.8K) - Visualizer for pandas data structures. βοΈLGPL-2.1
- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 410 Β· π¦ 1.4K Β· π 600 - 10% open Β· β±οΈ 13.12.2024):
@@ -1103,7 +1103,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 98K / month Β· π¦ 48 Β· β±οΈ 13.12.2024):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 99K / month Β· π¦ 48 Β· β±οΈ 13.12.2024):
```
pip install dtale
```
@@ -1119,7 +1119,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/bqplot/bqplot
```
-- [PyPi](https://pypi.org/project/bqplot) (π₯ 170K / month Β· π¦ 110 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/bqplot) (π₯ 180K / month Β· π¦ 110 Β· β±οΈ 24.12.2024):
```
pip install bqplot
```
@@ -1127,7 +1127,7 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge bqplot
```
-- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2.2K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
+- [npm](https://www.npmjs.com/package/bqplot) (π₯ 2.1K / month Β· π¦ 21 Β· β±οΈ 24.12.2024):
```
npm install bqplot
```
@@ -1139,7 +1139,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 18K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 17K / month Β· π¦ 11 Β· β±οΈ 10.06.2024):
```
pip install autoviz
```
@@ -1150,12 +1150,12 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (π₯26 Β· β 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3
-- [GitHub](https://github.com/pavlin-policar/openTSNE) (π¨βπ» 13 Β· π 170 Β· π¦ 970 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¦ 980 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₯ 44K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 41K / month Β· π¦ 47 Β· β±οΈ 13.08.2024):
```
pip install opentsne
```
@@ -1171,7 +1171,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/tensorflow/data-validation
```
-- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 170K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-data-validation) (π₯ 160K / month Β· π¦ 31 Β· β±οΈ 15.10.2024):
```
pip install tensorflow-data-validation
```
@@ -1183,7 +1183,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 1.9K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 1.4K / month Β· π¦ 9 Β· β±οΈ 16.10.2024):
```
pip install chartify
```
@@ -1199,23 +1199,23 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/ContextLab/hypertools
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 570 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 470 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
pip install hypertools
```
Plotly-Resampler (π₯25 Β· β 1.1K) - Visualize large time series data with plotly.py. MIT
-- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 14 Β· π 71 Β· π¦ 1.7K Β· π 180 - 32% open Β· β±οΈ 15.12.2024):
+- [GitHub](https://github.com/predict-idlab/plotly-resampler) (π¨βπ» 14 Β· π 71 Β· π¦ 1.7K Β· π 180 - 31% open Β· β±οΈ 15.12.2024):
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 410K / month Β· π¦ 24 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 420K / month Β· π¦ 24 Β· β±οΈ 27.03.2024):
```
pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 94K Β· β±οΈ 05.12.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 96K Β· β±οΈ 05.12.2024):
```
conda install -c conda-forge plotly-resampler
```
@@ -1227,11 +1227,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 21K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 22K / month Β· π¦ 32 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 97K Β· β±οΈ 03.01.2025):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 98K Β· β±οΈ 03.01.2025):
```
conda install -c conda-forge python-ternary
```
@@ -1247,7 +1247,7 @@ _General-purpose and task-specific data visualization libraries._
```
pip install MulticoreTSNE
```
-- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 67K Β· β±οΈ 11.10.2023):
+- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (π₯ 68K Β· β±οΈ 11.10.2023):
```
conda install -c conda-forge multicore-tsne
```
@@ -1263,19 +1263,19 @@ _General-purpose and task-specific data visualization libraries._
```
pip install vega
```
-- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 700K Β· β±οΈ 25.09.2024):
+- [Conda](https://anaconda.org/conda-forge/vega) (π₯ 710K Β· β±οΈ 25.09.2024):
```
conda install -c conda-forge vega
```
PyWaffle (π₯22 Β· β 590 Β· π€) - Make Waffle Charts in Python. MIT
+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¦ 460 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₯ 12K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
+- [PyPi](https://pypi.org/project/pywaffle) (π₯ 11K / month Β· π¦ 6 Β· β±οΈ 16.06.2024):
```
pip install pywaffle
```
@@ -1284,14 +1284,26 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge pywaffle
```
vegafusion (π₯22 Β· β 350) - Serverside scaling for Vega and Altair visualizations. BSD-3
+Popmon (π₯22 Β· β 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
-- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 5 Β· π 18 Β· π₯ 9.8K Β· π 140 - 36% open Β· β±οΈ 25.11.2024):
+- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 19 Β· π 36 Β· π₯ 260 Β· π¦ 22 Β· π 57 - 28% open Β· β±οΈ 24.01.2025):
+
+ ```
+ git clone https://github.com/ing-bank/popmon
+ ```
+- [PyPi](https://pypi.org/project/popmon) (π₯ 8.7K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
+ ```
+ pip install popmon
+ ```
+vegafusion (π₯21 Β· β 350) - Serverside scaling for Vega and Altair visualizations. BSD-3
+
+- [GitHub](https://github.com/vega/vegafusion) (π¨βπ» 5 Β· π 18 Β· π₯ 10K Β· π 140 - 37% open Β· β±οΈ 25.11.2024):
```
git clone https://github.com/vegafusion/vegafusion
```
-- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 3K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/vegafusion-jupyter) (π₯ 2.2K / month Β· π¦ 2 Β· β±οΈ 09.05.2024):
```
pip install vegafusion-jupyter
```
@@ -1299,23 +1311,11 @@ _General-purpose and task-specific data visualization libraries._
```
conda install -c conda-forge vegafusion-python-embed
```
-- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 98 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
+- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (π₯ 91 / month Β· π¦ 3 Β· β±οΈ 09.05.2024):
```
npm install vegafusion-jupyter
```
Popmon (π₯21 Β· β 500) - Monitor the stability of a Pandas or Spark dataframe. MIT
-
-- [GitHub](https://github.com/ing-bank/popmon) (π¨βπ» 19 Β· π 36 Β· π₯ 260 Β· π¦ 22 Β· π 57 - 28% open Β· β±οΈ 24.01.2025):
-
- ```
- git clone https://github.com/ing-bank/popmon
- ```
-- [PyPi](https://pypi.org/project/popmon) (π₯ 7.7K / month Β· π¦ 4 Β· β±οΈ 24.01.2025):
- ```
- pip install popmon
- ```
-ivis (π₯19 Β· β 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 44 Β· π¦ 36 Β· π 60 - 5% open Β· β±οΈ 29.09.2024):
@@ -1323,7 +1323,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 1.2K / month Β· π¦ 2 Β· β±οΈ 13.06.2024):
```
pip install ivis
```
@@ -1335,7 +1335,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/t-makaro/animatplot
```
-- [PyPi](https://pypi.org/project/animatplot) (π₯ 450 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
+- [PyPi](https://pypi.org/project/animatplot) (π₯ 430 / month Β· π¦ 4 Β· β±οΈ 29.08.2024):
```
pip install animatplot
```
@@ -1373,23 +1373,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯52 Β· β 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.1K Β· π 28K Β· π¦ 290K Β· π 17K - 9% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 3.1K Β· π 28K Β· π¦ 290K Β· π 17K - 8% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 43M / month Β· π¦ 7.6K Β· β±οΈ 07.02.2025):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 45M / month Β· π¦ 7.7K Β· β±οΈ 17.02.2025):
```
pip install transformers
```
-- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.5M Β· β±οΈ 07.02.2025):
+- [Conda](https://anaconda.org/conda-forge/transformers) (π₯ 2.5M Β· β±οΈ 17.02.2025):
```
conda install -c conda-forge transformers
```
nltk (π₯45 Β· β 14K Β· π) - 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¦ 350K Β· π 1.9K - 14% open Β· β±οΈ 20.02.2025):
+
+ ```
+ git clone https://github.com/nltk/nltk
+ ```
+- [PyPi](https://pypi.org/project/nltk) (π₯ 25M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
+ ```
+ pip install nltk
+ ```
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 3M Β· β±οΈ 16.12.2024):
+ ```
+ conda install -c conda-forge nltk
+ ```
+spaCy (π₯44 Β· β 31K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT
-- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 1.5K Β· π¦ 110K Β· π 5.7K - 3% open Β· β±οΈ 03.02.2025):
+- [GitHub](https://github.com/explosion/spaCy) (π¨βπ» 760 Β· π 4.4K Β· π₯ 1.5K Β· π¦ 120K Β· π 5.7K - 3% open Β· β±οΈ 03.02.2025):
```
git clone https://github.com/explosion/spaCy
@@ -1403,46 +1419,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy
```
litellm (π₯44 Β· β 17K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
+litellm (π₯44 Β· β 18K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 400 Β· π 2.1K Β· π₯ 440 Β· π¦ 7.4K Β· π 4.6K - 26% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 410 Β· π 2.2K Β· π₯ 410 Β· π¦ 7.7K Β· π 4.7K - 26% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 5.5M / month Β· π¦ 800 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 5.6M / month Β· π¦ 840 Β· β±οΈ 20.02.2025):
```
pip install litellm
```
nltk (π₯44 Β· β 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
-
-- [GitHub](https://github.com/nltk/nltk) (π¨βπ» 460 Β· π 2.9K Β· π¦ 350K Β· π 1.9K - 14% open Β· β±οΈ 13.02.2025):
-
- ```
- git clone https://github.com/nltk/nltk
- ```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 26M / month Β· π¦ 4.7K Β· β±οΈ 18.08.2024):
- ```
- pip install nltk
- ```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 3M Β· β±οΈ 16.12.2024):
- ```
- conda install -c conda-forge nltk
- ```
-sentence-transformers (π₯42 Β· β 16K) - State-of-the-Art Text Embeddings. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 210 Β· π 2.5K Β· π¦ 71K Β· π 2.3K - 52% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 210 Β· π 2.5K Β· π¦ 73K Β· π 2.3K - 52% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 7.5M / month Β· π¦ 2.1K Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 7.4M / month Β· π¦ 2.1K Β· β±οΈ 29.01.2025):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 540K Β· β±οΈ 30.01.2025):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 550K Β· β±οΈ 30.01.2025):
```
conda install -c conda-forge sentence-transformers
```
@@ -1454,7 +1454,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 140K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/flair) (π₯ 150K / month Β· π¦ 150 Β· β±οΈ 05.02.2025):
```
pip install flair
```
@@ -1465,7 +1465,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Tokenizers (π₯40 Β· β 9.4K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 820 Β· π₯ 73 Β· π¦ 140K Β· π 1K - 5% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 110 Β· π 820 Β· π₯ 73 Β· π¦ 140K Β· π 1K - 6% open Β· β±οΈ 11.02.2025):
```
git clone https://github.com/huggingface/tokenizers
@@ -1486,19 +1486,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 280K / month Β· π¦ 60 Β· β±οΈ 14.01.2025):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 250K / month Β· π¦ 60 Β· β±οΈ 14.01.2025):
```
pip install rasa
```
gensim (π₯38 Β· β 16K) - Topic Modelling for Humans. βοΈLGPL-2.1
-- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 5.8K Β· π¦ 71K Β· π 1.9K - 20% open Β· β±οΈ 05.12.2024):
+- [GitHub](https://github.com/piskvorky/gensim) (π¨βπ» 460 Β· π 4.4K Β· π₯ 5.8K Β· π¦ 71K Β· π 1.9K - 20% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 4.5M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.4M / month Β· π¦ 1.4K Β· β±οΈ 19.07.2024):
```
pip install gensim
```
@@ -1507,21 +1507,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge gensim
```
ChatterBot (π₯38 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
+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¦ 6.1K Β· π 1.7K - 21% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/gunthercox/ChatterBot) (π¨βπ» 110 Β· π 4.5K Β· π¦ 6.1K Β· π 1.7K - 15% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/gunthercox/ChatterBot
```
-- [PyPi](https://pypi.org/project/chatterbot) (π₯ 34K / month Β· π¦ 18 Β· β±οΈ 09.02.2025):
+- [PyPi](https://pypi.org/project/chatterbot) (π₯ 35K / month Β· π¦ 18 Β· β±οΈ 19.02.2025):
```
pip install chatterbot
```
TextBlob (π₯38 Β· β 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
+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¦ 49K Β· π 280 - 34% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.2K Β· π₯ 120 Β· π¦ 50K Β· π 280 - 34% open Β· β±οΈ 11.02.2025):
```
git clone https://github.com/sloria/TextBlob
@@ -1546,31 +1546,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 130K Β· β±οΈ 24.11.2024):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 130K Β· β±οΈ 15.02.2025):
```
conda install -c conda-forge fairseq
```
NeMo (π₯37 Β· β 13K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 390 Β· π 2.7K Β· π₯ 330K Β· π¦ 21 Β· π 2.5K - 5% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 390 Β· π 2.7K Β· π₯ 340K Β· π¦ 21 Β· π 2.5K - 5% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 82K / month Β· π¦ 14 Β· β±οΈ 04.02.2025):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 77K / month Β· π¦ 14 Β· β±οΈ 17.02.2025):
```
pip install nemo-toolkit
```
sentencepiece (π₯37 Β· β 11K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 51K Β· π¦ 94K Β· π 760 - 5% open Β· β±οΈ 18.08.2024):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 89 Β· π 1.2K Β· π₯ 52K Β· π¦ 95K Β· π 760 - 5% open Β· β±οΈ 18.08.2024):
```
git clone https://github.com/google/sentencepiece
```
-- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 22M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/sentencepiece) (π₯ 23M / month Β· π¦ 1.7K Β· β±οΈ 19.02.2024):
```
pip install sentencepiece
```
@@ -1579,45 +1579,45 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge sentencepiece
```
TensorFlow Text (π₯36 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
+haystack (π₯36 Β· β 19K Β· π) - AI orchestration framework to build customizable, production-.. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 170 Β· π 350 Β· π¦ 8K Β· π 360 - 52% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 280 Β· π 2.1K Β· π¦ 870 Β· π 3.7K - 2% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/tensorflow/text
+ git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7.1M / month Β· π¦ 220 Β· β±οΈ 16.12.2024):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 5.5K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
- pip install tensorflow-text
+ pip install haystack
```
haystack (π₯35 Β· β 19K) - AI orchestration framework to build customizable, production-ready.. Apache-2
+TensorFlow Text (π₯36 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 280 Β· π 2K Β· π¦ 850 Β· π 3.7K - 3% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 170 Β· π 350 Β· π¦ 8.1K Β· π 360 - 52% open Β· β±οΈ 19.02.2025):
```
- git clone https://github.com/deepset-ai/haystack
+ git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 6.1K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 6.9M / month Β· π¦ 220 Β· β±οΈ 16.12.2024):
```
- pip install haystack
+ pip install tensorflow-text
```
spark-nlp (π₯35 Β· β 3.9K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 720 Β· π¦ 550 Β· π 910 - 4% open Β· β±οΈ 30.01.2025):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 720 Β· π¦ 560 Β· π 910 - 4% open Β· β±οΈ 30.01.2025):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
```
-- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.4M / month Β· π¦ 37 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/spark-nlp) (π₯ 4.3M / month Β· π¦ 37 Β· β±οΈ 30.01.2025):
```
pip install spark-nlp
```
fastText (π₯34 Β· β 26K Β· π€) - Library for fast text representation and classification. MIT
-- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 7.2K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 7.3K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
```
git clone https://github.com/facebookresearch/fastText
@@ -1638,7 +1638,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 290K / month Β· π¦ 200 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 300K / month Β· π¦ 200 Β· β±οΈ 24.12.2024):
```
pip install stanza
```
@@ -1649,7 +1649,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (π₯33 Β· β 22K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.5K Β· π₯ 320K Β· π¦ 120 Β· π 1.4K - 24% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 130 Β· π 1.5K Β· π₯ 330K Β· π¦ 120 Β· π 1.4K - 24% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/qdrant/qdrant
@@ -1662,19 +1662,19 @@ _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₯ 17K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 16K / month Β· π¦ 23 Β· β±οΈ 18.03.2024):
```
pip install OpenNMT-py
```
rubrix (π₯33 Β· β 4.3K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 110 Β· π 400 Β· π¦ 2.9K Β· π 2.2K - 2% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 110 Β· π 410 Β· π¦ 2.9K Β· π 2.2K - 2% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 6.1K / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 3.8K / month Β· β±οΈ 24.10.2022):
```
pip install rubrix
```
@@ -1690,7 +1690,7 @@ _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₯ 640K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 610K / month Β· π¦ 280 Β· β±οΈ 24.04.2024):
```
pip install torchtext
```
@@ -1702,7 +1702,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jamesturk/jellyfish
```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 6.4M / month Β· π¦ 280 Β· β±οΈ 14.12.2024):
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 6.1M / month Β· π¦ 280 Β· β±οΈ 14.12.2024):
```
pip install jellyfish
```
@@ -1713,12 +1713,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
ftfy (π₯32 Β· β 3.9K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2
-- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 35 Β· π¦ 27K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
+- [GitHub](https://github.com/rspeer/python-ftfy) (π¨βπ» 20 Β· π 120 Β· π₯ 38 Β· π¦ 27K Β· π 150 - 6% open Β· β±οΈ 30.10.2024):
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.7M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 5.9M / month Β· π¦ 570 Β· β±οΈ 26.10.2024):
```
pip install ftfy
```
@@ -1729,7 +1729,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
snowballstemmer (π₯31 Β· β 770) - Snowball compiler and stemming algorithms. BSD-3
-- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 35 Β· π 170 Β· π¦ 10 Β· π 91 - 27% open Β· β±οΈ 30.01.2025):
+- [GitHub](https://github.com/snowballstem/snowball) (π¨βπ» 35 Β· π 170 Β· π¦ 10 Β· π 91 - 27% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/snowballstem/snowball
@@ -1738,7 +1738,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install snowballstemmer
```
-- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.2M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (π₯ 9.3M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge snowballstemmer
```
@@ -1750,7 +1750,7 @@ _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₯ 11K / month Β· π¦ 4 Β· β±οΈ 12.08.2024):
```
pip install deeppavlov
```
@@ -1762,23 +1762,23 @@ _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₯ 88K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/dedupe) (π₯ 82K / month Β· π¦ 19 Β· β±οΈ 15.08.2024):
```
pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 96K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 97K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dedupe
```
Sumy (π₯29 Β· β 3.5K Β· π€) - Module for automatic summarization of text documents and HTML pages. Apache-2
+Sumy (π₯29 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¦ 3.5K 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¦ 3.6K 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₯ 140K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 130K / month Β· π¦ 31 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
@@ -1794,11 +1794,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 920K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 950K / month Β· π¦ 99 Β· β±οΈ 16.07.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 730K Β· β±οΈ 05.01.2025):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 740K Β· β±οΈ 05.01.2025):
```
conda install -c conda-forge textdistance
```
@@ -1810,7 +1810,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/explosion/spacy-transformers
```
-- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 220K / month Β· π¦ 98 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/spacy-transformers) (π₯ 200K / month Β· π¦ 98 Β· β±οΈ 06.02.2025):
```
pip install spacy-transformers
```
@@ -1819,26 +1819,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy-transformers
```
Opik (π₯28 Β· β 5K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
+Opik (π₯28 Β· β 5.1K) - Debug, evaluate, and monitor your LLM applications, RAG systems, and.. Apache-2
-- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 35 Β· π 330 Β· π₯ 11 Β· π 160 - 24% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/comet-ml/opik) (π¨βπ» 36 Β· π 340 Β· π₯ 11 Β· π 160 - 23% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/comet-ml/opik
```
-- [PyPi](https://pypi.org/project/opik) (π₯ 34K / month Β· π¦ 4 Β· β±οΈ 11.02.2025):
+- [PyPi](https://pypi.org/project/opik) (π₯ 36K / month Β· π¦ 4 Β· β±οΈ 19.02.2025):
```
pip install opik
```
SciSpacy (π₯28 Β· β 1.8K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2
-- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1K Β· π 320 - 9% open Β· β±οΈ 23.11.2024):
+- [GitHub](https://github.com/allenai/scispacy) (π¨βπ» 37 Β· π 230 Β· π¦ 1.1K Β· π 320 - 9% open Β· β±οΈ 23.11.2024):
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 33K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 31K / month Β· π¦ 34 Β· β±οΈ 27.10.2024):
```
pip install scispacy
```
@@ -1850,14 +1850,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 5.3K / month Β· π¦ 17 Β· β±οΈ 01.12.2024):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 4.3K / month Β· π¦ 17 Β· β±οΈ 01.12.2024):
```
pip install cltk
```
english-words (π₯27 Β· β 11K) - A text file containing 479k English words for all your.. Unlicense
-- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 34 Β· π 1.9K Β· π¦ 2 Β· π 150 - 73% open Β· β±οΈ 06.01.2025):
+- [GitHub](https://github.com/dwyl/english-words) (π¨βπ» 34 Β· π 1.9K Β· π¦ 2 Β· π 160 - 73% open Β· β±οΈ 06.01.2025):
```
git clone https://github.com/dwyl/english-words
@@ -1867,14 +1867,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install english-words
```
DeepKE (π₯27 Β· β 3.7K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
+DeepKE (π₯26 Β· β 3.7K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 33 Β· π 690 Β· π¦ 24 Β· π 600 - 1% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 1.5K / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 950 / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
@@ -1886,7 +1886,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 14K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 23.09.2024):
```
pip install scattertext
```
@@ -1897,24 +1897,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyTextRank (π₯26 Β· β 2.2K Β· π€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT
-- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 800 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/DerwenAI/pytextrank) (π¨βπ» 19 Β· π 340 Β· π¦ 810 Β· π 100 - 12% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 68K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 69K / month Β· π¦ 19 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
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₯ 870K Β· π¦ 780 Β· π 66 - 56% open Β· β±οΈ 21.01.2025):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 14 Β· π 120 Β· π₯ 890K Β· π¦ 790 Β· π 66 - 56% open Β· β±οΈ 21.01.2025):
```
git clone https://github.com/unitaryai/detoxify
```
-- [PyPi](https://pypi.org/project/detoxify) (π₯ 27K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
+- [PyPi](https://pypi.org/project/detoxify) (π₯ 28K / month Β· π¦ 30 Β· β±οΈ 01.02.2024):
```
pip install detoxify
```
@@ -1926,7 +1926,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 41K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 40K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
pip install t5
```
@@ -1938,7 +1938,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 2.3K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 1.4K / month Β· β±οΈ 03.03.2023):
```
pip install sockeye
```
@@ -1950,19 +1950,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 800 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 600 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
small-text (π₯22 Β· β 600) - Active Learning for Text Classification in Python. MIT
-- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 67 Β· π¦ 33 Β· π 65 - 26% open Β· β±οΈ 21.01.2025):
+- [GitHub](https://github.com/webis-de/small-text) (π¨βπ» 9 Β· π 68 Β· π¦ 33 Β· π 65 - 26% open Β· β±οΈ 21.01.2025):
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 1K / month Β· β±οΈ 24.11.2024):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 830 / month Β· β±οΈ 24.11.2024):
```
pip install small-text
```
@@ -1978,7 +1978,7 @@ _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₯ 2.8K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
@@ -1990,19 +1990,19 @@ _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₯ 2.6K / month Β· β±οΈ 19.08.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.6K / month Β· β±οΈ 19.08.2024):
```
pip install fast-bert
```
UForm (π₯20 Β· β 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
+UForm (π₯19 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 63 Β· π₯ 540 Β· π¦ 6 Β· π 32 - 31% open Β· β±οΈ 03.01.2025):
```
git clone https://github.com/unum-cloud/uform
```
-- [PyPi](https://pypi.org/project/uform) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
+- [PyPi](https://pypi.org/project/uform) (π₯ 920 / month Β· π¦ 2 Β· β±οΈ 03.01.2025):
```
pip install uform
```
@@ -2014,7 +2014,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 250 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 220 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
@@ -2022,7 +2022,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Show 56 hidden projects...
- AllenNLP (π₯36 Β· β 12K Β· π) - An open-source NLP research library, built on PyTorch. Apache-2 MIT MIT βοΈGPL-2.0
- nlpaug (π₯30 Β· β 4.5K Β· π) - Data augmentation for NLP. MIT
- GluonNLP (π₯29 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 
Apache-2
- Ciphey (π₯27 Β· β 19K Β· π) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT
- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
-- FARM (π₯27 Β· β 1.8K Β· π) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 Apache-2 MIT
- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
@@ -2047,7 +2047,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- Kashgari (π₯24 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2 MIT
- jiant (π₯23 Β· β 1.7K Β· π) - jiant is an nlp toolkit. MIT
-- whoosh (π₯23 Β· β 600 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
+- whoosh (π₯23 Β· β 610 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
- 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
@@ -2061,22 +2061,22 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- textpipe (π₯20 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- pyfasttext (π₯20 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
- numerizer (π₯20 Β· β 220) - A Python module to convert natural language numerics into ints and.. MIT
-- Camphr (π₯19 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
- NeuroNER (π₯18 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- nboost (π₯18 Β· β 680 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- fastT5 (π₯18 Β· β 570 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- textaugment (π₯18 Β· β 410 Β· π) - TextAugment: Text Augmentation Library. MIT
-- skift (π₯17 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT Apache-2 spacy
- OpenNRE (π₯16 Β· β 4.4K Β· π) - An Open-Source Package for Neural Relation Extraction (NRE). MIT
+- TextBox (π₯16 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
+- skift (π₯16 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
-- TextBox (π₯15 Β· β 1.1K Β· π) - TextBox 2.0 is a text generation library with pre-trained language.. MIT
- Translate (π₯15 Β· β 830 Β· π) - Translate - a PyTorch Language Library. BSD-3 Apache-2
- NeuralQA (π₯15 Β· β 230 Β· π) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT
-- Headliner (π₯15 Β· β 230 Β· π) - Easy training and deployment of seq2seq models. MIT
+- 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 Apache-2
- textvec (π₯13 Β· β 190 Β· π) - Text vectorization tool to outperform TFIDF for classification.. MIT MIT spacy
+- spacy-dbpedia-spotlight (π₯12 Β· β 110 Β· π) - A spaCy wrapper for DBpedia Spotlight. MIT spacy
@@ -2088,7 +2088,7 @@ _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¦ 2.1M Β· π 3.3K - 3% open Β· β±οΈ 09.02.2025):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 480 Β· π 2.3K Β· π¦ 2.1M Β· π 3.3K - 3% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/python-pillow/Pillow
@@ -2102,62 +2102,62 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge pillow
```
MoviePy (π₯43 Β· β 13K) - Video editing with Python. MIT
+PyTorch Image Models (π₯42 Β· β 33K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.6K Β· π¦ 54K Β· π 2K - 23% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.8K Β· π₯ 7.5M Β· π¦ 47K Β· π 960 - 5% open Β· β±οΈ 17.02.2025):
```
- git clone https://github.com/Zulko/moviepy
+ git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 2.7M / month Β· π¦ 1K Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/timm) (π₯ 6.5M / month Β· π¦ 1.1K Β· β±οΈ 19.01.2025):
```
- pip install moviepy
+ pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 290K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 320K Β· β±οΈ 20.01.2025):
```
- conda install -c conda-forge moviepy
+ conda install -c conda-forge timm
```
PyTorch Image Models (π₯42 Β· β 33K) - The largest collection of PyTorch image encoders /.. Apache-2
+MoviePy (π₯42 Β· β 13K Β· π) - Video editing with Python. MIT
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 170 Β· π 4.8K Β· π₯ 7.5M Β· π¦ 47K Β· π 960 - 5% open Β· β±οΈ 31.01.2025):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 180 Β· π 1.6K Β· π¦ 55K Β· π 2K - 23% open Β· β±οΈ 06.02.2025):
```
- git clone https://github.com/rwightman/pytorch-image-models
+ git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 6.4M / month Β· π¦ 1.1K Β· β±οΈ 19.01.2025):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 2.7M / month Β· π¦ 1K Β· β±οΈ 10.01.2025):
```
- pip install timm
+ pip install moviepy
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 320K Β· β±οΈ 20.01.2025):
+- [Conda](https://anaconda.org/conda-forge/moviepy) (π₯ 290K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge timm
+ conda install -c conda-forge moviepy
```
torchvision (π₯41 Β· β 17K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 620 Β· π 7K Β· π₯ 40K Β· π¦ 21 Β· π 3.6K - 30% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 620 Β· π 7K Β· π₯ 40K Β· π¦ 21 Β· π 3.6K - 30% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 15M / month Β· π¦ 6.3K Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 15M / month Β· π¦ 6.5K Β· β±οΈ 29.01.2025):
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 2.3M Β· β±οΈ 20.01.2025):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 2.4M Β· β±οΈ 16.02.2025):
```
conda install -c conda-forge torchvision
```
Albumentations (π₯41 Β· β 15K) - Fast and flexible image augmentation library. Paper about.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 160 Β· π 1.7K Β· π¦ 32K Β· π 1.1K - 13% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 160 Β· π 1.7K Β· π¦ 32K Β· π 1.2K - 13% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 6M / month Β· π¦ 650 Β· β±οΈ 11.02.2025):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 6.2M / month Β· π¦ 650 Β· β±οΈ 11.02.2025):
```
pip install albumentations
```
@@ -2166,37 +2166,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge albumentations
```
deepface (π₯38 Β· β 18K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+deepface (π₯39 Β· β 18K Β· π) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 78 Β· π 2.4K Β· π¦ 5.5K Β· π 1.2K - 0% open Β· β±οΈ 04.02.2025):
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 82 Β· π 2.4K Β· π¦ 5.6K Β· π 1.2K - 0% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/serengil/deepface
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 420K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
+- [PyPi](https://pypi.org/project/deepface) (π₯ 470K / month Β· π¦ 44 Β· β±οΈ 17.08.2024):
```
pip install deepface
```
imageio (π₯38 Β· β 1.5K) - Python library for reading and writing image data. BSD-2
-
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 300 Β· π₯ 1.5K Β· π¦ 160K Β· π 610 - 16% open Β· β±οΈ 20.01.2025):
-
- ```
- git clone https://github.com/imageio/imageio
- ```
-- [PyPi](https://pypi.org/project/imageio) (π₯ 24M / month Β· π¦ 2.6K Β· β±οΈ 20.01.2025):
- ```
- pip install imageio
- ```
-- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.5M Β· β±οΈ 30.01.2025):
- ```
- conda install -c conda-forge imageio
- ```
-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₯ 1.7K Β· π¦ 14K Β· π 960 - 30% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 280 Β· π 980 Β· π₯ 1.7K Β· π¦ 14K Β· π 960 - 30% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/kornia/kornia
@@ -2205,7 +2189,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install kornia
```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 170K Β· β±οΈ 11.01.2025):
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 180K Β· β±οΈ 11.01.2025):
```
conda install -c conda-forge kornia
```
@@ -2222,6 +2206,22 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install opencv-python
```
imageio (π₯37 Β· β 1.6K Β· π) - Python library for reading and writing image data. BSD-2
+
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 120 Β· π 300 Β· π₯ 1.5K Β· π¦ 160K Β· π 610 - 16% open Β· β±οΈ 20.01.2025):
+
+ ```
+ git clone https://github.com/imageio/imageio
+ ```
+- [PyPi](https://pypi.org/project/imageio) (π₯ 24M / month Β· π¦ 2.6K Β· β±οΈ 20.01.2025):
+ ```
+ pip install imageio
+ ```
+- [Conda](https://anaconda.org/conda-forge/imageio) (π₯ 7.5M Β· β±οΈ 30.01.2025):
+ ```
+ conda install -c conda-forge imageio
+ ```
+MMDetection (π₯36 Β· β 30K Β· π€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.5K Β· π¦ 3.5K Β· π 8.6K - 21% open Β· β±οΈ 05.02.2024):
@@ -2229,19 +2229,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/open-mmlab/mmdetection
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 180K / month Β· π¦ 82 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/mmdet) (π₯ 190K / month Β· π¦ 82 Β· β±οΈ 05.01.2024):
```
pip install mmdet
```
InsightFace (π₯36 Β· β 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 63 Β· π 5.4K Β· π₯ 6.5M Β· π¦ 3.4K Β· π 2.5K - 45% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 64 Β· π 5.4K Β· π₯ 6.6M Β· π¦ 3.4K Β· π 2.5K - 45% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 220K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 230K / month Β· π¦ 30 Β· β±οΈ 17.12.2022):
```
pip install insightface
```
@@ -2257,7 +2257,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 600K Β· β±οΈ 06.11.2024):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 610K Β· β±οΈ 06.11.2024):
```
conda install -c conda-forge detectron2
```
@@ -2269,7 +2269,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 1.1M / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
+- [PyPi](https://pypi.org/project/wand) (π₯ 1M / month Β· π¦ 260 Β· β±οΈ 03.11.2023):
```
pip install wand
```
@@ -2278,7 +2278,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge wand
```
PaddleSeg (π₯33 Β· β 8.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2
+PaddleSeg (π₯33 Β· β 8.9K) - 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):
@@ -2301,38 +2301,50 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install ImageHash
```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 420K Β· β±οΈ 03.02.2025):
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 430K Β· β±οΈ 03.02.2025):
```
conda install -c conda-forge imagehash
```
lightly (π₯32 Β· β 3.3K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 64 Β· π 290 Β· π¦ 390 Β· π 600 - 13% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 64 Β· π 290 Β· π¦ 390 Β· π 600 - 13% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 41K / month Β· π¦ 18 Β· β±οΈ 28.01.2025):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 40K / month Β· π¦ 20 Β· β±οΈ 18.02.2025):
```
pip install lightly
```
vit-pytorch (π₯31 Β· β 22K Β· π) - Implementation of Vision Transformer, a simple way to.. MIT
+vit-pytorch (π₯31 Β· β 22K) - 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¦ 600 Β· π 280 - 49% open Β· β±οΈ 19.01.2025):
```
git clone https://github.com/lucidrains/vit-pytorch
```
-- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 26K / month Β· π¦ 17 Β· β±οΈ 19.01.2025):
+- [PyPi](https://pypi.org/project/vit-pytorch) (π₯ 22K / month Β· π¦ 17 Β· β±οΈ 19.01.2025):
```
pip install vit-pytorch
```
PaddleDetection (π₯30 Β· β 13K Β· π) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
+
+- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 180 Β· π 2.9K Β· π 5.5K - 22% open Β· β±οΈ 13.02.2025):
+
+ ```
+ git clone https://github.com/PaddlePaddle/PaddleDetection
+ ```
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+ ```
+ pip install paddledet
+ ```
+imageai (π₯30 Β· β 8.7K Β· π€) - A python library built to empower developers to build applications.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 950K Β· π¦ 1.7K Β· π 760 - 41% open Β· β±οΈ 20.02.2024):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 960K Β· π¦ 1.7K Β· π 760 - 41% open Β· β±οΈ 20.02.2024):
```
git clone https://github.com/OlafenwaMoses/ImageAI
@@ -2341,63 +2353,51 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 8.7K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 8.8K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge imageai
```
CellProfiler (π₯30 Β· β 950) - An open-source application for biological image analysis. BSD-3
+CellProfiler (π₯30 Β· β 960) - An open-source application for biological image analysis. BSD-3
-- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 390 Β· π₯ 8.3K Β· π¦ 27 Β· π 3.3K - 9% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 390 Β· π₯ 8.4K Β· π¦ 27 Β· π 3.3K - 9% open Β· β±οΈ 10.02.2025):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 1.1K / month Β· π¦ 2 Β· β±οΈ 16.09.2024):
```
pip install cellprofiler
```
sahi (π₯29 Β· β 4.3K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+sahi (π₯29 Β· β 4.3K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
-- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 600 Β· π₯ 32K Β· π¦ 1.6K Β· β±οΈ 18.12.2024):
+- [GitHub](https://github.com/obss/sahi) (π¨βπ» 48 Β· π 610 Β· π₯ 32K Β· π¦ 1.6K Β· β±οΈ 18.12.2024):
```
git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 170K / month Β· π¦ 31 Β· β±οΈ 16.12.2024):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 160K / month Β· π¦ 31 Β· β±οΈ 16.12.2024):
```
pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 89K Β· β±οΈ 18.12.2024):
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 90K Β· β±οΈ 18.12.2024):
```
conda install -c conda-forge sahi
```
doctr (π₯29 Β· β 4.3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+doctr (π₯29 Β· β 4.3K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 56 Β· π 470 Β· π₯ 4.9M Β· π 390 - 6% open Β· β±οΈ 03.02.2025):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 64K / month Β· π¦ 14 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 78K / month Β· π¦ 14 Β· β±οΈ 30.01.2025):
```
pip install python-doctr
```
PaddleDetection (π₯28 Β· β 13K Β· π) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2
-
-- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (π¨βπ» 180 Β· π 2.9K Β· π 5.5K - 22% open Β· β±οΈ 03.12.2024):
-
- ```
- git clone https://github.com/PaddlePaddle/PaddleDetection
- ```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 950 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
- ```
- pip install paddledet
- ```
-Face Alignment (π₯28 Β· β 7.2K) - 2D and 3D Face alignment library build using pytorch. BSD-3
- [GitHub](https://github.com/1adrianb/face-alignment) (π¨βπ» 26 Β· π 1.4K Β· π¦ 21 Β· π 320 - 24% open Β· β±οΈ 30.08.2024):
@@ -2405,14 +2405,14 @@ _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₯ 74K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 65K / month Β· π¦ 10 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
mtcnn (π₯28 Β· β 2.3K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT
-- [GitHub](https://github.com/ipazc/mtcnn) (π¨βπ» 16 Β· π 530 Β· π₯ 30 Β· π¦ 7.3K 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₯ 32 Β· π¦ 7.3K Β· π 130 - 37% open Β· β±οΈ 08.10.2024):
```
git clone https://github.com/ipazc/mtcnn
@@ -2438,14 +2438,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install facenet-pytorch
```
vidgear (π₯27 Β· β 3.4K Β· π€) - A High-performance cross-platform Video Processing Python.. Apache-2
+vidgear (π₯27 Β· β 3.5K Β· π€) - A High-performance cross-platform Video Processing Python.. Apache-2
- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 260 Β· π₯ 2.2K Β· π¦ 680 Β· π 300 - 2% open Β· β±οΈ 22.06.2024):
```
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₯ 21K / month Β· π¦ 15 Β· β±οΈ 22.06.2024):
```
pip install vidgear
```
@@ -2457,11 +2457,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 20K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 19K / month Β· π¦ 63 Β· β±οΈ 17.07.2024):
```
pip install mahotas
```
-- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 590K Β· β±οΈ 18.07.2024):
+- [Conda](https://anaconda.org/conda-forge/mahotas) (π₯ 600K Β· β±οΈ 18.07.2024):
```
conda install -c conda-forge mahotas
```
@@ -2473,19 +2473,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tryolabs/norfair
```
-- [PyPi](https://pypi.org/project/norfair) (π₯ 23K / month Β· π¦ 9 Β· β±οΈ 30.05.2022):
+- [PyPi](https://pypi.org/project/norfair) (π₯ 24K / month Β· π¦ 9 Β· β±οΈ 30.05.2022):
```
pip install norfair
```
Image Deduplicator (π₯25 Β· β 5.2K) - Finding duplicate images made easy!. Apache-2
+Image Deduplicator (π₯25 Β· β 5.3K) - Finding duplicate images made easy!. Apache-2
- [GitHub](https://github.com/idealo/imagededup) (π¨βπ» 16 Β· π 460 Β· π¦ 170 Β· π 130 - 31% open Β· β±οΈ 19.12.2024):
```
git clone https://github.com/idealo/imagededup
```
-- [PyPi](https://pypi.org/project/imagededup) (π₯ 17K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
+- [PyPi](https://pypi.org/project/imagededup) (π₯ 13K / month Β· π¦ 5 Β· β±οΈ 28.04.2023):
```
pip install imagededup
```
@@ -2497,7 +2497,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 42K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 44K / month Β· π¦ 24 Β· β±οΈ 20.01.2022):
```
pip install pytorchvideo
```
@@ -2509,7 +2509,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 91K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 90K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
pip install tensorflow-graphics
```
@@ -2521,19 +2521,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 20K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 8.2K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
pyvips (π₯25 Β· β 680) - python binding for libvips using cffi. MIT
-- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 930 Β· π 450 - 42% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/libvips/pyvips) (π¨βπ» 16 Β· π 50 Β· π¦ 950 Β· π 450 - 42% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 69K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 68K / month Β· π¦ 77 Β· β±οΈ 28.04.2024):
```
pip install pyvips
```
@@ -2549,7 +2549,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 730 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
@@ -2561,31 +2561,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/qubvel/segmentation_models
```
-- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 35K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
+- [PyPi](https://pypi.org/project/segmentation_models) (π₯ 33K / month Β· π¦ 28 Β· β±οΈ 10.01.2020):
```
pip install segmentation_models
```
vissl (π₯23 Β· β 3.3K Β· π€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT
-- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 58 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 59 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
```
git clone https://github.com/facebookresearch/vissl
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 180 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/vissl) (π₯ 200 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
```
pip install vissl
```
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¦ 60 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/libffcv/ffcv) (π¨βπ» 31 Β· π 180 Β· π¦ 61 Β· π 290 - 38% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 940 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 860 / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
@@ -2597,7 +2597,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/airctic/icevision
```
-- [PyPi](https://pypi.org/project/icevision) (π₯ 3.2K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/icevision) (π₯ 3.1K / month Β· π¦ 6 Β· β±οΈ 10.02.2022):
```
pip install icevision
```
@@ -2617,7 +2617,7 @@ _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₯ 5.6K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
+- [PyPi](https://pypi.org/project/ISR) (π₯ 6.2K / month Β· π¦ 5 Β· β±οΈ 08.01.2020):
```
pip install ISR
```
@@ -2628,12 +2628,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PySlowFast (π₯20 Β· β 6.8K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2
-- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 34 Β· π 1.2K Β· π¦ 22 Β· π 700 - 58% open Β· β±οΈ 26.11.2024):
+- [GitHub](https://github.com/facebookresearch/SlowFast) (π¨βπ» 34 Β· π 1.2K Β· π¦ 23 Β· π 700 - 58% open Β· β±οΈ 26.11.2024):
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 64 / month Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 56 / month Β· β±οΈ 15.01.2020):
```
pip install pyslowfast
```
@@ -2654,22 +2654,22 @@ _Libraries for image & video processing, manipulation, and augmentation as well
- Face Recognition (π₯35 Β· β 54K Β· π) - The worlds simplest facial recognition api for Python.. MIT βUnlicensed MIT
-- GluonCV (π₯29 Β· β 5.9K Β· π) - Gluon CV Toolkit. Apache-2 MIT
-- layout-parser (π₯27 Β· β 5.1K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
+- GluonCV (π₯28 Β· β 5.9K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
+- Augmentor (π₯26 Β· β 5.1K Β· π) - Image augmentation library in Python for machine learning. MIT
- Pillow-SIMD (π₯25 Β· β 2.2K) - 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
- Luminoth (π₯23 Β· β 2.4K Β· π) - Deep Learning toolkit for Computer Vision. BSD-3 MIT
- Classy Vision (π₯22 Β· β 1.6K Β· π) - An end-to-end PyTorch framework for image and video.. MIT Apache-2
- detecto (π₯21 Β· β 620 Β· π) - Build fully-functioning computer vision models with PyTorch. MIT MIT
+- solt (π₯18 Β· β 260) - Streaming over lightweight data transformations. MIT
- pycls (π₯17 Β· β 2.1K Β· π) - Codebase for Image Classification Research, written in PyTorch. MIT MIT
-- solt (π₯17 Β· β 260) - Streaming over lightweight data transformations. MIT
- Torch Points 3D (π₯17 Β· β 230 Β· π) - Pytorch framework for doing deep learning on point.. BSD-3 MIT huggingface
+- HugsVision (π₯15 Β· β 190 Β· π) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface
@@ -2681,7 +2681,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (π₯45 Β· β 15K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 770 Β· π 3.3K Β· π₯ 79 Β· π¦ 350K Β· π 3.4K - 10% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 760 Β· π 3.3K Β· π₯ 79 Β· π¦ 350K Β· π 3.4K - 10% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/networkx/networkx
@@ -2695,14 +2695,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge networkx
```
PyTorch Geometric (π₯40 Β· β 22K) - Graph Neural Network Library for PyTorch. MIT
+PyTorch Geometric (π₯41 Β· β 22K Β· π) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 540 Β· π 3.8K Β· π¦ 7.8K Β· π 3.8K - 29% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 540 Β· π 3.8K Β· π¦ 7.9K Β· π 3.8K - 29% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 420K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 540K / month Β· π¦ 360 Β· β±οΈ 26.09.2024):
```
pip install torch-geometric
```
@@ -2718,7 +2718,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/dmlc/dgl
```
-- [PyPi](https://pypi.org/project/dgl) (π₯ 100K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dgl) (π₯ 97K / month Β· π¦ 150 Β· β±οΈ 13.05.2024):
```
pip install dgl
```
@@ -2737,12 +2737,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyKEEN (π₯31 Β· β 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
-- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 41 Β· π 190 Β· π₯ 230 Β· π¦ 280 Β· π 580 - 19% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 42 Β· π 190 Β· π₯ 230 Β· π¦ 290 Β· π 580 - 19% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 15K / month Β· π¦ 19 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 13K / month Β· π¦ 19 Β· β±οΈ 29.10.2024):
```
pip install pykeen
```
@@ -2754,7 +2754,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 32K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 33K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
```
pip install ogb
```
@@ -2763,9 +2763,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge ogb
```
pytorch_geometric_temporal (π₯26 Β· β 2.7K Β· π) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
+pytorch_geometric_temporal (π₯26 Β· β 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT
-- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 36 Β· π 370 Β· π 200 - 20% open Β· β±οΈ 09.02.2025):
+- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (π¨βπ» 36 Β· π 380 Β· π 200 - 20% open Β· β±οΈ 09.02.2025):
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
@@ -2782,7 +2782,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 26.02.2024):
```
pip install ampligraph
```
@@ -2794,35 +2794,35 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 300K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 290K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
```
pip install torchbiggraph
```
Node2Vec (π₯23 Β· β 1.3K) - Implementation of the node2vec algorithm. MIT
-- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 800 Β· π 93 - 5% open Β· β±οΈ 02.08.2024):
+- [GitHub](https://github.com/eliorc/node2vec) (π¨βπ» 16 Β· π 250 Β· π¦ 810 Β· π 93 - 5% open Β· β±οΈ 02.08.2024):
```
git clone https://github.com/eliorc/node2vec
```
-- [PyPi](https://pypi.org/project/node2vec) (π₯ 22K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/node2vec) (π₯ 23K / month Β· π¦ 31 Β· β±οΈ 02.08.2024):
```
pip install node2vec
```
-- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 33K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/node2vec) (π₯ 34K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge node2vec
```
torch-cluster (π₯23 Β· β 840) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
+torch-cluster (π₯23 Β· β 850) - PyTorch Extension Library of Optimized Graph Cluster.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_cluster) (π¨βπ» 38 Β· π 150 Β· π 180 - 17% open Β· β±οΈ 10.01.2025):
```
git clone https://github.com/rusty1s/pytorch_cluster
```
-- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 16K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/torch-cluster) (π₯ 17K / month Β· π¦ 62 Β· β±οΈ 12.10.2023):
```
pip install torch-cluster
```
@@ -2870,10 +2870,10 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- 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
- deepsnap (π₯20 Β· β 560 Β· π) - Python library assists deep learning on graphs. MIT
-- GraphGym (π₯19 Β· β 1.7K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+- GraphGym (π₯18 Β· β 1.8K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
+- Sematch (π₯18 Β· β 440 Β· π) - semantic similarity framework for knowledge graph. Apache-2
- DeepGraph (π₯18 Β· β 290 Β· π€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 Apache-2
-- Sematch (π₯17 Β· β 440 Β· π) - semantic similarity framework for knowledge graph. Apache-2
- Euler (π₯16 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2 MIT MIT speechbrain (π₯40 Β· β 9.3K) - A PyTorch-based Speech Toolkit. Apache-2
+speechbrain (π₯40 Β· β 9.4K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.4K Β· π¦ 2.8K Β· π 1.2K - 12% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 260 Β· π 1.4K Β· π¦ 2.9K Β· π 1.2K - 12% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 3.4M / month Β· π¦ 67 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 3.9M / month Β· π¦ 67 Β· β±οΈ 30.10.2024):
```
pip install speechbrain
```
espnet (π₯38 Β· β 8.8K) - 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¦ 410 Β· π 2.5K - 14% open Β· β±οΈ 05.02.2025):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 490 Β· π 2.2K Β· π₯ 84 Β· π¦ 420 Β· π 2.5K - 14% open Β· β±οΈ 05.02.2025):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 21K / month Β· π¦ 12 Β· β±οΈ 04.12.2024):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 20K / month Β· π¦ 12 Β· β±οΈ 04.12.2024):
```
pip install espnet
```
@@ -2920,18 +2920,18 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.3M / month Β· π¦ 650 Β· β±οΈ 25.01.2025):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 1.4M / month Β· π¦ 650 Β· β±οΈ 25.01.2025):
```
pip install SpeechRecognition
```
-- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 220K Β· β±οΈ 25.01.2025):
+- [Conda](https://anaconda.org/conda-forge/speechrecognition) (π₯ 230K Β· β±οΈ 25.01.2025):
```
conda install -c conda-forge speechrecognition
```
Coqui TTS (π₯35 Β· β 38K Β· π€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.5K Β· π₯ 4.4M Β· π¦ 2.3K Β· π 1.2K - 7% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/coqui-ai/TTS) (π¨βπ» 170 Β· π 4.5K Β· π₯ 4.5M Β· π¦ 2.3K Β· π 1.2K - 7% open Β· β±οΈ 10.02.2024):
```
git clone https://github.com/coqui-ai/TTS
@@ -2940,19 +2940,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install tts
```
-- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 22K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tts) (π₯ 23K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge tts
```
torchaudio (π₯35 Β· β 2.6K) - Data manipulation and transformation for audio signal.. BSD-2
-- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 670 Β· π 1K - 27% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/pytorch/audio) (π¨βπ» 230 Β· π 680 Β· π 1K - 27% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 7.1M / month Β· π¦ 1.6K Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 7.7M / month Β· π¦ 1.6K Β· β±οΈ 29.01.2025):
```
pip install torchaudio
```
@@ -2964,7 +2964,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/deezer/spleeter
```
-- [PyPi](https://pypi.org/project/spleeter) (π₯ 25K / month Β· π¦ 12 Β· β±οΈ 10.06.2022):
+- [PyPi](https://pypi.org/project/spleeter) (π₯ 24K / month Β· π¦ 12 Β· β±οΈ 10.06.2022):
```
pip install spleeter
```
@@ -2973,42 +2973,42 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge spleeter
```
Magenta (π₯32 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
+librosa (π₯33 Β· β 7.4K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 550 Β· π 1K - 41% open Β· β±οΈ 17.01.2025):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 970 Β· π 1.2K - 4% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/magenta/magenta
+ git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/magenta) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 2.8M / month Β· π¦ 1.6K Β· β±οΈ 11.02.2025):
```
- pip install magenta
+ pip install librosa
+ ```
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 860K Β· β±οΈ 19.12.2024):
+ ```
+ conda install -c conda-forge librosa
```
librosa (π₯32 Β· β 7.4K) - Python library for audio and music analysis. ISC
+Magenta (π₯32 Β· β 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 970 Β· π 1.2K - 4% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/magenta/magenta) (π¨βπ» 160 Β· π 3.7K Β· π¦ 560 Β· π 1K - 41% open Β· β±οΈ 17.01.2025):
```
- git clone https://github.com/librosa/librosa
- ```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.9M / month Β· π¦ 1.6K Β· β±οΈ 11.02.2025):
- ```
- pip install librosa
+ git clone https://github.com/magenta/magenta
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 860K Β· β±οΈ 19.12.2024):
+- [PyPi](https://pypi.org/project/magenta) (π₯ 11K / month Β· π¦ 5 Β· β±οΈ 01.08.2022):
```
- conda install -c conda-forge librosa
+ pip install magenta
```
python-soundfile (π₯32 Β· β 730) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
+python-soundfile (π₯32 Β· β 740) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
-- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 37 Β· π 110 Β· π₯ 21K Β· π¦ 52K Β· π 260 - 46% open Β· β±οΈ 25.01.2025):
+- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 37 Β· π 110 Β· π₯ 21K Β· π¦ 53K Β· π 260 - 46% open Β· β±οΈ 25.01.2025):
```
git clone https://github.com/bastibe/python-soundfile
```
-- [PyPi](https://pypi.org/project/soundfile) (π₯ 4.8M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
+- [PyPi](https://pypi.org/project/soundfile) (π₯ 4.9M / month Β· π¦ 1.1K Β· β±οΈ 25.01.2025):
```
pip install soundfile
```
@@ -3017,9 +3017,9 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c anaconda pysoundfile
```
Porcupine (π₯31 Β· β 3.9K) - On-device wake word detection powered by deep learning. Apache-2
+Porcupine (π₯30 Β· β 3.9K) - On-device wake word detection powered by deep learning. Apache-2
-- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 510 Β· π¦ 40 Β· π 560 - 0% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/Picovoice/porcupine) (π¨βπ» 42 Β· π 510 Β· π¦ 40 Β· π 570 - 0% open Β· β±οΈ 15.02.2025):
```
git clone https://github.com/Picovoice/Porcupine
@@ -3029,26 +3029,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
pip install pvporcupine
```
audiomentations (π₯29 Β· β 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT
+audiomentations (π₯29 Β· β 2K) - A Python library for audio data augmentation. Inspired by.. MIT
-- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 30 Β· π 190 Β· π¦ 670 Β· π 190 - 25% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/iver56/audiomentations) (π¨βπ» 31 Β· π 190 Β· π¦ 680 Β· π 190 - 25% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/iver56/audiomentations
```
-- [PyPi](https://pypi.org/project/audiomentations) (π₯ 56K / month Β· π¦ 25 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/audiomentations) (π₯ 55K / month Β· π¦ 25 Β· β±οΈ 12.02.2025):
```
pip install audiomentations
```
Madmom (π₯27 Β· β 1.4K) - Python audio and music signal processing library. BSD-3
-- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 200 Β· π¦ 460 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
+- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 24 Β· π 210 Β· π¦ 470 Β· π 280 - 24% open Β· β±οΈ 25.08.2024):
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 2.5K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 2.9K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
@@ -3060,7 +3060,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/devsnd/tinytag
```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 50K / month Β· π¦ 110 Β· β±οΈ 03.11.2024):
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 49K / month Β· π¦ 110 Β· β±οΈ 03.11.2024):
```
pip install tinytag
```
@@ -3072,7 +3072,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 3.8K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 3.5K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
@@ -3081,19 +3081,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
conda install -c conda-forge ddsp
```
Julius (π₯23 Β· β 440 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT
+
+- [GitHub](https://github.com/adefossez/julius) (π¨βπ» 3 Β· π 25 Β· π¦ 2.4K Β· π 11 - 18% open Β· β±οΈ 17.02.2025):
+
+ ```
+ git clone https://github.com/adefossez/julius
+ ```
+- [PyPi](https://pypi.org/project/julius) (π₯ 300K / month Β· π¦ 44 Β· β±οΈ 20.09.2022):
+ ```
+ pip install julius
+ ```
+nnAudio (π₯22 Β· β 1.1K Β· π€) - Audio processing by using pytorch 1D convolution network. MIT
-- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 91 Β· π¦ 280 Β· π 63 - 28% open Β· β±οΈ 13.02.2024):
+- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (π¨βπ» 15 Β· π 91 Β· π¦ 300 Β· π 63 - 28% open Β· β±οΈ 13.02.2024):
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 43K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 36K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
```
pip install nnAudio
```
Show 14 hidden projects...
+Show 13 hidden projects...
- Pydub (π₯36 Β· β 9.2K Β· π) - Manipulate audio with a simple and easy high level interface. MIT
- DeepSpeech (π₯33 Β· β 26K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MIT
- Dejavu (π₯23 Β· β 6.5K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯22 Β· β 920 Β· π) - kapre: Keras Audio Preprocessors. MIT MIT βοΈAGPL-3.0
- Muda (π₯18 Β· β 230 Β· π) - A library for augmenting annotated audio data. ISC
- textlesslib (π₯10 Β· β 530 Β· π) - Library for Textless Spoken Language Processing. MIT pydeck (π₯43 Β· β 12K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 280 Β· π 2.1K Β· π¦ 8.7K Β· π 3.1K - 11% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 280 Β· π 2.1K Β· π¦ 8.7K Β· π 3.1K - 11% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 6.2M / month Β· π¦ 120 Β· β±οΈ 10.05.2024):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 6.4M / month Β· π¦ 120 Β· β±οΈ 10.05.2024):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 690K Β· β±οΈ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 700K Β· β±οΈ 31.01.2025):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 550K / month Β· π¦ 320 Β· β±οΈ 11.02.2025):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 540K / month Β· π¦ 320 Β· β±οΈ 17.02.2025):
```
npm install deck.gl
```
Shapely (π₯40 Β· β 4K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 160 Β· π 570 Β· π₯ 3.8K Β· π¦ 94K Β· π 1.3K - 23% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 170 Β· π 570 Β· π₯ 3.8K Β· π¦ 95K Β· π 1.3K - 22% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 38M / month Β· π¦ 3.6K Β· β±οΈ 31.01.2025):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 40M / month Β· π¦ 3.6K Β· β±οΈ 31.01.2025):
```
pip install shapely
```
@@ -3156,7 +3167,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (π₯39 Β· β 7K) - Python Data. Leaflet.js Maps. MIT
-- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 51K Β· π 1.1K - 7% open Β· β±οΈ 03.02.2025):
+- [GitHub](https://github.com/python-visualization/folium) (π¨βπ» 170 Β· π 2.2K Β· π¦ 52K Β· π 1.1K - 7% open Β· β±οΈ 03.02.2025):
```
git clone https://github.com/python-visualization/folium
@@ -3165,19 +3176,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install folium
```
-- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 3.4M Β· β±οΈ 07.01.2025):
+- [Conda](https://anaconda.org/conda-forge/folium) (π₯ 3.5M Β· β±οΈ 07.01.2025):
```
conda install -c conda-forge folium
```
GeoPandas (π₯38 Β· β 4.6K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 940 Β· π₯ 2.9K Β· π¦ 48K Β· π 1.7K - 25% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 240 Β· π 940 Β· π₯ 2.9K Β· π¦ 49K Β· π 1.7K - 25% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.5M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.4M / month Β· π¦ 2.8K Β· β±οΈ 02.07.2024):
```
pip install geopandas
```
@@ -3186,7 +3197,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge geopandas
```
Rasterio (π₯36 Β· β 2.3K Β· π) - Rasterio reads and writes geospatial raster datasets. BSD-3
+Rasterio (π₯36 Β· β 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3
- [GitHub](https://github.com/rasterio/rasterio) (π¨βπ» 160 Β· π 540 Β· π₯ 1K Β· π¦ 15K Β· π 1.9K - 7% open Β· β±οΈ 17.01.2025):
@@ -3202,30 +3213,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge rasterio
```
Fiona (π₯36 Β· β 1.2K) - Fiona reads and writes geographic data files. BSD-3
+pyproj (π₯36 Β· β 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
-- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 77 Β· π 210 Β· π¦ 24K Β· π 810 - 4% open Β· β±οΈ 07.01.2025):
+- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 69 Β· π 220 Β· π¦ 39K Β· π 630 - 5% open Β· β±οΈ 17.02.2025):
```
- git clone https://github.com/Toblerity/Fiona
+ git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 4.4M / month Β· π¦ 300 Β· β±οΈ 16.09.2024):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.8M / month Β· π¦ 1.9K Β· β±οΈ 16.02.2025):
```
- pip install fiona
+ pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 6.5M Β· β±οΈ 06.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 9.7M Β· β±οΈ 16.02.2025):
```
- conda install -c conda-forge fiona
+ conda install -c conda-forge pyproj
```
ArcGIS API (π₯35 Β· β 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2
-- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 96 Β· π 1.1K Β· π₯ 14K Β· π¦ 900 Β· π 810 - 7% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/Esri/arcgis-python-api) (π¨βπ» 96 Β· π 1.1K Β· π₯ 14K Β· π¦ 900 Β· π 820 - 7% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 83K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 81K / month Β· π¦ 40 Β· β±οΈ 01.10.2024):
```
pip install arcgis
```
@@ -3234,25 +3245,25 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
docker pull esridocker/arcgis-api-python-notebook
```
pyproj (π₯35 Β· β 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT
+Fiona (π₯35 Β· β 1.2K Β· π) - Fiona reads and writes geographic data files. BSD-3
-- [GitHub](https://github.com/pyproj4/pyproj) (π¨βπ» 69 Β· π 220 Β· π¦ 39K Β· π 630 - 5% open Β· β±οΈ 04.12.2024):
+- [GitHub](https://github.com/Toblerity/Fiona) (π¨βπ» 77 Β· π 210 Β· π¦ 25K Β· π 810 - 4% open Β· β±οΈ 07.01.2025):
```
- git clone https://github.com/pyproj4/pyproj
+ git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.9M / month Β· π¦ 1.7K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 4.3M / month Β· π¦ 380 Β· β±οΈ 16.09.2024):
```
- pip install pyproj
+ pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 9.7M Β· β±οΈ 01.10.2024):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 6.6M Β· β±οΈ 06.12.2024):
```
- conda install -c conda-forge pyproj
+ conda install -c conda-forge fiona
```
ipyleaflet (π₯31 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 91 Β· π 360 Β· π¦ 14K 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¦ 14K Β· π 660 - 45% open Β· β±οΈ 05.12.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
@@ -3265,7 +3276,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
conda install -c conda-forge ipyleaflet
```
-- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 5.4K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
+- [npm](https://www.npmjs.com/package/jupyter-leaflet) (π₯ 5.7K / month Β· π¦ 9 Β· β±οΈ 22.07.2024):
```
npm install jupyter-leaflet
```
@@ -3277,7 +3288,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 31K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 32K / month Β· π¦ 59 Β· β±οΈ 06.02.2025):
```
pip install pysal
```
@@ -3293,11 +3304,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 2.7M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 2.6M / month Β· π¦ 720 Β· β±οΈ 21.12.2024):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 910K Β· β±οΈ 22.12.2024):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 920K Β· β±οΈ 22.12.2024):
```
conda install -c conda-forge geojson
```
@@ -3309,7 +3320,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/holoviz/geoviews
```
-- [PyPi](https://pypi.org/project/geoviews) (π₯ 17K / month Β· π¦ 63 Β· β±οΈ 17.12.2024):
+- [PyPi](https://pypi.org/project/geoviews) (π₯ 16K / month Β· π¦ 63 Β· β±οΈ 17.12.2024):
```
pip install geoviews
```
@@ -3320,12 +3331,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pymap3d (π₯25 Β· β 400) - 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¦ 470 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¦ 480 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₯ 270K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
+- [PyPi](https://pypi.org/project/pymap3d) (π₯ 280K / month Β· π¦ 44 Β· β±οΈ 11.02.2024):
```
pip install pymap3d
```
@@ -3341,7 +3352,7 @@ _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₯ 13K / month Β· π¦ 12 Β· β±οΈ 02.06.2019):
+- [PyPi](https://pypi.org/project/mapboxgl) (π₯ 10K / month Β· π¦ 12 Β· β±οΈ 02.06.2019):
```
pip install mapboxgl
```
@@ -3350,10 +3361,10 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
- geopy (π₯33 Β· β 4.6K Β· π) - Geocoding library for Python. MIT
- Geocoder (π₯33 Β· β 1.6K Β· π) - Python Geocoder. MIT
-- Satpy (π₯31 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
+- Satpy (π₯32 Β· β 1.1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
- Sentinelsat (π₯27 Β· β 990 Β· π€) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
- EarthPy (π₯26 Β· β 520 Β· π) - A package built to support working with spatial data using open.. BSD-3
-- prettymaps (π₯25 Β· β 12K) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
+- prettymaps (π₯24 Β· β 12K) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
- gmaps (π₯22 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT
yfinance (π₯42 Β· β 16K) - Download market data from Yahoo! Finances API. Apache-2
-- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.5K Β· π¦ 61K Β· π 1.5K - 13% open Β· β±οΈ 18.01.2025):
+- [GitHub](https://github.com/ranaroussi/yfinance) (π¨βπ» 130 Β· π 2.5K Β· π¦ 62K Β· π 1.5K - 9% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/ranaroussi/yfinance
```
-- [PyPi](https://pypi.org/project/yfinance) (π₯ 4.5M / month Β· π¦ 800 Β· β±οΈ 18.01.2025):
+- [PyPi](https://pypi.org/project/yfinance) (π₯ 4.5M / month Β· π¦ 850 Β· β±οΈ 18.02.2025):
```
pip install yfinance
```
@@ -3381,35 +3392,35 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c ranaroussi yfinance
```
Qlib (π₯31 Β· β 16K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
+Qlib (π₯31 Β· β 17K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 140 Β· π 2.7K Β· π₯ 780 Β· π¦ 21 Β· π 950 - 26% open Β· β±οΈ 09.01.2025):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 6.7K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 5.4K / month Β· π¦ 1 Β· β±οΈ 23.12.2024):
```
pip install pyqlib
```
bt (π₯30 Β· β 2.4K) - bt - flexible backtesting for Python. MIT
+bt (π₯31 Β· β 2.4K) - bt - flexible backtesting for Python. MIT
- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 34 Β· π 440 Β· π¦ 1.6K Β· π 350 - 23% open Β· β±οΈ 12.02.2025):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 6.4K / month Β· π¦ 13 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/bt) (π₯ 7.1K / month Β· π¦ 13 Β· β±οΈ 12.02.2025):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 71K Β· β±οΈ 21.09.2024):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 73K Β· β±οΈ 21.09.2024):
```
conda install -c conda-forge bt
```
ffn (π₯29 Β· β 2.1K) - ffn - a financial function library for Python. MIT
+ffn (π₯29 Β· β 2.2K) - ffn - a financial function library for Python. MIT
- [GitHub](https://github.com/pmorissette/ffn) (π¨βπ» 36 Β· π 310 Β· π¦ 520 Β· π 130 - 16% open Β· β±οΈ 12.02.2025):
@@ -3432,11 +3443,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 44K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 43K / month Β· π¦ 44 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
-- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 53K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ib-insync) (π₯ 54K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ib-insync
```
@@ -3453,14 +3464,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
pip install stockstats
```
TensorTrade (π₯26 Β· β 4.6K Β· π€) - An open source reinforcement learning framework for.. Apache-2
+TensorTrade (π₯26 Β· β 4.7K 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¦ 67 Β· π 260 - 20% open Β· β±οΈ 09.06.2024):
```
git clone https://github.com/tensortrade-org/tensortrade
```
-- [PyPi](https://pypi.org/project/tensortrade) (π₯ 2.3K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 2.1K / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
```
pip install tensortrade
```
@@ -3471,28 +3482,28 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Alpha Vantage (π₯26 Β· β 4.4K Β· π€) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 740 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 44 Β· π 750 Β· π 290 - 0% open Β· β±οΈ 18.07.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 51K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 52K / month Β· π¦ 35 Β· β±οΈ 18.07.2024):
```
pip install alpha_vantage
```
-- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 8.4K Β· β±οΈ 09.08.2024):
+- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (π₯ 8.5K Β· β±οΈ 09.08.2024):
```
conda install -c conda-forge alpha_vantage
```
tf-quant-finance (π₯22 Β· β 4.7K) - High-performance TensorFlow library for quantitative.. Apache-2
+tf-quant-finance (π₯21 Β· β 4.7K) - High-performance TensorFlow library for quantitative.. Apache-2
- [GitHub](https://github.com/google/tf-quant-finance) (π¨βπ» 48 Β· π 580 Β· π 63 - 55% open Β· β±οΈ 10.02.2025):
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 1.1K / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 850 / month Β· π¦ 3 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
@@ -3504,7 +3515,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 490 / month Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 350 / month Β· β±οΈ 19.05.2024):
```
pip install finmarketpy
```
@@ -3512,11 +3523,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 15 hidden projects...
- zipline (π₯32 Β· β 18K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
-- arch (π₯32 Β· β 1.4K) - ARCH models in Python. βUnlicensed
-- pyfolio (π₯31 Β· β 5.8K Β· π) - Portfolio and risk analytics in Python. Apache-2
-- ta (π₯31 Β· β 4.5K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
+- pyfolio (π₯31 Β· β 5.8K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- ta (π₯31 Β· β 4.5K Β· π) - Technical Analysis Library using Pandas and Numpy. MIT
+- arch (π₯31 Β· β 1.4K) - ARCH models in Python. βUnlicensed
- backtrader (π₯29 Β· β 16K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
-- Backtesting.py (π₯27 Β· β 5.9K) - Backtest trading strategies in Python. βοΈAGPL-3.0
+- Backtesting.py (π₯27 Β· β 6K) - Backtest trading strategies in Python. βοΈAGPL-3.0
- Alphalens (π₯27 Β· β 3.5K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
- empyrical (π₯27 Β· β 1.3K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
- Enigma Catalyst (π₯26 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
@@ -3525,7 +3536,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- Crypto Signals (π₯22 Β· β 5.1K 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
- 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
+- pyrtfolio (π₯9 Β· β 150 Β· π) - Python package to generate stock portfolios. βοΈGPL-3.0
@@ -3537,32 +3548,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (π₯40 Β· β 8.2K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 440 Β· π 1.4K Β· π₯ 110 Β· π¦ 3.9K Β· π 2.7K - 38% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 440 Β· π 1.5K Β· π₯ 110 Β· π¦ 3.9K Β· π 2.7K - 38% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 860K / month Β· π¦ 130 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 830K / month Β· π¦ 130 Β· β±οΈ 05.02.2025):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 1.1M Β· β±οΈ 04.01.2025):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 1.1M Β· β±οΈ 18.02.2025):
```
conda install -c conda-forge sktime-all-extras
```
StatsForecast (π₯34 Β· β 4.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 49 Β· π 300 Β· π¦ 1.4K Β· π 360 - 28% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 50 Β· π 300 Β· π¦ 1.5K Β· π 360 - 29% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 990K / month Β· π¦ 59 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 940K / month Β· π¦ 68 Β· β±οΈ 18.02.2025):
```
pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 150K Β· β±οΈ 06.02.2025):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 160K Β· β±οΈ 18.02.2025):
```
conda install -c conda-forge statsforecast
```
@@ -3574,47 +3585,63 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 180K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 170K / month Β· π¦ 91 Β· β±οΈ 05.09.2020):
+ ```
+ pip install fbprophet
+ ```
+- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.4M Β· β±οΈ 04.10.2024):
+ ```
+ conda install -c conda-forge prophet
+ ```
+tsfresh (π₯32 Β· β 8.6K) - Automatic extraction of relevant features from time series:. 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):
+
+ ```
+ git clone https://github.com/blue-yonder/tsfresh
+ ```
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 100 Β· β±οΈ 16.02.2025):
```
- pip install fbprophet
+ pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/prophet) (π₯ 1.4M Β· β±οΈ 04.10.2024):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 16.02.2025):
```
- conda install -c conda-forge prophet
+ conda install -c conda-forge tsfresh
```
Darts (π₯32 Β· β 8.3K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 900 Β· π 1.6K - 15% open Β· β±οΈ 08.02.2025):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 130 Β· π 910 Β· π 1.6K - 15% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 88K / month Β· π¦ 10 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 85K / month Β· π¦ 10 Β· β±οΈ 14.02.2025):
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 70K Β· β±οΈ 21.12.2024):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 71K Β· β±οΈ 21.12.2024):
```
conda install -c conda-forge u8darts-all
```
-- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.2K Β· β±οΈ 21.12.2024):
+- [Docker Hub](https://hub.docker.com/r/unit8/darts) (π₯ 1.2K Β· β±οΈ 14.02.2025):
```
docker pull unit8/darts
```
pytorch-forecasting (π₯32 Β· β 4.1K) - Time series forecasting with PyTorch. MIT
-- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 63 Β· π 650 Β· π¦ 500 Β· π 820 - 60% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/sktime/pytorch-forecasting) (π¨βπ» 64 Β· π 650 Β· π¦ 500 Β· π 820 - 60% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 82K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 87K / month Β· π¦ 22 Β· β±οΈ 06.02.2025):
```
pip install pytorch-forecasting
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 72K Β· β±οΈ 12.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (π₯ 73K Β· β±οΈ 12.01.2025):
```
conda install -c conda-forge pytorch-forecasting
```
@@ -3626,7 +3653,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/TDAmeritrade/stumpy
```
-- [PyPi](https://pypi.org/project/stumpy) (π₯ 300K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
+- [PyPi](https://pypi.org/project/stumpy) (π₯ 290K / month Β· π¦ 30 Β· β±οΈ 09.07.2024):
```
pip install stumpy
```
@@ -3637,36 +3664,20 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (π₯32 Β· β 3.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 49 Β· π 380 Β· π¦ 300 Β· π 590 - 20% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 49 Β· π 380 Β· π¦ 300 Β· π 600 - 19% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/Nixtla/neuralforecast
```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 82K / month Β· π¦ 25 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 76K / month Β· π¦ 25 Β· β±οΈ 22.01.2025):
```
pip install neuralforecast
```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 31K Β· β±οΈ 23.01.2025):
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 32K Β· β±οΈ 23.01.2025):
```
conda install -c conda-forge neuralforecast
```
tsfresh (π₯31 Β· β 8.6K) - Automatic extraction of relevant features from time series:. MIT
-
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 98 Β· π 1.2K Β· π¦ 21 Β· π 540 - 12% open Β· β±οΈ 25.01.2025):
-
- ```
- git clone https://github.com/blue-yonder/tsfresh
- ```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 250K / month Β· π¦ 93 Β· β±οΈ 03.08.2024):
- ```
- pip install tsfresh
- ```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 11.01.2025):
- ```
- conda install -c conda-forge tsfresh
- ```
-pmdarima (π₯31 Β· β 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT
- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 240 Β· π¦ 11K Β· π 340 - 19% open Β· β±οΈ 07.11.2024):
@@ -3674,7 +3685,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.7M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.8M / month Β· π¦ 150 Β· β±οΈ 23.10.2023):
```
pip install pmdarima
```
@@ -3690,11 +3701,11 @@ _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₯ 650K / month Β· π¦ 33 Β· β±οΈ 11.11.2024):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 610K / month Β· π¦ 33 Β· β±οΈ 11.11.2024):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1.4K Β· β±οΈ 16.12.2024):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 1.5K Β· β±οΈ 16.12.2024):
```
conda install -c anaconda gluonts
```
@@ -3715,9 +3726,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tslearn
```
skforecast (π₯30 Β· β 1.2K) - Time series forecasting with machine learning models. BSD-3
+skforecast (π₯29 Β· β 1.3K) - Time series forecasting with machine learning models. BSD-3
-- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 17 Β· π 150 Β· π¦ 400 Β· π 190 - 13% open Β· β±οΈ 28.11.2024):
+- [GitHub](https://github.com/skforecast/skforecast) (π¨βπ» 17 Β· π 150 Β· π¦ 410 Β· π 190 - 13% open Β· β±οΈ 28.11.2024):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
@@ -3727,37 +3738,37 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pip install skforecast
```
NeuralProphet (π₯27 Β· β 4K) - NeuralProphet: A simple forecasting package. MIT
+Streamz (π₯28 Β· β 1.3K) - Real-time stream processing for python. BSD-3
-- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 480 Β· π 560 - 10% open Β· β±οΈ 13.09.2024):
+- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 49 Β· π 150 Β· π¦ 520 Β· π 270 - 44% open Β· β±οΈ 22.11.2024):
```
- git clone https://github.com/ourownstory/neural_prophet
+ git clone https://github.com/python-streamz/streamz
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 64K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
+- [PyPi](https://pypi.org/project/streamz) (π₯ 18K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
```
- pip install neuralprophet
+ pip install streamz
+ ```
+- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 1.7M Β· β±οΈ 20.12.2024):
+ ```
+ conda install -c conda-forge streamz
```
Streamz (π₯27 Β· β 1.3K) - Real-time stream processing for python. BSD-3
+NeuralProphet (π₯27 Β· β 4K) - NeuralProphet: A simple forecasting package. MIT
-- [GitHub](https://github.com/python-streamz/streamz) (π¨βπ» 49 Β· π 150 Β· π¦ 520 Β· π 270 - 44% open Β· β±οΈ 22.11.2024):
+- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 56 Β· π 490 Β· π 560 - 10% open Β· β±οΈ 13.09.2024):
```
- git clone https://github.com/python-streamz/streamz
- ```
-- [PyPi](https://pypi.org/project/streamz) (π₯ 19K / month Β· π¦ 57 Β· β±οΈ 27.07.2022):
- ```
- pip install streamz
+ git clone https://github.com/ourownstory/neural_prophet
```
-- [Conda](https://anaconda.org/conda-forge/streamz) (π₯ 1.6M Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 65K / month Β· π¦ 8 Β· β±οΈ 26.06.2024):
```
- conda install -c conda-forge streamz
+ pip install neuralprophet
```
TSFEL (π₯22 Β· β 970) - An intuitive library to extract features from time series. BSD-3
+TSFEL (π₯23 Β· β 980) - An intuitive library to extract features from time series. BSD-3
-- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 170 Β· π 82 - 12% open Β· β±οΈ 17.10.2024):
+- [GitHub](https://github.com/fraunhoferportugal/tsfel) (π¨βπ» 20 Β· π 140 Β· π¦ 180 Β· π 82 - 12% open Β· β±οΈ 17.10.2024):
```
git clone https://github.com/fraunhoferportugal/tsfel
@@ -3767,6 +3778,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pip install tsfel
```
greykite (π₯20 Β· β 1.8K) - A flexible, intuitive and fast forecasting library. BSD-2
+
+- [GitHub](https://github.com/linkedin/greykite) (π¨βπ» 10 Β· π 110 Β· π₯ 36 Β· π¦ 39 Β· π 110 - 27% open Β· β±οΈ 20.02.2025):
+
+ ```
+ git clone https://github.com/linkedin/greykite
+ ```
+- [PyPi](https://pypi.org/project/greykite) (π₯ 6.6K / month Β· β±οΈ 12.01.2024):
+ ```
+ pip install greykite
+ ```
+tsflex (π₯20 Β· β 410) - Flexible time series feature extraction & processing. MIT
- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 26 Β· π¦ 19 Β· π 56 - 58% open Β· β±οΈ 06.09.2024):
@@ -3774,7 +3797,7 @@ _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₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 890 / month Β· π¦ 2 Β· β±οΈ 06.09.2024):
```
pip install tsflex
```
@@ -3795,27 +3818,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
pip install pydlm
```
Auto TS (π₯18 Β· β 740 Β· π€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2
+Auto TS (π₯17 Β· β 740 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):
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 9K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 6.8K / month Β· β±οΈ 05.05.2024):
```
pip install auto-ts
```
Show 11 hidden projects...
+Show 10 hidden projects...
- pyts (π₯27 Β· β 1.8K Β· π) - A Python package for time series classification. BSD-3
- PyFlux (π₯25 Β· β 2.1K Β· π) - Open source time series library for Python. BSD-3
- luminol (π₯22 Β· β 1.2K Β· π) - Anomaly Detection and Correlation library. Apache-2
- ADTK (π₯22 Β· β 1.1K Β· π) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0
- seglearn (π₯21 Β· β 570 Β· π) - Python module for machine learning time series:. BSD-3
-- tick (π₯21 Β· β 500 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
-- greykite (π₯20 Β· β 1.8K Β· π) - A flexible, intuitive and fast forecasting library. BSD-2
+- tick (π₯20 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₯15 Β· β 510 Β· π) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT
- tsaug (π₯14 Β· β 350 Β· π) - A Python package for time series augmentation. Apache-2
@@ -3831,7 +3853,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯39 Β· β 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π¦ 5.1K Β· π 5K - 11% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 390 Β· π 1.3K Β· π¦ 5.1K Β· π 5K - 11% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/mne-tools/mne-python
@@ -3840,19 +3862,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 490K Β· β±οΈ 07.01.2025):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 500K Β· β±οΈ 07.01.2025):
```
conda install -c conda-forge mne
```
Nilearn (π₯39 Β· β 1.2K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 290 Β· π¦ 3.8K Β· π 2.3K - 13% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 250 Β· π 600 Β· π₯ 290 Β· π¦ 3.8K Β· π 2.3K - 13% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 76K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 72K / month Β· π¦ 310 Β· β±οΈ 23.12.2024):
```
pip install nilearn
```
@@ -3863,7 +3885,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (π₯36 Β· β 6.1K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.1K Β· π¦ 3.5K Β· π 3.2K - 12% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 220 Β· π 1.1K Β· π¦ 3.5K Β· π 3.2K - 12% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/Project-MONAI/MONAI
@@ -3877,46 +3899,46 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge monai
```
NIPYPE (π₯36 Β· β 760) - Workflows and interfaces for neuroimaging packages. Apache-2
+NiBabel (π₯36 Β· β 680) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 5.8K Β· π 1.4K - 30% open Β· β±οΈ 18.01.2025):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 110 Β· π 260 Β· π¦ 25K Β· π 540 - 23% open Β· β±οΈ 16.02.2025):
```
- git clone https://github.com/nipy/nipype
+ git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 270K / month Β· π¦ 150 Β· β±οΈ 17.12.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 620K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
```
- pip install nipype
+ pip install nibabel
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 760K Β· β±οΈ 18.12.2024):
+- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 860K Β· β±οΈ 12.12.2024):
```
- conda install -c conda-forge nipype
+ conda install -c conda-forge nibabel
```
NiBabel (π₯36 Β· β 680) - Python package to access a cacophony of neuro-imaging file formats. MIT
+NIPYPE (π₯35 Β· β 760 Β· π) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 110 Β· π 260 Β· π¦ 25K Β· π 540 - 23% open Β· β±οΈ 16.01.2025):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 530 Β· π¦ 5.8K Β· π 1.4K - 30% open Β· β±οΈ 18.01.2025):
```
- git clone https://github.com/nipy/nibabel
+ git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 610K / month Β· π¦ 1.2K Β· β±οΈ 23.10.2024):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 280K / month Β· π¦ 150 Β· β±οΈ 17.12.2024):
```
- pip install nibabel
+ pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nibabel) (π₯ 850K Β· β±οΈ 12.12.2024):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 760K Β· β±οΈ 18.12.2024):
```
- conda install -c conda-forge nibabel
+ conda install -c conda-forge nipype
```
Hail (π₯34 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 11.02.2025):
+- [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 19.02.2025):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 160K / month Β· π¦ 34 Β· β±οΈ 04.10.2024):
+- [PyPi](https://pypi.org/project/hail) (π₯ 110K / month Β· π¦ 34 Β· β±οΈ 04.10.2024):
```
pip install hail
```
@@ -3928,7 +3950,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/CamDavidsonPilon/lifelines
```
-- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.7M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/lifelines) (π₯ 2.6M / month Β· π¦ 160 Β· β±οΈ 29.10.2024):
```
pip install lifelines
```
@@ -3937,7 +3959,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge lifelines
```
DeepVariant (π₯27 Β· β 3.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3
+DeepVariant (π₯26 Β· β 3.3K) - 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 870 - 0% open Β· β±οΈ 09.12.2024):
@@ -3956,7 +3978,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 2.6K / month Β· β±οΈ 07.01.2025):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 2.3K / month Β· β±οΈ 07.01.2025):
```
pip install brainiak
```
@@ -3969,13 +3991,13 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
- DIPY (π₯32 Β· β 730) - DIPY is the paragon 3D/4D+ medical imaging library in Python... βUnlicensed
- NiftyNet (π₯25 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2 βUnlicensed
+- NIPY (π₯25 Β· β 390) - Neuroimaging in Python FMRI analysis package. βUnlicensed
- MedPy (π₯23 Β· β 580 Β· π€) - Medical image processing in Python. βοΈGPL-3.0
- Glow (π₯21 Β· β 270) - An open-source toolkit for large-scale genomic analysis. Apache-2
- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 Apache-2 Apache-2 MIT
+- DeepNeuro (π₯14 Β· β 130 Β· π) - A deep learning python package for neuroimaging data. Made by:. MIT
- MedicalNet (π₯12 Β· β 2K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
@@ -3986,14 +4008,14 @@ _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 1.4K) - A standard framework for modelling Deep Learning Models.. MIT
+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» 25 Β· π 150 Β· π₯ 54 Β· π 160 - 6% open Β· β±οΈ 18.12.2024):
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 4.9K / month Β· π¦ 9 Β· β±οΈ 28.11.2024):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 6.9K / month Β· π¦ 9 Β· β±οΈ 28.11.2024):
```
pip install pytorch_tabular
```
@@ -4005,35 +4027,35 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 64K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 62K / month Β· π¦ 9 Β· β±οΈ 02.08.2024):
```
pip install miceforest
```
-- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 17K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/miceforest) (π₯ 18K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge miceforest
```
upgini (π₯21 Β· β 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+upgini (π₯21 Β· β 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 12.02.2025):
+- [GitHub](https://github.com/upgini/upgini) (π¨βπ» 13 Β· π 25 Β· π¦ 9 Β· β±οΈ 20.02.2025):
```
git clone https://github.com/upgini/upgini
```
-- [PyPi](https://pypi.org/project/upgini) (π₯ 25K / month Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/upgini) (π₯ 11K / month Β· β±οΈ 20.02.2025):
```
pip install upgini
```
carefree-learn (π₯18 Β· β 410 Β· π€) - Deep Learning PyTorch. MIT
+carefree-learn (π₯17 Β· β 410 Β· π€) - Deep Learning PyTorch. MIT
- [GitHub](https://github.com/carefree0910/carefree-learn) (π¨βπ» 1 Β· π 38 Β· π¦ 8 Β· π 82 - 2% open Β· β±οΈ 18.03.2024):
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 1.3K / month Β· β±οΈ 09.01.2024):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 700 / month Β· β±οΈ 09.01.2024):
```
pip install carefree-learn
```
@@ -4050,30 +4072,30 @@ _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 46K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯41 Β· β 47K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 270 Β· π 7.9K Β· π₯ 1.2M Β· π¦ 4.3K Β· π 9.6K - 1% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 270 Β· π 7.9K Β· π₯ 1.3M Β· π¦ 4.4K Β· π 9.6K - 1% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
```
-- [PyPi](https://pypi.org/project/paddleocr) (π₯ 300K / month Β· π¦ 110 Β· β±οΈ 22.10.2024):
+- [PyPi](https://pypi.org/project/paddleocr) (π₯ 330K / month Β· π¦ 110 Β· β±οΈ 22.10.2024):
```
pip install paddleocr
```
OCRmyPDF (π₯37 Β· β 18K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (π₯38 Β· β 18K Β· π) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 1.2K Β· π₯ 7K Β· π¦ 1.2K Β· π 1.2K - 9% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 100 Β· π 1.2K Β· π₯ 7.2K Β· π¦ 1.2K Β· π 1.2K - 9% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 200K / month Β· π¦ 42 Β· β±οΈ 08.02.2025):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 190K / month Β· π¦ 42 Β· β±οΈ 08.02.2025):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 90K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 91K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
@@ -4085,14 +4107,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 770K / month Β· π¦ 250 Β· β±οΈ 24.09.2024):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 760K / month Β· π¦ 250 Β· β±οΈ 24.09.2024):
```
pip install easyocr
```
Tesseract (π₯32 Β· β 6K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2
+Tesseract (π₯31 Β· β 6K) - Python-tesseract is an optical character recognition (OCR) tool for.. Apache-2
-- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 49 Β· π 720 Β· π 370 - 2% open Β· β±οΈ 04.02.2025):
+- [GitHub](https://github.com/madmaze/pytesseract) (π¨βπ» 49 Β· π 720 Β· π 370 - 2% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/madmaze/pytesseract
@@ -4106,14 +4128,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c conda-forge pytesseract
```
tesserocr (π₯31 Β· β 2.1K Β· π) - A Python wrapper for the tesseract-ocr API. MIT
+tesserocr (π₯31 Β· β 2.1K) - A Python wrapper for the tesseract-ocr API. MIT
-- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 31 Β· π 260 Β· π₯ 820 Β· π¦ 1.2K Β· π 280 - 17% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/sirfz/tesserocr) (π¨βπ» 31 Β· π 260 Β· π₯ 860 Β· π¦ 1.2K Β· π 280 - 17% open Β· β±οΈ 12.02.2025):
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 96K / month Β· π¦ 43 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 100K / month Β· π¦ 43 Β· β±οΈ 12.02.2025):
```
pip install tesserocr
```
@@ -4129,7 +4151,7 @@ _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₯ 4.9K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 5K / month Β· π¦ 4 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
@@ -4137,7 +4159,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Show 6 hidden projects...
- keras-ocr (π₯25 Β· β 1.4K Β· π) - A packaged and flexible version of the CRAFT text detector.. MIT βοΈGPL-3.0
+- calamari (π₯23 Β· β 1.1K) - Line based ATR Engine based on OCRopy. 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
@@ -4171,7 +4193,7 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
_Libraries for web scraping, crawling, downloading, and mining as well as libraries._
-π best-of-web-python - Web Scraping ( β 2.4K Β· π€) - Collection of web-scraping and crawling libraries.
+π best-of-web-python - Web Scraping ( β 2.5K Β· π€) - Collection of web-scraping and crawling libraries.
@@ -4195,46 +4217,46 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched
_Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
-Ray (π₯47 Β· β 35K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2
+Ray (π₯47 Β· β 36K) - 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 6K Β· π₯ 250 Β· π¦ 21K Β· π 20K - 21% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1.2K Β· π 6K Β· π₯ 250 Β· π¦ 21K Β· π 20K - 21% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 6.2M / month Β· π¦ 880 Β· β±οΈ 11.02.2025):
+- [PyPi](https://pypi.org/project/ray) (π₯ 5.9M / month Β· π¦ 880 Β· β±οΈ 11.02.2025):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 670K Β· β±οΈ 12.02.2025):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 680K Β· β±οΈ 15.02.2025):
```
conda install -c conda-forge ray-tune
```
dask (π₯44 Β· β 13K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 620 Β· π 1.7K Β· π¦ 70K Β· π 5.5K - 20% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 620 Β· π 1.7K Β· π¦ 70K Β· π 5.5K - 20% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 10M / month Β· π¦ 2.6K Β· β±οΈ 17.01.2025):
+- [PyPi](https://pypi.org/project/dask) (π₯ 10M / month Β· π¦ 2.7K Β· β±οΈ 13.02.2025):
```
pip install dask
```
-- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 13M Β· β±οΈ 19.01.2025):
+- [Conda](https://anaconda.org/conda-forge/dask) (π₯ 13M Β· β±οΈ 14.02.2025):
```
conda install -c conda-forge dask
```
DeepSpeed (π₯41 Β· β 37K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/deepspeedai/DeepSpeed) (π¨βπ» 370 Β· π 4.2K Β· π¦ 11K Β· π 3.1K - 35% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/deepspeedai/DeepSpeed) (π¨βπ» 370 Β· π 4.2K Β· π¦ 11K Β· π 3.1K - 35% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 620K / month Β· π¦ 240 Β· β±οΈ 21.01.2025):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 590K / month Β· π¦ 240 Β· β±οΈ 21.01.2025):
```
pip install deepspeed
```
@@ -4245,28 +4267,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (π₯40 Β· β 1.6K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 720 Β· π¦ 38K Β· π 4K - 38% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 330 Β· π 730 Β· π¦ 38K Β· π 4K - 38% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 4.3M / month Β· π¦ 900 Β· β±οΈ 17.01.2025):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 4.1M / month Β· π¦ 920 Β· β±οΈ 13.02.2025):
```
pip install distributed
```
-- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 16M Β· β±οΈ 19.01.2025):
+- [Conda](https://anaconda.org/conda-forge/distributed) (π₯ 17M Β· β±οΈ 14.02.2025):
```
conda install -c conda-forge distributed
```
metrics (π₯36 Β· β 2.2K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 270 Β· π 420 Β· π₯ 6.3K Β· π¦ 37K Β· π 920 - 10% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 270 Β· π 420 Β· π₯ 6.3K Β· π¦ 37K Β· π 920 - 10% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 5.1K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 5.4K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
```
pip install metrics
```
@@ -4289,7 +4311,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
H2O-3 (π₯34 Β· β 7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.6K - 29% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 270 Β· π 2K Β· π¦ 21 Β· π 9.6K - 29% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/h2oai/h2o-3
@@ -4299,9 +4321,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install h2o
```
ColossalAI (π₯32 Β· β 39K) - Making large AI models cheaper, faster and more accessible. Apache-2
+ColossalAI (π₯32 Β· β 40K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.4K Β· π¦ 460 Β· π 1.7K - 25% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 190 Β· π 4.4K Β· π¦ 470 Β· π 1.7K - 25% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/hpcaitech/colossalai
@@ -4309,12 +4331,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (π₯32 Β· β 7.2K) - 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₯ 710 Β· π 2.7K - 38% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/intel/ipex-llm) (π¨βπ» 120 Β· π 1.3K Β· π₯ 2.6K Β· π 2.8K - 38% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 20K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 9K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
```
pip install bigdl
```
@@ -4329,12 +4351,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
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 280 Β· π¦ 7.4K Β· π 390 - 26% open Β· β±οΈ 12.01.2025):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 76 Β· π 280 Β· π¦ 7.5K Β· π 390 - 26% open Β· β±οΈ 12.01.2025):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 490K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 480K / month Β· π¦ 150 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
@@ -4343,48 +4365,48 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
conda install -c conda-forge fairscale
```
dask-ml (π₯30 Β· β 920 Β· π) - Scalable Machine Learning with Dask. BSD-3
+dask-ml (π₯30 Β· β 920) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 80 Β· π 260 Β· π¦ 1.2K Β· π 540 - 51% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 90K / month Β· π¦ 100 Β· β±οΈ 08.02.2025):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 92K / month Β· π¦ 100 Β· β±οΈ 08.02.2025):
```
pip install dask-ml
```
-- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 940K Β· β±οΈ 08.02.2025):
+- [Conda](https://anaconda.org/conda-forge/dask-ml) (π₯ 950K Β· β±οΈ 08.02.2025):
```
conda install -c conda-forge dask-ml
```
SynapseML (π₯29 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
+mpi4py (π₯30 Β· β 840) - Python bindings for MPI. BSD-3
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 790 - 48% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 30K Β· π 200 - 3% open Β· β±οΈ 16.02.2025):
```
- git clone https://github.com/microsoft/SynapseML
+ git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 270K / month Β· π¦ 7 Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 330K / month Β· π¦ 830 Β· β±οΈ 13.02.2025):
```
- pip install synapseml
+ pip install mpi4py
+ ```
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.5M Β· β±οΈ 14.02.2025):
+ ```
+ conda install -c conda-forge mpi4py
```
mpi4py (π₯29 Β· β 830) - Python bindings for MPI. BSD-3
+SynapseML (π₯29 Β· β 5.1K) - Simple and Distributed Machine Learning. MIT
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 27 Β· π 120 Β· π₯ 30K Β· π 200 - 3% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 830 Β· π 790 - 48% open Β· β±οΈ 06.02.2025):
```
- git clone https://github.com/mpi4py/mpi4py
- ```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 360K / month Β· π¦ 830 Β· β±οΈ 01.02.2025):
- ```
- pip install mpi4py
+ git clone https://github.com/microsoft/SynapseML
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 3.5M Β· β±οΈ 02.02.2025):
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 330K / month Β· π¦ 7 Β· β±οΈ 10.01.2025):
```
- conda install -c conda-forge mpi4py
+ pip install synapseml
```
Submit it (π₯28 Β· β 1.4K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
@@ -4414,7 +4436,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
conda install -c nusdbsystem singa
```
-- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 8.7K Β· β 4 Β· β±οΈ 31.05.2022):
+- [Docker Hub](https://hub.docker.com/r/apache/singa) (π₯ 8.8K Β· β 4 Β· β±οΈ 31.05.2022):
```
docker pull apache/singa
```
@@ -4426,7 +4448,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 1.1K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 950 / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
@@ -4443,36 +4465,36 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
pip install mmlspark
```
analytics-zoo (π₯23 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
+analytics-zoo (π₯22 Β· β 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2
- [GitHub](https://github.com/intel/analytics-zoo) (π¨βπ» 110 Β· π 730 Β· π 1.3K - 32% open Β· β±οΈ 09.01.2025):
```
git clone https://github.com/intel-analytics/analytics-zoo
```
-- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1.9K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
```
pip install analytics-zoo
```
Show 18 hidden projects...
-- DEAP (π₯35 Β· β 6K) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
+- DEAP (π₯34 Β· β 6K Β· π) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
- ipyparallel (π₯29 Β· β 2.6K) - IPython Parallel: Interactive Parallel Computing in.. βUnlicensed Apache-2
- TensorFlowOnSpark (π₯26 Β· β 3.9K Β· π) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 MIT keras Apache-2
- Mesh (π₯22 Β· β 1.6K Β· π) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 Apache-2
- sk-dist (π₯21 Β· β 280 Β· π) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 MIT
- launchpad (π₯19 Β· β 320 Β· π) - Launchpad is a library that simplifies writing.. Apache-2 Apache-2 Apache-2 Apache-2
- parallelformers (π₯17 Β· β 780 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
+- bluefog (π₯17 Β· β 290 Β· π) - Distributed and decentralized training framework for PyTorch.. Apache-2 Apache-2 Apache-2
+- LazyCluster (π₯14 Β· β 49 Β· π) - Distributed machine learning made simple. Apache-2
- autodist (π₯12 Β· β 130 Β· π) - Simple Distributed Deep Learning on TensorFlow. Apache-2 MIT Optuna (π₯43 Β· β 11K) - A hyperparameter optimization framework. MIT
-- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 280 Β· π 1.1K Β· π¦ 22K Β· π 1.7K - 3% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/optuna/optuna) (π¨βπ» 290 Β· π 1.1K Β· π¦ 22K Β· π 1.7K - 3% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/optuna/optuna
```
-- [PyPi](https://pypi.org/project/optuna) (π₯ 3.5M / month Β· π¦ 1.2K Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/optuna) (π₯ 3.4M / month Β· π¦ 1.2K Β· β±οΈ 12.02.2025):
```
pip install optuna
```
-- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2.2M Β· β±οΈ 20.01.2025):
+- [Conda](https://anaconda.org/conda-forge/optuna) (π₯ 2.3M Β· β±οΈ 14.02.2025):
```
conda install -c conda-forge optuna
```
AutoGluon (π₯36 Β· β 8.4K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
+AutoGluon (π₯36 Β· β 8.5K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 130 Β· π 950 Β· π¦ 970 Β· π 1.6K - 24% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 130 Β· π 960 Β· π¦ 980 Β· π 1.6K - 24% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 230K / month Β· π¦ 30 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 170K / month Β· π¦ 30 Β· β±οΈ 20.02.2025):
```
pip install autogluon
```
@@ -4522,12 +4544,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (π₯36 Β· β 2.4K) - Adaptive Experimentation Platform. MIT
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 320 Β· π¦ 890 Β· π 820 - 10% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 180 Β· π 320 Β· π¦ 900 Β· π 820 - 10% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/facebook/Ax
```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 140K / month Β· π¦ 57 Β· β±οΈ 03.02.2025):
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 130K / month Β· π¦ 57 Β· β±οΈ 03.02.2025):
```
pip install ax-platform
```
@@ -4538,12 +4560,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (π₯34 Β· β 3.2K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 140 Β· π 410 Β· π¦ 1.3K Β· π 570 - 13% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 140 Β· π 410 Β· π¦ 1.3K Β· π 570 - 13% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/pytorch/botorch
```
-- [PyPi](https://pypi.org/project/botorch) (π₯ 240K / month Β· π¦ 100 Β· β±οΈ 03.02.2025):
+- [PyPi](https://pypi.org/project/botorch) (π₯ 220K / month Β· π¦ 100 Β· β±οΈ 03.02.2025):
```
pip install botorch
```
@@ -4554,7 +4576,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Hyperopt (π₯33 Β· β 7.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
-- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 19K Β· π 710 - 20% open Β· β±οΈ 27.12.2024):
+- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1.1K Β· π¦ 19K Β· π 720 - 19% open Β· β±οΈ 27.12.2024):
```
git clone https://github.com/hyperopt/hyperopt
@@ -4563,7 +4585,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
pip install hyperopt
```
-- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 810K Β· β±οΈ 20.12.2024):
+- [Conda](https://anaconda.org/conda-forge/hyperopt) (π₯ 820K Β· β±οΈ 20.12.2024):
```
conda install -c conda-forge hyperopt
```
@@ -4591,7 +4613,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/fmfn/BayesianOptimization
```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 370K / month Β· π¦ 150 Β· β±οΈ 27.12.2024):
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 340K / month Β· π¦ 150 Β· β±οΈ 27.12.2024):
```
pip install bayesian-optimization
```
@@ -4603,7 +4625,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 63K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 62K / month Β· π¦ 74 Β· β±οΈ 14.05.2024):
```
pip install featuretools
```
@@ -4619,7 +4641,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/autokeras
```
-- [PyPi](https://pypi.org/project/autokeras) (π₯ 19K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/autokeras) (π₯ 18K / month Β· π¦ 13 Β· β±οΈ 20.03.2024):
```
pip install autokeras
```
@@ -4631,7 +4653,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 390K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 380K / month Β· π¦ 120 Β· β±οΈ 04.03.2024):
```
pip install keras-tuner
```
@@ -4647,7 +4669,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 9.5K / month Β· π¦ 6 Β· β±οΈ 14.01.2025):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 8.6K / month Β· π¦ 6 Β· β±οΈ 14.01.2025):
```
pip install mljar-supervised
```
@@ -4663,7 +4685,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/shankarpandala/lazypredict
```
-- [PyPi](https://pypi.org/project/lazypredict) (π₯ 18K / month Β· π¦ 6 Β· β±οΈ 02.11.2024):
+- [PyPi](https://pypi.org/project/lazypredict) (π₯ 17K / month Β· π¦ 6 Β· β±οΈ 02.11.2024):
```
pip install lazypredict
```
@@ -4686,36 +4708,36 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
FEDOT (π₯24 Β· β 660) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 37 Β· π 88 Β· π¦ 57 Β· π 560 - 11% open Β· β±οΈ 09.02.2025):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 38 Β· π 88 Β· π¦ 57 Β· π 560 - 10% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 2.1K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 1.8K / month Β· π¦ 5 Β· β±οΈ 28.08.2024):
```
pip install fedot
```
featurewiz (π₯23 Β· β 600) - Use advanced feature engineering strategies and select best.. Apache-2
-- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 91 Β· π¦ 81 Β· π 120 - 10% open Β· β±οΈ 29.01.2025):
+- [GitHub](https://github.com/AutoViML/featurewiz) (π¨βπ» 18 Β· π 91 Β· π¦ 83 Β· β±οΈ 19.02.2025):
```
git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 15K / month Β· π¦ 4 Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 11K / month Β· π¦ 4 Β· β±οΈ 19.02.2025):
```
pip install featurewiz
```
Hyperactive (π₯23 Β· β 520) - An optimization and data collection toolbox for convenient and fast.. MIT
+Hyperactive (π₯23 Β· β 510) - An optimization and data collection toolbox for convenient and fast.. MIT
-- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 9 Β· π 42 Β· π₯ 300 Β· π¦ 36 Β· π 78 - 17% open Β· β±οΈ 24.01.2025):
+- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 9 Β· π 42 Β· π₯ 300 Β· π¦ 36 Β· π 79 - 18% open Β· β±οΈ 24.01.2025):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.5K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.2K / month Β· π¦ 13 Β· β±οΈ 15.08.2024):
```
pip install hyperactive
```
@@ -4727,19 +4749,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/AutoViML/Auto_ViML
```
-- [PyPi](https://pypi.org/project/autoviml) (π₯ 6.3K / month Β· π¦ 3 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/autoviml) (π₯ 4.5K / month Β· π¦ 3 Β· β±οΈ 30.01.2025):
```
pip install autoviml
```
AlphaPy (π₯21 Β· β 1.4K) - Python AutoML for Trading Systems and Sports Betting. Apache-2
-- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (π¨βπ» 5 Β· π 230 Β· π¦ 7 Β· π 44 - 34% open Β· β±οΈ 15.12.2024):
+- [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):
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 1.9K / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 1.4K / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
@@ -4751,19 +4773,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 610 / month Β· β±οΈ 18.08.2024):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 280 / month Β· β±οΈ 18.08.2024):
```
pip install opytimizer
```
shap-hypetune (π₯18 Β· β 570 Β· π€) - A python package for simultaneous Hyperparameters Tuning and.. MIT
-- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 69 Β· π¦ 21 Β· π 36 - 11% open Β· β±οΈ 21.02.2024):
+- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 70 Β· π¦ 21 Β· π 36 - 11% open Β· β±οΈ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
```
-- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/shap-hypetune) (π₯ 2.5K / month Β· π¦ 2 Β· β±οΈ 21.02.2024):
```
pip install shap-hypetune
```
@@ -4775,13 +4797,13 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- 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 7.7K Β· π) - Automated Machine Learning with scikit-learn. BSD-3 MIT βοΈBSD-1-Clause
+- SMAC3 (π₯26 Β· β 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. βοΈBSD-1-Clause
- GPyOpt (π₯25 Β· β 940 Β· π) - Gaussian Process Optimization using GPy. BSD-3
- AdaNet (π₯24 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2 MIT
- lightwood (π₯24 Β· β 460) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 BSD-3
- 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
- igel (π₯21 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- MLBox (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- Test Tube (π₯21 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
@@ -4798,7 +4820,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
- Parfit (π₯15 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT Apache-2
- Auptimizer (π₯13 Β· β 200 Β· π) - An automatic ML model optimization tool. βοΈGPL-3.0
-- Hypermax (π₯13 Β· β 110 Β· π) - Better, faster hyper-parameter optimization. BSD-3
+- Hypermax (π₯12 Β· β 110 Β· π) - Better, faster hyper-parameter optimization. BSD-3
- model_search (π₯11 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
- Devol (π₯11 Β· β 950 Β· π) - Genetic neural architecture search with Keras. MIT
- Hypertunity (π₯10 Β· β 140 Β· π) - A toolset for black-box hyperparameter optimisation. Apache-2
@@ -4813,12 +4835,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
FinRL (π₯31 Β· β 11K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.5K Β· π¦ 64 Β· π 730 - 33% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 120 Β· π 2.5K Β· π¦ 64 Β· π 730 - 33% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 2.3K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 2.2K / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
@@ -4830,23 +4852,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 38K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 44K / month Β· π¦ 14 Β· β±οΈ 14.12.2023):
```
pip install tf-agents
```
ViZDoom (π₯28 Β· β 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
-
-- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 390 Β· π₯ 12K Β· π¦ 300 Β· π 460 - 6% open Β· β±οΈ 08.09.2024):
-
- ```
- git clone https://github.com/mwydmuch/ViZDoom
- ```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 8.5K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
- ```
- pip install vizdoom
- ```
-Dopamine (π₯27 Β· β 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2
- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 21 Β· π 190 - 54% open Β· β±οΈ 04.11.2024):
@@ -4854,7 +4864,7 @@ _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₯ 25K / 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
```
@@ -4866,7 +4876,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/deepmind/acme
```
-- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.7K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
+- [PyPi](https://pypi.org/project/dm-acme) (π₯ 1.5K / month Β· π¦ 3 Β· β±οΈ 10.02.2022):
```
pip install dm-acme
```
@@ -4875,6 +4885,18 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
conda install -c conda-forge dm-acme
```
ViZDoom (π₯27 Β· β 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
+
+- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 55 Β· π 390 Β· π₯ 12K Β· π¦ 300 Β· π 460 - 6% open Β· β±οΈ 08.09.2024):
+
+ ```
+ git clone https://github.com/mwydmuch/ViZDoom
+ ```
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 5.6K / month Β· π¦ 15 Β· β±οΈ 20.08.2024):
+ ```
+ pip install vizdoom
+ ```
+TensorForce (π₯26 Β· β 3.3K Β· π€) - Tensorforce: a TensorFlow library for applied.. Apache-2
- [GitHub](https://github.com/tensorforce/tensorforce) (π¨βπ» 85 Β· π 530 Β· π¦ 460 Β· π 680 - 6% open Β· β±οΈ 31.07.2024):
@@ -4882,19 +4904,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 950 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 790 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
PARL (π₯25 Β· β 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2
+PARL (π₯24 Β· β 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2
- [GitHub](https://github.com/PaddlePaddle/PARL) (π¨βπ» 46 Β· π 810 Β· π¦ 130 Β· π 540 - 24% 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₯ 990 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
@@ -4913,12 +4935,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
ReAgent (π₯22 Β· β 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3
-- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 510 Β· π 160 - 53% open Β· β±οΈ 06.01.2025):
+- [GitHub](https://github.com/facebookresearch/ReAgent) (π¨βπ» 170 Β· π 510 Β· π 160 - 53% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 64 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 63 / month Β· β±οΈ 27.05.2020):
```
pip install reagent
```
@@ -4930,7 +4952,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 450 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 380 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
pip install pfrl
```
@@ -4957,8 +4979,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
- Stable Baselines (π₯24 Β· β 4.2K Β· π) - A fork of OpenAI Baselines, implementations of.. MIT
- ChainerRL (π₯24 Β· β 1.2K Β· π) - ChainerRL is a deep reinforcement learning library built on top of.. MIT
- TRFL (π₯22 Β· β 3.1K Β· π) - TensorFlow Reinforcement Learning. Apache-2 Apache-2
-- SerpentAI (π₯19 Β· β 6.8K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
+- Coach (π₯20 Β· β 2.3K Β· π) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2
+- SerpentAI (π₯18 Β· β 6.8K Β· π) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT
- DeepMind Lab (π₯17 Β· β 7.2K Β· π) - A customisable 3D platform for agent-based AI research. βUnlicensed
- Maze (π₯13 Β· β 270 Β· π) - Maze Applied Reinforcement Learning Framework. βοΈCustom Recommenders (π₯34 Β· β 20K) - Best Practices on Recommendation Systems. MIT
-- [GitHub](https://github.com/recommenders-team/recommenders) (π¨βπ» 140 Β· π 3.1K Β· π₯ 680 Β· π¦ 150 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₯ 680 Β· π¦ 150 Β· π 880 - 18% open Β· β±οΈ 19.01.2025):
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 20K / month Β· π¦ 4 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/recommenders) (π₯ 19K / month Β· π¦ 4 Β· β±οΈ 24.12.2024):
```
pip install recommenders
```
torchrec (π₯30 Β· β 2K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 320 Β· π 470 Β· π¦ 170 Β· π 470 - 71% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 320 Β· π 470 Β· π¦ 180 Β· π 470 - 71% open Β· β±οΈ 20.02.2025):
```
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₯ 1.9K / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
Cornac (π₯28 Β· β 920) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯28 Β· β 930) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 22 Β· π 150 Β· π¦ 260 Β· π 160 - 14% open Β· β±οΈ 26.01.2025):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 23 Β· π 150 Β· π¦ 260 Β· π 160 - 14% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 36K / month Β· π¦ 18 Β· β±οΈ 24.12.2024):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 31K / month Β· π¦ 18 Β· β±οΈ 24.12.2024):
```
pip install cornac
```
@@ -5017,7 +5039,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 150K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 140K / month Β· π¦ 37 Β· β±οΈ 19.05.2024):
```
pip install scikit-surprise
```
@@ -5026,32 +5048,32 @@ _Libraries for building and evaluating recommendation systems._
conda install -c conda-forge scikit-surprise
```
TF Ranking (π₯25 Β· β 2.8K Β· π€) - Learning to Rank in TensorFlow. Apache-2
+RecBole (π₯25 Β· β 3.6K) - A unified, comprehensive and efficient recommendation library. MIT
-- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 36 Β· π 480 Β· π 330 - 27% open Β· β±οΈ 18.03.2024):
+- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 75 Β· π 630 Β· π 1K - 28% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/tensorflow/ranking
+ git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 52K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 41K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
```
- pip install tensorflow_ranking
+ pip install recbole
+ ```
+- [Conda](https://anaconda.org/aibox/recbole) (π₯ 7.5K Β· β±οΈ 01.11.2023):
+ ```
+ conda install -c aibox recbole
```
RecBole (π₯24 Β· β 3.6K) - A unified, comprehensive and efficient recommendation library. MIT
+TF Ranking (π₯25 Β· β 2.8K Β· π€) - Learning to Rank in TensorFlow. Apache-2
-- [GitHub](https://github.com/RUCAIBox/RecBole) (π¨βπ» 74 Β· π 630 Β· π 1K - 28% open Β· β±οΈ 05.09.2024):
+- [GitHub](https://github.com/tensorflow/ranking) (π¨βπ» 36 Β· π 480 Β· π 330 - 27% open Β· β±οΈ 18.03.2024):
```
- git clone https://github.com/RUCAIBox/RecBole
- ```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 49K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
- ```
- pip install recbole
+ git clone https://github.com/tensorflow/ranking
```
-- [Conda](https://anaconda.org/aibox/recbole) (π₯ 7.4K Β· β±οΈ 01.11.2023):
+- [PyPi](https://pypi.org/project/tensorflow_ranking) (π₯ 51K / month Β· π¦ 15 Β· β±οΈ 18.03.2024):
```
- conda install -c aibox recbole
+ pip install tensorflow_ranking
```
TF Recommenders (π₯24 Β· β 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2
@@ -5076,8 +5098,8 @@ _Libraries for building and evaluating recommendation systems._
- recmetrics (π₯19 Β· β 580 Β· π) - A library of metrics for evaluating recommender systems. MIT
- Spotlight (π₯18 Β· β 3K Β· π) - Deep recommender models using PyTorch. MIT MIT Apache-2
- Collie (π₯17 Β· β 110 Β· π) - A library for preparing, training, and evaluating scalable deep.. BSD-3 Apache-2
@@ -5087,30 +5109,30 @@ _Libraries for building and evaluating recommendation systems._
_Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
-PySyft (π₯37 Β· β 9.6K Β· π) - Perform data science on data that remains in someone elses.. Apache-2
+PySyft (π₯36 Β· β 9.6K Β· π) - Perform data science on data that remains in someone elses.. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.2K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 520 Β· π 2K Β· π₯ 2.1K Β· π¦ 1 Β· π 3.4K - 1% open Β· β±οΈ 16.02.2025):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 16K / month Β· π¦ 4 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/syft) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 16.02.2025):
```
pip install syft
```
Opacus (π₯31 Β· β 1.8K) - Training PyTorch models with differential privacy. Apache-2
+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 350 Β· π₯ 140 Β· π¦ 990 Β· π 320 - 21% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 85 Β· π 360 Β· π₯ 140 Β· π¦ 1K Β· π 320 - 21% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/pytorch/opacus
```
-- [PyPi](https://pypi.org/project/opacus) (π₯ 100K / month Β· π¦ 36 Β· β±οΈ 03.08.2024):
+- [PyPi](https://pypi.org/project/opacus) (π₯ 99K / month Β· π¦ 42 Β· β±οΈ 18.02.2025):
```
pip install opacus
```
-- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 21K Β· β±οΈ 02.01.2025):
+- [Conda](https://anaconda.org/conda-forge/opacus) (π₯ 21K Β· β±οΈ 19.02.2025):
```
conda install -c conda-forge opacus
```
@@ -5127,14 +5149,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
pip install tensorflow-privacy
```
TFEncrypted (π₯25 Β· β 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
+TFEncrypted (π₯24 Β· β 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2
- [GitHub](https://github.com/tf-encrypted/tf-encrypted) (π¨βπ» 29 Β· π 210 Β· π¦ 68 Β· π 440 - 32% open Β· β±οΈ 25.09.2024):
```
git clone https://github.com/tf-encrypted/tf-encrypted
```
-- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 1.3K / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
+- [PyPi](https://pypi.org/project/tf-encrypted) (π₯ 760 / month Β· π¦ 9 Β· β±οΈ 16.11.2022):
```
pip install tf-encrypted
```
@@ -5158,7 +5180,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 510 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 600 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
@@ -5175,9 +5197,9 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
_Libraries to organize, track, and visualize machine learning experiments._
-mlflow (π₯44 Β· β 19K) - Open source platform for the machine learning lifecycle. Apache-2
+mlflow (π₯44 Β· β 20K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 820 Β· π 4.3K Β· π¦ 52K Β· π 4.4K - 38% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 820 Β· π 4.3K Β· π¦ 53K Β· π 4.4K - 38% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/mlflow/mlflow
@@ -5186,19 +5208,19 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
pip install mlflow
```
-- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 3M Β· β±οΈ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 3M Β· β±οΈ 13.02.2025):
```
conda install -c conda-forge mlflow
```
wandb client (π₯42 Β· β 9.5K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 210 Β· π 700 Β· π₯ 610 Β· π¦ 66K Β· π 3.5K - 17% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 210 Β· π 700 Β· π₯ 620 Β· π¦ 67K Β· π 3.5K - 17% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/wandb/client
```
-- [PyPi](https://pypi.org/project/wandb) (π₯ 17M / month Β· π¦ 1.6K Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/wandb) (π₯ 16M / month Β· π¦ 1.6K Β· β±οΈ 05.02.2025):
```
pip install wandb
```
@@ -5209,60 +5231,60 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (π₯42 Β· β 6.8K) - TensorFlows Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 320 Β· π 1.7K Β· π¦ 290K Β· π 1.9K - 35% open Β· β±οΈ 30.01.2025):
+- [GitHub](https://github.com/tensorflow/tensorboard) (π¨βπ» 320 Β· π 1.7K Β· π¦ 290K Β· π 1.9K - 35% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 24M / month Β· π¦ 2.5K Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 23M / month Β· π¦ 2.5K Β· β±οΈ 12.02.2025):
```
pip install tensorboard
```
-- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.3M Β· β±οΈ 10.12.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorboard) (π₯ 5.4M Β· β±οΈ 10.12.2024):
```
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¦ 21K Β· π 4.7K - 5% open Β· β±οΈ 09.02.2025):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 310 Β· π 1.2K Β· π¦ 21K Β· π 4.8K - 5% open Β· β±οΈ 09.02.2025):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 820K / month Β· π¦ 140 Β· β±οΈ 13.01.2025):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 960K / month Β· π¦ 140 Β· β±οΈ 15.02.2025):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.6M Β· β±οΈ 13.01.2025):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 2.6M Β· β±οΈ 15.02.2025):
```
conda install -c conda-forge dvc
```
SageMaker SDK (π₯41 Β· β 2.1K) - A library for training and deploying machine learning.. Apache-2
+SageMaker SDK (π₯40 Β· β 2.1K Β· π) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 470 Β· π 1.1K Β· π¦ 5.3K Β· π 1.6K - 22% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 470 Β· π 1.2K Β· π¦ 5.3K Β· π 1.6K - 21% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 24M / month Β· π¦ 160 Β· β±οΈ 01.02.2025):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 23M / month Β· π¦ 170 Β· β±οΈ 19.02.2025):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.4M Β· β±οΈ 01.02.2025):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 1.4M Β· β±οΈ 20.02.2025):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯35 Β· β 9.1K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯36 Β· β 9.1K) - An open-source, low-code machine learning library in Python. MIT
-- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.8K Β· π₯ 720 Β· π¦ 7.1K Β· π 2.3K - 16% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.8K Β· π₯ 720 Β· π¦ 7.1K Β· π 2.3K - 16% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 300K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 290K / month Β· π¦ 31 Β· β±οΈ 28.04.2024):
```
pip install pycaret
```
@@ -5273,28 +5295,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (π₯35 Β· β 8.5K) - Open Source AI/ML Platform. Apache-2
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 100 Β· π 790 Β· π¦ 800 Β· π 760 - 42% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 100 Β· π 790 Β· π¦ 800 Β· π 760 - 42% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 300K / month Β· π¦ 50 Β· β±οΈ 11.02.2025):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 280K / month Β· π¦ 50 Β· β±οΈ 11.02.2025):
```
pip install metaflow
```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 270K Β· β±οΈ 05.02.2025):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 270K Β· β±οΈ 19.02.2025):
```
conda install -c conda-forge metaflow
```
tensorboardX (π₯34 Β· β 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
-- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 860 Β· π₯ 460 Β· π¦ 53K Β· π 460 - 17% open Β· β±οΈ 01.01.2025):
+- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 860 Β· π₯ 460 Β· π¦ 54K Β· π 460 - 17% open Β· β±οΈ 01.01.2025):
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.6M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.5M / month Β· π¦ 620 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -5303,41 +5325,41 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge tensorboardx
```
ClearML (π₯33 Β· β 5.8K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
+snakemake (π₯34 Β· β 2.4K) - This is the development home of the workflow management system.. MIT
-- [GitHub](https://github.com/clearml/clearml) (π¨βπ» 100 Β· π 660 Β· π₯ 3.1K Β· π¦ 1.6K Β· π 1.1K - 46% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 350 Β· π 560 Β· π¦ 2.2K Β· π 1.9K - 61% open Β· β±οΈ 19.02.2025):
```
- git clone https://github.com/allegroai/clearml
+ git clone https://github.com/snakemake/snakemake
```
-- [PyPi](https://pypi.org/project/clearml) (π₯ 390K / month Β· π¦ 53 Β· β±οΈ 05.02.2025):
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 64K / month Β· π¦ 260 Β· β±οΈ 12.02.2025):
```
- pip install clearml
+ pip install snakemake
```
-- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (π₯ 30K Β· β±οΈ 05.10.2020):
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.3M Β· β±οΈ 12.02.2025):
```
- docker pull allegroai/trains
+ conda install -c bioconda snakemake
```
snakemake (π₯33 Β· β 2.4K Β· π) - This is the development home of the workflow management system.. MIT
+ClearML (π₯33 Β· β 5.8K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 350 Β· π 560 Β· π¦ 2.2K Β· π 1.9K - 61% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/clearml/clearml) (π¨βπ» 100 Β· π 660 Β· π₯ 3.1K Β· π¦ 1.6K Β· π 1.1K - 46% open Β· β±οΈ 18.02.2025):
```
- git clone https://github.com/snakemake/snakemake
+ git clone https://github.com/allegroai/clearml
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 73K / month Β· π¦ 260 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/clearml) (π₯ 380K / month Β· π¦ 53 Β· β±οΈ 05.02.2025):
```
- pip install snakemake
+ pip install clearml
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.3M Β· β±οΈ 12.02.2025):
+- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (π₯ 30K Β· β±οΈ 05.10.2020):
```
- conda install -c bioconda snakemake
+ docker pull allegroai/trains
```
kaggle (π₯32 Β· β 6.4K) - Official Kaggle API. Apache-2
-- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 49 Β· π 1.1K Β· π¦ 21 Β· π 500 - 30% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/Kaggle/kaggle-api) (π¨βπ» 49 Β· π 1.1K Β· π¦ 21 Β· π 500 - 30% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/Kaggle/kaggle-api
@@ -5353,12 +5375,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (π₯32 Β· β 5.4K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 80 Β· π 330 Β· π¦ 810 Β· π 1.1K - 36% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 80 Β· π 330 Β· π¦ 810 Β· π 1.1K - 36% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 180K / month Β· π¦ 41 Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/aim) (π₯ 190K / month Β· π¦ 41 Β· β±οΈ 17.02.2025):
```
pip install aim
```
@@ -5386,35 +5408,35 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/PaddlePaddle/VisualDL
```
-- [PyPi](https://pypi.org/project/visualdl) (π₯ 140K / 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
```
sacred (π₯29 Β· β 4.3K Β· π) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
+sacred (π₯29 Β· β 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
- [GitHub](https://github.com/IDSIA/sacred) (π¨βπ» 110 Β· π 380 Β· π¦ 3.4K 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₯ 23K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 22K / month Β· π¦ 60 Β· β±οΈ 26.11.2024):
```
pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 7.9K Β· β±οΈ 28.11.2023):
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 8K Β· β±οΈ 28.11.2023):
```
conda install -c conda-forge sacred
```
Neptune.ai (π₯29 Β· β 600) - The experiment tracker for foundation model training. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 64 Β· π¦ 740 Β· π 250 - 13% open Β· β±οΈ 19.12.2024):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 55 Β· π 64 Β· π¦ 750 Β· π 250 - 13% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 510K / month Β· π¦ 77 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 480K / month Β· π¦ 77 Β· β±οΈ 31.10.2024):
```
pip install neptune-client
```
@@ -5435,14 +5457,14 @@ _Libraries to organize, track, and visualize machine learning experiments._
pip install livelossplot
```
Labml (π₯26 Β· β 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
+Labml (π₯27 Β· β 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 200 Β· π 50 - 12% open Β· β±οΈ 30.01.2025):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 140 Β· π¦ 200 Β· π 50 - 12% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 5.4K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
+- [PyPi](https://pypi.org/project/labml) (π₯ 3.9K / month Β· π¦ 14 Β· β±οΈ 15.09.2024):
```
pip install labml
```
@@ -5454,19 +5476,19 @@ _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₯ 180K / month Β· π¦ 31 Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 190K / month Β· π¦ 31 Β· β±οΈ 01.10.2024):
```
pip install ml-metadata
```
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» 140 Β· π 280 Β· π 150 - 56% open Β· β±οΈ 03.02.2025):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 140 Β· π 280 Β· π 150 - 56% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 4.8K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 4.9K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
@@ -5478,7 +5500,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 5.7K / month Β· π¦ 8 Β· β±οΈ 13.01.2025):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 4.6K / month Β· π¦ 8 Β· β±οΈ 13.01.2025):
```
pip install gokart
```
@@ -5490,7 +5512,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/MrPowers/quinn
```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 740K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/quinn) (π₯ 710K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
```
pip install quinn
```
@@ -5502,7 +5524,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/replicate/keepsake
```
-- [PyPi](https://pypi.org/project/keepsake) (π₯ 330 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
+- [PyPi](https://pypi.org/project/keepsake) (π₯ 320 / month Β· π¦ 1 Β· β±οΈ 25.01.2021):
```
pip install keepsake
```
@@ -5514,7 +5536,7 @@ _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₯ 210K / month Β· π¦ 88 Β· β±οΈ 03.02.2025):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 210K / month Β· π¦ 90 Β· β±οΈ 17.02.2025):
```
pip install comet_ml
```
@@ -5528,8 +5550,8 @@ _Libraries to organize, track, and visualize machine learning experiments._
- Catalyst (π₯28 Β· β 3.3K Β· π) - Accelerated deep learning R&D. Apache-2 MIT
- Guild AI (π₯23 Β· β 880 Β· π) - Experiment tracking, ML developer tools. Apache-2
-- SKLL (π₯23 Β· β 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βUnlicensed MIT βUnlicensed Apache-2
- 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
@@ -5552,12 +5574,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (π₯43 Β· β 18K) - Open standard for machine learning interoperability. Apache-2
-- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 330 Β· π 3.7K Β· π₯ 23K Β· π¦ 40K Β· π 2.9K - 11% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/onnx/onnx) (π¨βπ» 340 Β· π 3.7K Β· π₯ 23K Β· π¦ 40K Β· π 2.9K - 11% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 5.8M / month Β· π¦ 1.1K Β· β±οΈ 01.10.2024):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 5.7M / month Β· π¦ 1.1K Β· β±οΈ 01.10.2024):
```
pip install onnx
```
@@ -5566,9 +5588,9 @@ _Libraries to serialize models to files, convert between a variety of model form
conda install -c conda-forge onnx
```
triton (π₯43 Β· β 14K) - Development repository for the Triton language and compiler. MIT
+triton (π₯43 Β· β 15K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 370 Β· π 1.7K Β· π¦ 53K Β· π 1.6K - 42% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 370 Β· π 1.7K Β· π¦ 54K Β· π 1.6K - 43% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/openai/triton
@@ -5578,18 +5600,18 @@ _Libraries to serialize models to files, convert between a variety of model form
pip install triton
```
huggingface_hub (π₯38 Β· β 2.3K) - The official Python client for the Huggingface Hub. Apache-2
+huggingface_hub (π₯38 Β· β 2.4K) - The official Python client for the Huggingface Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 220 Β· π 610 Β· π 1.1K - 14% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 220 Β· π 630 Β· π 1.1K - 15% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 58M / month Β· π¦ 2.4K Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 62M / month Β· π¦ 2.5K Β· β±οΈ 20.02.2025):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 2.7M Β· β±οΈ 31.01.2025):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 2.7M Β· β±οΈ 19.02.2025):
```
conda install -c conda-forge huggingface_hub
```
@@ -5601,35 +5623,35 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 700K / month Β· π¦ 87 Β· β±οΈ 21.01.2025):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 650K / month Β· π¦ 87 Β· β±οΈ 21.01.2025):
```
pip install coremltools
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 88K Β· β±οΈ 27.12.2024):
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 89K Β· β±οΈ 27.12.2024):
```
conda install -c conda-forge coremltools
```
BentoML (π₯35 Β· β 7.4K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 220 Β· π 800 Β· π₯ 600 Β· π¦ 2.4K Β· π 1.1K - 14% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 220 Β· π 810 Β· π₯ 540 Β· π¦ 2.4K Β· π 1.1K - 14% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/bentoml/BentoML
```
-- [PyPi](https://pypi.org/project/bentoml) (π₯ 100K / month Β· π¦ 34 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/bentoml) (π₯ 100K / month Β· π¦ 34 Β· β±οΈ 20.02.2025):
```
pip install bentoml
```
TorchServe (π₯33 Β· β 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 870 Β· π₯ 7.6K Β· π¦ 810 Β· π 1.7K - 25% open Β· β±οΈ 20.12.2024):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 220 Β· π 870 Β· π₯ 7.6K Β· π¦ 820 Β· π 1.7K - 25% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 52K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 57K / month Β· π¦ 22 Β· β±οΈ 30.09.2024):
```
pip install torchserve
```
@@ -5644,12 +5666,12 @@ _Libraries to serialize models to files, convert between a variety of model form
hls4ml (π₯29 Β· β 1.4K) - Machine learning on FPGAs using HLS. Apache-2
-- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 63 Β· π 420 Β· π¦ 39 Β· π 460 - 41% open Β· β±οΈ 08.02.2025):
+- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 63 Β· π 420 Β· π¦ 40 Β· π 460 - 41% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 09.12.2024):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 1.6K / month Β· π¦ 1 Β· β±οΈ 09.12.2024):
```
pip install hls4ml
```
@@ -5665,7 +5687,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 6.6K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 5.2K / month Β· π¦ 7 Β· β±οΈ 25.10.2024):
```
pip install hummingbird-ml
```
@@ -5681,7 +5703,7 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 810 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 620 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
@@ -5693,7 +5715,7 @@ _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₯ 320 / month Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 290 / month Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
@@ -5702,7 +5724,7 @@ _Libraries to serialize models to files, convert between a variety of model form
- mmdnn (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
- m2cgen (π₯25 Β· β 2.8K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
-- sklearn-porter (π₯24 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 BSD-3 Apache-2
- OMLT (π₯20 Β· β 300) - 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
@@ -5721,12 +5743,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (π₯41 Β· β 23K) - A game theoretic approach to explain the output of any machine learning model. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 260 Β· π 3.3K Β· π¦ 25K Β· π 2.6K - 26% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 260 Β· π 3.3K Β· π¦ 26K Β· π 2.6K - 26% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 8.6M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
+- [PyPi](https://pypi.org/project/shap) (π₯ 8.3M / month Β· π¦ 750 Β· β±οΈ 27.06.2024):
```
pip install shap
```
@@ -5737,19 +5759,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (π₯37 Β· β 29K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 70K Β· π¦ 650 Β· π 1.2K - 1% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.8K Β· π₯ 84K Β· π¦ 650 Β· π 1.2K - 1% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 27K / month Β· π¦ 83 Β· β±οΈ 08.02.2025):
+- [PyPi](https://pypi.org/project/netron) (π₯ 28K / month Β· π¦ 83 Β· β±οΈ 14.02.2025):
```
pip install netron
```
arviz (π₯36 Β· β 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2
+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 420 Β· π₯ 180 Β· π¦ 9.1K Β· π 880 - 20% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 170 Β· π 420 Β· π₯ 180 Β· π¦ 9.2K Β· π 880 - 20% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/arviz-devs/arviz
@@ -5765,24 +5787,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
InterpretML (π₯34 Β· β 6.4K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 740 Β· π¦ 830 Β· π 460 - 22% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 48 Β· π 740 Β· π¦ 830 Β· π 460 - 22% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/interpretml/interpret
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 160K / month Β· π¦ 50 Β· β±οΈ 06.01.2025):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 170K / month Β· π¦ 50 Β· β±οΈ 06.01.2025):
```
pip install interpret
```
Captum (π₯33 Β· β 5.1K Β· π) - Model interpretability and understanding for PyTorch. BSD-3
+Captum (π₯34 Β· β 5.1K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 120 Β· π 500 Β· π¦ 2.8K Β· π 590 - 42% open Β· β±οΈ 22.01.2025):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 120 Β· π 500 Β· π¦ 2.9K Β· π 590 - 41% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/pytorch/captum
```
-- [PyPi](https://pypi.org/project/captum) (π₯ 260K / month Β· π¦ 130 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/captum) (π₯ 250K / month Β· π¦ 130 Β· β±οΈ 05.12.2023):
```
pip install captum
```
@@ -5810,7 +5832,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 9.8K / month Β· π¦ 4 Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 9K / month Β· π¦ 4 Β· β±οΈ 13.02.2025):
```
pip install shapash
```
@@ -5833,12 +5855,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
fairlearn (π₯30 Β· β 2K) - A Python package to assess and improve fairness of machine learning.. MIT
-- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 92 Β· π 420 Β· π¦ 3 Β· π 510 - 31% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 94 Β· π 430 Β· π¦ 3 Β· π 510 - 31% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 140K / month Β· π¦ 63 Β· β±οΈ 11.12.2024):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 130K / month Β· π¦ 63 Β· β±οΈ 11.12.2024):
```
pip install fairlearn
```
@@ -5854,7 +5876,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/bmabey/pyLDAvis
```
-- [PyPi](https://pypi.org/project/pyldavis) (π₯ 130K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
+- [PyPi](https://pypi.org/project/pyldavis) (π₯ 120K / month Β· π¦ 100 Β· β±οΈ 23.04.2023):
```
pip install pyldavis
```
@@ -5863,18 +5885,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge pyldavis
```
DoWhy (π₯29 Β· β 7.3K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
+DoWhy (π₯28 Β· β 7.3K) - 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₯ 42 Β· π¦ 520 Β· π 490 - 27% open Β· β±οΈ 21.01.2025):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 43K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 42K / month Β· π¦ 18 Β· β±οΈ 24.11.2024):
```
pip install dowhy
```
-- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 38K Β· β±οΈ 25.11.2024):
+- [Conda](https://anaconda.org/conda-forge/dowhy) (π₯ 39K Β· β±οΈ 25.11.2024):
```
conda install -c conda-forge dowhy
```
@@ -5897,7 +5919,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Model Analysis (π₯28 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 08.01.2025):
+- [GitHub](https://github.com/tensorflow/model-analysis) (π¨βπ» 59 Β· π 280 Β· π 97 - 39% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/tensorflow/model-analysis
@@ -5914,7 +5936,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.1K / month Β· π¦ 3 Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 2.5K / month Β· π¦ 3 Β· β±οΈ 20.12.2024):
```
pip install lit-nlp
```
@@ -5930,37 +5952,37 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 20K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 21K / month Β· π¦ 32 Β· β±οΈ 08.04.2024):
```
pip install aif360
```
-- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 19K Β· β±οΈ 05.01.2025):
+- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 20K Β· β±οΈ 05.01.2025):
```
conda install -c conda-forge aif360
```
responsible-ai-widgets (π₯26 Β· β 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT
+imodels (π₯26 Β· β 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 43 Β· π 380 Β· π 320 - 26% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 25 Β· π 120 Β· π¦ 110 Β· π 95 - 38% open Β· β±οΈ 18.02.2025):
```
- git clone https://github.com/microsoft/responsible-ai-toolbox
+ git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 8.8K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 24K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
```
- pip install raiwidgets
+ pip install imodels
```
imodels (π₯26 Β· β 1.4K) - Interpretable ML package for concise, transparent, and accurate.. MIT
+responsible-ai-widgets (π₯25 Β· β 1.5K) - Responsible AI Toolbox is a suite of tools providing.. MIT
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 24 Β· π 120 Β· π¦ 110 Β· π 95 - 38% open Β· β±οΈ 08.01.2025):
+- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 43 Β· π 380 Β· π 320 - 26% open Β· β±οΈ 07.02.2025):
```
- git clone https://github.com/csinva/imodels
+ git clone https://github.com/microsoft/responsible-ai-toolbox
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 26K / month Β· π¦ 9 Β· β±οΈ 15.10.2024):
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 7.3K / month Β· π¦ 6 Β· β±οΈ 08.07.2024):
```
- pip install imodels
+ pip install raiwidgets
```
CausalNex (π₯24 Β· β 2.3K Β· π€) - A Python library that helps data scientists to infer.. Apache-2
@@ -5970,19 +5992,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 2.7K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 2.5K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
```
pip install causalnex
```
Explainability 360 (π₯23 Β· β 1.7K Β· π€) - Interpretability and explainability of data and.. Apache-2
+Explainability 360 (π₯24 Β· β 1.7K Β· π€) - Interpretability and explainability of data and.. Apache-2
- [GitHub](https://github.com/Trusted-AI/AIX360) (π¨βπ» 41 Β· π 300 Β· π¦ 110 Β· π 85 - 63% open Β· β±οΈ 16.07.2024):
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 960 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
```
pip install aix360
```
@@ -5994,19 +6016,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 24K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 25K / month Β· π¦ 8 Β· β±οΈ 30.01.2024):
```
pip install aequitas
```
What-If Tool (π₯22 Β· β 930 Β· π€) - Source code/webpage/demos for the What-If Tool. Apache-2
+What-If Tool (π₯22 Β· β 940 Β· π€) - Source code/webpage/demos for the What-If Tool. Apache-2
- [GitHub](https://github.com/PAIR-code/what-if-tool) (π¨βπ» 20 Β· π 170 Β· π¦ 2 Β· π 150 - 61% open Β· β±οΈ 01.02.2024):
```
git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 8.2K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 7.7K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
```
pip install witwidget
```
@@ -6014,7 +6036,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
conda install -c conda-forge tensorboard-plugin-wit
```
-- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 430 / month Β· π¦ 3 Β· β±οΈ 12.10.2021):
+- [npm](https://www.npmjs.com/package/wit-widget) (π₯ 350 / month Β· π¦ 3 Β· β±οΈ 12.10.2021):
```
npm install wit-widget
```
@@ -6038,7 +6060,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 860 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 750 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
pip install ecco
```
@@ -6054,7 +6076,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 1.7K / month Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 1.5K / month Β· β±οΈ 22.01.2025):
```
pip install fairness-indicators
```
@@ -6066,36 +6088,48 @@ _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₯ 32K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
+- [PyPi](https://pypi.org/project/dice-ml) (π₯ 31K / month Β· π¦ 6 Β· β±οΈ 27.10.2023):
```
pip install dice-ml
```
ExplainX.ai (π₯16 Β· β 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT
+LOFO (π₯19 Β· β 830) - Leave One Feature Out Importance. MIT
+
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 87 Β· π¦ 37 Β· π 30 - 13% open Β· β±οΈ 14.02.2025):
+
+ ```
+ git clone https://github.com/aerdem4/lofo-importance
+ ```
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 4.4K / month Β· π¦ 5 Β· β±οΈ 14.02.2025):
+ ```
+ pip install lofo-importance
+ ```
+ExplainX.ai (π₯15 Β· β 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT
- [GitHub](https://github.com/explainX/explainx) (π¨βπ» 5 Β· π 53 Β· π₯ 20 Β· π 39 - 25% open Β· β±οΈ 21.08.2024):
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 1.2K / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 890 / month Β· β±οΈ 04.02.2021):
```
pip install explainx
```
interpret-text (π₯15 Β· β 420 Β· π€) - A library that incorporates state-of-the-art explainers.. MIT
+interpret-text (π₯14 Β· β 420 Β· π€) - A library that incorporates state-of-the-art explainers.. MIT
- [GitHub](https://github.com/interpretml/interpret-text) (π¨βπ» 18 Β· π 69 Β· π 100 - 84% open Β· β±οΈ 05.02.2024):
```
git clone https://github.com/interpretml/interpret-text
```
-- [PyPi](https://pypi.org/project/interpret-text) (π₯ 160 / month Β· β±οΈ 07.12.2021):
+- [PyPi](https://pypi.org/project/interpret-text) (π₯ 120 / month Β· β±οΈ 07.12.2021):
```
pip install interpret-text
```
Show 27 hidden projects...
+Show 26 hidden projects...
- Lime (π₯33 Β· β 12K Β· π) - Lime: Explaining the predictions of any machine learning classifier. BSD-2
- Deep Checks (π₯29 Β· β 3.7K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βοΈAGPL-3.0
@@ -6115,7 +6149,6 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- deeplift (π₯21 Β· β 850 Β· π) - Public facing deeplift repo. MIT
- tcav (π₯20 Β· β 630 Β· π) - Code for the TCAV ML interpretability project. Apache-2 MIT
-- LOFO (π₯18 Β· β 830 Β· π) - Leave One Feature Out Importance. MIT
- sklearn-evaluation (π₯18 Β· β 460 Β· π) - Machine learning model evaluation made easy: plots,.. MIT Apache-2
- Anchor (π₯16 Β· β 800 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
@@ -6135,30 +6168,30 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
π ANN Benchmarks ( β 5.1K) - Benchmarks of approximate nearest neighbor libraries in Python.
-Milvus (π₯42 Β· β 32K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2
+Milvus (π₯42 Β· β 33K) - Milvus is a high-performance, cloud-native vector database built for.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 300 Β· π 3K Β· π₯ 310K Β· π 13K - 5% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 300 Β· π 3K Β· π₯ 310K Β· π 13K - 5% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/milvus-io/milvus
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.5M / month Β· π¦ 210 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.6M / month Β· π¦ 210 Β· β±οΈ 22.01.2025):
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 68M Β· β 71 Β· β±οΈ 13.02.2025):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 68M Β· β 72 Β· β±οΈ 20.02.2025):
```
docker pull milvusdb/milvus
```
Faiss (π₯41 Β· β 33K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 210 Β· π 3.7K Β· π¦ 4.4K Β· π 2.6K - 9% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 210 Β· π 3.7K Β· π¦ 4.4K Β· π 2.6K - 9% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/facebookresearch/faiss
```
-- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.5M / month Β· π¦ 210 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/pymilvus) (π₯ 1.6M / month Β· π¦ 210 Β· β±οΈ 22.01.2025):
```
pip install pymilvus
```
@@ -6167,50 +6200,50 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
conda install -c conda-forge faiss
```
Annoy (π₯34 Β· β 13K Β· π€) - Approximate Nearest Neighbors in C++/Python optimized for memory.. Apache-2
+Annoy (π₯34 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¦ 4.7K 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¦ 4.8K 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₯ 830K / month Β· π¦ 200 Β· β±οΈ 14.06.2023):
```
pip install annoy
```
-- [Conda](https://anaconda.org/conda-forge/python-annoy) (π₯ 640K Β· β±οΈ 05.09.2024):
+- [Conda](https://anaconda.org/conda-forge/python-annoy) (π₯ 650K Β· β±οΈ 05.09.2024):
```
conda install -c conda-forge python-annoy
```
hnswlib (π₯31 Β· β 4.5K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
+hnswlib (π₯31 Β· β 4.6K Β· π€) - Header-only C++/python library for fast approximate nearest.. Apache-2
- [GitHub](https://github.com/nmslib/hnswlib) (π¨βπ» 72 Β· π 670 Β· π¦ 7.6K Β· π 410 - 60% open Β· β±οΈ 17.06.2024):
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 650K / month Β· π¦ 130 Β· β±οΈ 03.12.2023):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 660K / month Β· π¦ 130 Β· β±οΈ 03.12.2023):
```
pip install hnswlib
```
-- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 310K Β· β±οΈ 20.11.2024):
+- [Conda](https://anaconda.org/conda-forge/hnswlib) (π₯ 320K Β· β±οΈ 20.11.2024):
```
conda install -c conda-forge hnswlib
```
USearch (π₯31 Β· β 2.5K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 63 Β· π 160 Β· π₯ 51K Β· π¦ 160 Β· π 200 - 40% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 63 Β· π 160 Β· π₯ 52K Β· π¦ 160 Β· π 200 - 40% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 190K / month Β· π¦ 27 Β· β±οΈ 29.12.2024):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 170K / month Β· π¦ 27 Β· β±οΈ 29.12.2024):
```
pip install usearch
```
-- [npm](https://www.npmjs.com/package/usearch) (π₯ 9.4K / month Β· π¦ 15 Β· β±οΈ 23.01.2025):
+- [npm](https://www.npmjs.com/package/usearch) (π₯ 9.9K / month Β· π¦ 15 Β· β±οΈ 23.01.2025):
```
npm install usearch
```
@@ -6226,7 +6259,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/nmslib/nmslib
```
-- [PyPi](https://pypi.org/project/nmslib) (π₯ 430K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
+- [PyPi](https://pypi.org/project/nmslib) (π₯ 410K / month Β· π¦ 63 Β· β±οΈ 03.02.2021):
```
pip install nmslib
```
@@ -6237,12 +6270,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (π₯28 Β· β 910) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2
-- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 29 Β· π 110 Β· π¦ 9.4K Β· π 140 - 52% open Β· β±οΈ 10.11.2024):
+- [GitHub](https://github.com/lmcinnes/pynndescent) (π¨βπ» 29 Β· π 110 Β· π¦ 9.5K 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₯ 1.8M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.7M / month Β· π¦ 160 Β· β±οΈ 17.06.2024):
```
pip install pynndescent
```
@@ -6258,7 +6291,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 4.4K / month Β· π¦ 12 Β· β±οΈ 23.01.2025):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 3.1K / month Β· π¦ 12 Β· β±οΈ 23.01.2025):
```
pip install ngt
```
@@ -6280,7 +6313,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (π₯41 Β· β 8.9K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 510 Β· π 2K Β· π₯ 2K Β· π¦ 5.5K Β· π 3.4K - 10% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 510 Β· π 2K Β· π₯ 2K Β· π¦ 5.6K Β· π 3.4K - 10% open Β· β±οΈ 10.02.2025):
```
git clone https://github.com/pymc-devs/pymc
@@ -6301,11 +6334,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1.3M / month Β· π¦ 620 Β· β±οΈ 08.11.2024):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 1M / month Β· π¦ 620 Β· β±οΈ 08.11.2024):
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 170K Β· β±οΈ 27.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 170K Β· β±οΈ 20.02.2025):
```
conda install -c conda-forge tensorflow-probability
```
@@ -6328,24 +6361,24 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (π₯33 Β· β 2.8K) - Python Library for learning (Structure and Parameter), inference.. MIT
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 140 Β· π 720 Β· π₯ 590 Β· π¦ 1.4K Β· π 970 - 30% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 140 Β· π 720 Β· π₯ 590 Β· π¦ 1.4K Β· π 970 - 30% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 83K / month Β· π¦ 53 Β· β±οΈ 09.08.2024):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 79K / month Β· π¦ 53 Β· β±οΈ 09.08.2024):
```
pip install pgmpy
```
Pyro (π₯32 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 05.02.2025):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 990 Β· π 1.1K - 23% open Β· β±οΈ 16.02.2025):
```
git clone https://github.com/pyro-ppl/pyro
```
-- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 350K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
+- [PyPi](https://pypi.org/project/pyro-ppl) (π₯ 330K / month Β· π¦ 190 Β· β±οΈ 02.06.2024):
```
pip install pyro-ppl
```
@@ -6356,12 +6389,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
GPyTorch (π₯32 Β· β 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT
-- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 140 Β· π 560 Β· π¦ 2.6K Β· π 1.4K - 27% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/cornellius-gp/gpytorch) (π¨βπ» 140 Β· π 560 Β· π¦ 2.7K Β· π 1.4K - 27% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/cornellius-gp/gpytorch
```
-- [PyPi](https://pypi.org/project/gpytorch) (π₯ 290K / month Β· π¦ 190 Β· β±οΈ 29.01.2025):
+- [PyPi](https://pypi.org/project/gpytorch) (π₯ 280K / month Β· π¦ 190 Β· β±οΈ 29.01.2025):
```
pip install gpytorch
```
@@ -6372,7 +6405,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pandas-ta (π₯31 Β· β 5.8K Β· π€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT
-- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 1.1K Β· π¦ 4.7K Β· π 610 - 17% open Β· β±οΈ 24.06.2024):
+- [GitHub](https://github.com/twopirllc/pandas-ta) (π¨βπ» 45 Β· π 1.1K Β· π¦ 4.8K Β· π 620 - 17% open Β· β±οΈ 24.06.2024):
```
git clone https://github.com/twopirllc/pandas-ta
@@ -6404,7 +6437,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
emcee (π₯30 Β· β 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT
-- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 75 Β· π 430 Β· π¦ 2.8K Β· π 300 - 19% open Β· β±οΈ 01.02.2025):
+- [GitHub](https://github.com/dfm/emcee) (π¨βπ» 75 Β· π 430 Β· π¦ 2.8K Β· π 300 - 19% open Β· β±οΈ 16.02.2025):
```
git clone https://github.com/dfm/emcee
@@ -6425,11 +6458,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 65K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 63K / month Β· π¦ 35 Β· β±οΈ 17.06.2024):
```
pip install gpflow
```
-- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 40K Β· β±οΈ 26.06.2024):
+- [Conda](https://anaconda.org/conda-forge/gpflow) (π₯ 41K Β· β±οΈ 26.06.2024):
```
conda install -c conda-forge gpflow
```
@@ -6441,7 +6474,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 32K / month Β· π¦ 14 Β· β±οΈ 21.12.2024):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 33K / month Β· π¦ 14 Β· β±οΈ 21.12.2024):
```
pip install bambi
```
@@ -6473,11 +6506,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 17K / month Β· π¦ 67 Β· β±οΈ 07.02.2025):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 15K / month Β· π¦ 67 Β· β±οΈ 07.02.2025):
```
pip install pomegranate
```
-- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 190K Β· β±οΈ 22.12.2024):
+- [Conda](https://anaconda.org/conda-forge/pomegranate) (π₯ 200K Β· β±οΈ 22.12.2024):
```
conda install -c conda-forge pomegranate
```
@@ -6489,7 +6522,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/stan-dev/pystan
```
-- [PyPi](https://pypi.org/project/pystan) (π₯ 780K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
+- [PyPi](https://pypi.org/project/pystan) (π₯ 740K / month Β· π¦ 160 Β· β±οΈ 03.07.2024):
```
pip install pystan
```
@@ -6500,12 +6533,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
scikit-posthocs (π₯26 Β· β 360) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
-- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 15 Β· π 40 Β· π₯ 66 Β· π¦ 990 Β· π 63 - 4% open Β· β±οΈ 18.12.2024):
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 15 Β· π 40 Β· π₯ 66 Β· π¦ 1K Β· π 63 - 4% open Β· β±οΈ 18.12.2024):
```
git clone https://github.com/maximtrp/scikit-posthocs
```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 88K / month Β· π¦ 63 Β· β±οΈ 18.12.2024):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 86K / month Β· π¦ 63 Β· β±οΈ 18.12.2024):
```
pip install scikit-posthocs
```
@@ -6521,7 +6554,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 10K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 8.8K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
pip install orbit-ml
```
@@ -6538,14 +6571,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pip install torch-uncertainty
```
Baal (π₯21 Β· β 880 Β· π€) - Bayesian active learning library for research and industrial usecases. Apache-2
+Baal (π₯21 Β· β 890 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):
```
git clone https://github.com/baal-org/baal
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 1.6K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
+- [PyPi](https://pypi.org/project/baal) (π₯ 1.4K / month Β· π¦ 2 Β· β±οΈ 11.06.2024):
```
pip install baal
```
@@ -6561,14 +6594,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/mattjj/pyhsmm
```
-- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 260 / month Β· π¦ 1 Β· β±οΈ 10.05.2017):
+- [PyPi](https://pypi.org/project/pyhsmm) (π₯ 240 / month Β· π¦ 1 Β· β±οΈ 10.05.2017):
```
pip install pyhsmm
```
Show 5 hidden projects...
-- filterpy (π₯31 Β· β 3.4K Β· π) - Python Kalman filtering and optimal estimation library. Implements.. MIT
+- 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
- Edward (π₯27 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 Apache-2 ART (π₯34 Β· β 5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT
+ART (π₯34 Β· β 5.1K) - 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¦ 660 Β· π 900 - 2% open Β· β±οΈ 04.02.2025):
@@ -6593,7 +6626,7 @@ _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₯ 64K Β· β±οΈ 22.01.2025):
+- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (π₯ 65K Β· β±οΈ 22.01.2025):
```
conda install -c conda-forge adversarial-robustness-toolbox
```
@@ -6605,7 +6638,7 @@ _Libraries for testing the robustness of machine learning models against attacks
```
git clone https://github.com/QData/TextAttack
```
-- [PyPi](https://pypi.org/project/textattack) (π₯ 5.4K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/textattack) (π₯ 4.9K / month Β· π¦ 11 Β· β±οΈ 11.03.2024):
```
pip install textattack
```
@@ -6616,12 +6649,12 @@ _Libraries for testing the robustness of machine learning models against attacks
Foolbox (π₯27 Β· β 2.8K Β· π€) - A Python toolbox to create adversarial examples that fool neural.. MIT
-- [GitHub](https://github.com/bethgelab/foolbox) (π¨βπ» 35 Β· π 420 Β· π¦ 670 Β· π 380 - 7% open Β· β±οΈ 04.03.2024):
+- [GitHub](https://github.com/bethgelab/foolbox) (π¨βπ» 35 Β· π 420 Β· π¦ 680 Β· π 380 - 7% open Β· β±οΈ 04.03.2024):
```
git clone https://github.com/bethgelab/foolbox
```
-- [PyPi](https://pypi.org/project/foolbox) (π₯ 4.5K / month Β· π¦ 14 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/foolbox) (π₯ 4.3K / month Β· π¦ 14 Β· β±οΈ 04.03.2024):
```
pip install foolbox
```
@@ -6632,10 +6665,10 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 6 hidden projects...
-- CleverHans (π₯29 Β· β 6.2K Β· π) - An adversarial example library for constructing attacks,.. MIT MIT βοΈGPL-3.0 MIT
- AdvBox (π₯19 Β· β 1.4K Β· π) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2
+- robustness (π₯19 Β· β 930 Β· π) - A library for experimenting with, training and evaluating neural.. MIT
- textflint (π₯17 Β· β 640 Β· π) - Unified Multilingual Robustness Evaluation Toolkit for.. βοΈGPL-3.0
- Adversary (π₯15 Β· β 400 Β· π) - Tool to generate adversarial text examples and test machine.. MIT
CuPy (π₯38 Β· β 9.9K) - NumPy & SciPy for GPU. MIT
-- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 400 Β· π 860 Β· π₯ 190K Β· π¦ 2.5K Β· π 2.4K - 25% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 400 Β· π 860 Β· π₯ 200K Β· π¦ 2.5K Β· π 2.4K - 25% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/cupy/cupy
@@ -6667,14 +6700,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
docker pull cupy/cupy
```
optimum (π₯36 Β· β 2.7K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2
+optimum (π₯36 Β· β 2.8K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 140 Β· π 490 Β· π¦ 4.5K Β· π 880 - 46% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 140 Β· π 490 Β· π¦ 4.6K Β· π 880 - 46% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 920K / month Β· π¦ 200 Β· β±οΈ 30.01.2025):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 880K / month Β· π¦ 200 Β· β±οΈ 30.01.2025):
```
pip install optimum
```
@@ -6685,12 +6718,12 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (π₯35 Β· β 8.7K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 920 Β· π¦ 59 Β· π 6.8K - 15% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 300 Β· π 930 Β· π¦ 59 Β· π 6.8K - 15% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/rapidsai/cudf
```
-- [PyPi](https://pypi.org/project/cudf) (π₯ 3.8K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cudf) (π₯ 3.6K / month Β· π¦ 22 Β· β±οΈ 01.06.2020):
```
pip install cudf
```
@@ -6702,19 +6735,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/NVIDIA/apex
```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 440K Β· β±οΈ 04.11.2024):
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 440K Β· β±οΈ 15.02.2025):
```
conda install -c conda-forge nvidia-apex
```
cuML (π₯31 Β· β 4.4K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 550 Β· π 2.6K - 35% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 180 Β· π 550 Β· π 2.6K - 36% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 3.4K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 3.6K / month Β· π¦ 14 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
@@ -6726,18 +6759,18 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/inducer/pycuda
```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 87K / month Β· π¦ 170 Β· β±οΈ 07.02.2025):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 84K / month Β· π¦ 170 Β· β±οΈ 07.02.2025):
```
pip install pycuda
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 880K Β· β±οΈ 17.08.2024):
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 890K Β· β±οΈ 17.08.2024):
```
conda install -c conda-forge pycuda
```
ArrayFire (π₯28 Β· β 4.6K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 95 Β· π 530 Β· π₯ 7.8K Β· π 1.7K - 19% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 96 Β· π 530 Β· π₯ 7.9K Β· π 1.7K - 19% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/arrayfire/arrayfire
@@ -6749,36 +6782,36 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuGraph (π₯27 Β· β 1.9K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 310 Β· π 1.8K - 10% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 310 Β· π 1.8K - 9% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 310 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 320 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
-- [Conda](https://anaconda.org/conda-forge/libcugraph) (π₯ 27K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/libcugraph) (π₯ 28K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge libcugraph
```
DALI (π₯25 Β· β 5.3K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 95 Β· π 630 Β· π 1.7K - 15% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 95 Β· π 630 Β· π 1.7K - 14% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/NVIDIA/DALI
```
Vulkan Kompute (π₯23 Β· β 2.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
+Vulkan Kompute (π₯22 Β· β 2.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 31 Β· π 150 Β· π₯ 620 Β· π 220 - 32% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 31 Β· π 150 Β· π₯ 630 Β· π 220 - 32% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 450 / month Β· β±οΈ 20.01.2024):
+- [PyPi](https://pypi.org/project/kp) (π₯ 430 / month Β· β±οΈ 20.01.2024):
```
pip install kp
```
@@ -6790,7 +6823,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 14K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
pip install merlin-core
```
@@ -6817,12 +6850,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (π₯39 Β· β 4.4K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 430 Β· π 1.6K Β· π¦ 22K Β· π 1.5K - 47% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 440 Β· π 1.6K Β· π¦ 22K Β· π 1.5K - 47% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.9M / month Β· π¦ 330 Β· β±οΈ 30.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 1.8M / month Β· π¦ 330 Β· β±οΈ 30.10.2024):
```
pip install tensorflow-datasets
```
@@ -6831,18 +6864,6 @@ _Libraries that extend TensorFlow with additional capabilities._
conda install -c conda-forge tensorflow-datasets
```
TFX (π₯33 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-
-- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 710 Β· π¦ 1.7K Β· π 1.1K - 22% open Β· β±οΈ 12.12.2024):
-
- ```
- git clone https://github.com/tensorflow/tfx
- ```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 51K / month Β· π¦ 17 Β· β±οΈ 11.12.2024):
- ```
- pip install tfx
- ```
-tensorflow-hub (π₯32 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):
@@ -6859,28 +6880,28 @@ _Libraries that extend TensorFlow with additional capabilities._
conda install -c conda-forge tensorflow-hub
```
TF Addons (π₯31 Β· β 1.7K Β· π€) - Useful extra functionality for TensorFlow 2.x maintained.. Apache-2
+TFX (π₯32 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. 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):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 710 Β· π¦ 1.7K Β· π 1.1K - 22% open Β· β±οΈ 12.12.2024):
```
- git clone https://github.com/tensorflow/addons
+ git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 2.3M / month Β· π¦ 370 Β· β±οΈ 28.11.2023):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 53K / month Β· π¦ 17 Β· β±οΈ 11.12.2024):
```
- pip install tensorflow-addons
+ pip install tfx
```
TF Model Optimization (π₯29 Β· β 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2
+TF Addons (π₯31 Β· β 1.7K Β· π€) - Useful extra functionality for TensorFlow 2.x maintained.. 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):
+- [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/model-optimization
+ git clone https://github.com/tensorflow/addons
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 450K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-addons) (π₯ 2.2M / month Β· π¦ 370 Β· β±οΈ 28.11.2023):
```
- pip install tensorflow-model-optimization
+ pip install tensorflow-addons
```
TensorFlow I/O (π₯29 Β· β 720 Β· π€) - Dataset, streaming, and file system extensions.. Apache-2
@@ -6890,11 +6911,23 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 1M / month Β· π¦ 61 Β· β±οΈ 01.07.2024):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 990K / 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
+
+- [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₯ 440K / month Β· π¦ 45 Β· β±οΈ 08.02.2024):
+ ```
+ pip install tensorflow-model-optimization
+ ```
+TensorFlow Transform (π₯27 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 07.02.2025):
@@ -6902,7 +6935,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 390K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 360K / month Β· π¦ 18 Β· β±οΈ 28.10.2024):
```
pip install tensorflow-transform
```
@@ -6914,19 +6947,19 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/neural-structured-learning
```
-- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 6K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
+- [PyPi](https://pypi.org/project/neural-structured-learning) (π₯ 5.8K / month Β· π¦ 3 Β· β±οΈ 29.07.2022):
```
pip install neural-structured-learning
```
Saliency (π₯22 Β· β 960 Β· π€) - Framework-agnostic implementation for state-of-the-art.. Apache-2
+Saliency (π₯22 Β· β 970 Β· π€) - Framework-agnostic implementation for state-of-the-art.. Apache-2
- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 18 Β· π 190 Β· π¦ 120 Β· π 39 - 30% open Β· β±οΈ 20.03.2024):
```
git clone https://github.com/PAIR-code/saliency
```
-- [PyPi](https://pypi.org/project/saliency) (π₯ 17K / month Β· π¦ 8 Β· β±οΈ 20.03.2024):
+- [PyPi](https://pypi.org/project/saliency) (π₯ 25K / month Β· π¦ 8 Β· β±οΈ 20.03.2024):
```
pip install saliency
```
@@ -6938,7 +6971,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/compression
```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 3.2K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 2.3K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
```
pip install tensorflow-compression
```
@@ -6950,7 +6983,7 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 33K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 31K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
pip install tensorflow-cloud
```
@@ -6959,7 +6992,7 @@ _Libraries that extend TensorFlow with additional capabilities._
- tensor2tensor (π₯33 Β· β 16K Β· π) - Library of deep learning models and datasets designed.. Apache-2 MIT Apache-2 Apache-2 MIT MIT equinox (π₯33 Β· β 2.2K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 59 Β· π 150 Β· π¦ 1K Β· π 500 - 33% open Β· β±οΈ 04.02.2025):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 61 Β· π 150 Β· π¦ 1K Β· π 500 - 33% open Β· β±οΈ 15.02.2025):
```
git clone https://github.com/patrick-kidger/equinox
@@ -6985,12 +7018,12 @@ _Libraries that extend Jax with additional capabilities._
evojax (π₯19 Β· β 870 Β· π€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
-- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 95 Β· π¦ 27 Β· π 37 - 54% open Β· β±οΈ 27.06.2024):
+- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 97 Β· π¦ 27 Β· π 37 - 54% open Β· β±οΈ 27.06.2024):
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 1.6K / 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
```
@@ -7018,7 +7051,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
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₯ 680K / month Β· π¦ 200 Β· β±οΈ 26.01.2025):
```
pip install mlxtend
```
@@ -7029,16 +7062,16 @@ _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» 84 Β· π 180 Β· π¦ 13K Β· π 250 - 20% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (π¨βπ» 84 Β· π 180 Β· π¦ 13K Β· π 250 - 21% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 67K / month Β· π¦ 55 Β· β±οΈ 16.01.2025):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 69K / month Β· π¦ 59 Β· β±οΈ 18.02.2025):
```
pip install scikit-learn-intelex
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 450K Β· β±οΈ 13.02.2025):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (π₯ 460K Β· β±οΈ 13.02.2025):
```
conda install -c conda-forge scikit-learn-intelex
```
@@ -7050,11 +7083,11 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 14M / month Β· π¦ 480 Β· β±οΈ 20.12.2024):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 13M / month Β· π¦ 480 Β· β±οΈ 20.12.2024):
```
pip install imbalanced-learn
```
-- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 660K Β· β±οΈ 20.12.2024):
+- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 670K Β· β±οΈ 20.12.2024):
```
conda install -c conda-forge imbalanced-learn
```
@@ -7066,7 +7099,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.5M / month Β· π¦ 300 Β· β±οΈ 19.01.2025):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.6M / month Β· π¦ 300 Β· β±οΈ 19.01.2025):
```
pip install category_encoders
```
@@ -7082,7 +7115,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 25K / month Β· π¦ 13 Β· β±οΈ 17.12.2024):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 23K / month Β· π¦ 13 Β· β±οΈ 17.12.2024):
```
pip install scikit-lego
```
@@ -7098,7 +7131,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 3.9K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 4.4K / month Β· π¦ 15 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
@@ -7110,7 +7143,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/trent-b/iterative-stratification
```
-- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 22K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
+- [PyPi](https://pypi.org/project/iterative-stratification) (π₯ 21K / month Β· π¦ 15 Β· β±οΈ 12.10.2024):
```
pip install iterative-stratification
```
@@ -7122,7 +7155,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/amueller/dabl
```
-- [PyPi](https://pypi.org/project/dabl) (π₯ 5.5K / month Β· π¦ 3 Β· β±οΈ 16.12.2024):
+- [PyPi](https://pypi.org/project/dabl) (π₯ 4.5K / month Β· π¦ 3 Β· β±οΈ 16.12.2024):
```
pip install dabl
```
@@ -7134,7 +7167,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.4K / month Β· β±οΈ 19.07.2024):
+- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 1.5K / month Β· β±οΈ 19.07.2024):
```
pip install scikit-tda
```
@@ -7146,7 +7179,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 2.8K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 2.6K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
```
pip install deslib
```
@@ -7171,18 +7204,18 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-accelerate (π₯41 Β· β 8.3K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
+accelerate (π₯41 Β· β 8.4K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 320 Β· π 1K Β· π¦ 71K Β· π 1.7K - 7% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 320 Β· π 1K Β· π¦ 72K Β· π 1.7K - 6% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (π₯ 9.2M / month Β· π¦ 1.8K Β· β±οΈ 17.01.2025):
+- [PyPi](https://pypi.org/project/accelerate) (π₯ 9.3M / month Β· π¦ 1.9K Β· β±οΈ 17.02.2025):
```
pip install accelerate
```
-- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 300K Β· β±οΈ 20.01.2025):
+- [Conda](https://anaconda.org/conda-forge/accelerate) (π₯ 300K Β· β±οΈ 18.02.2025):
```
conda install -c conda-forge accelerate
```
@@ -7194,7 +7227,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 660K / month Β· π¦ 55 Β· β±οΈ 11.12.2024):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 600K / month Β· π¦ 55 Β· β±οΈ 11.12.2024):
```
pip install pytorch-metric-learning
```
@@ -7205,20 +7238,20 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (π₯33 Β· β 28K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 370 Β· π 3.1K Β· π¦ 160 Β· π 860 - 16% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 380 Β· π 3.1K Β· π¦ 160 Β· π 860 - 15% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/geohot/tinygrad
```
torchdiffeq (π₯30 Β· β 5.8K) - Differentiable ODE solvers with full GPU support and.. MIT
+torchdiffeq (π₯32 Β· β 5.8K Β· π) - Differentiable ODE solvers with full GPU support and.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 930 Β· π¦ 4.5K Β· π 220 - 33% open Β· β±οΈ 21.11.2024):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 22 Β· π 930 Β· π¦ 4.5K Β· π 220 - 33% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/rtqichen/torchdiffeq
```
-- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 880K / month Β· π¦ 120 Β· β±οΈ 21.11.2024):
+- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 870K / month Β· π¦ 120 Β· β±οΈ 21.11.2024):
```
pip install torchdiffeq
```
@@ -7243,18 +7276,6 @@ _Libraries that extend Pytorch with additional capabilities._
conda install -c conda-forge torchsde
```
Pytorch Toolbelt (π₯26 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 06.02.2025):
-
- ```
- git clone https://github.com/BloodAxe/pytorch-toolbelt
- ```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 11K / month Β· π¦ 12 Β· β±οΈ 21.11.2024):
- ```
- pip install pytorch_toolbelt
- ```
-torch-scatter (π₯25 Β· β 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 32 Β· π 180 Β· π 400 - 6% open Β· β±οΈ 10.01.2025):
@@ -7262,11 +7283,11 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 40K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 43K / month Β· π¦ 150 Β· β±οΈ 06.10.2023):
```
pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 740K Β· β±οΈ 13.02.2025):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 750K Β· β±οΈ 15.02.2025):
```
conda install -c conda-forge pytorch_scatter
```
@@ -7278,11 +7299,23 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rwightman/gen-efficientnet-pytorch
```
-- [PyPi](https://pypi.org/project/geffnet) (π₯ 150K / month Β· π¦ 4 Β· β±οΈ 08.07.2021):
+- [PyPi](https://pypi.org/project/geffnet) (π₯ 140K / month Β· π¦ 4 Β· β±οΈ 08.07.2021):
```
pip install geffnet
```
Pytorch Toolbelt (π₯25 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 06.02.2025):
+
+ ```
+ git clone https://github.com/BloodAxe/pytorch-toolbelt
+ ```
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 12K / month Β· π¦ 12 Β· β±οΈ 21.11.2024):
+ ```
+ pip install pytorch_toolbelt
+ ```
+PyTorch Sparse (π₯24 Β· β 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT
- [GitHub](https://github.com/rusty1s/pytorch_sparse) (π¨βπ» 46 Β· π 150 Β· π 290 - 10% open Β· β±οΈ 10.01.2025):
@@ -7290,18 +7323,18 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/rusty1s/pytorch_sparse
```
-- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 29K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/torch-sparse) (π₯ 30K / month Β· π¦ 120 Β· β±οΈ 06.10.2023):
```
pip install torch-sparse
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 700K Β· β±οΈ 05.11.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (π₯ 710K Β· β±οΈ 16.02.2025):
```
conda install -c conda-forge pytorch_sparse
```
pytorchviz (π₯19 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¦ 2.5K Β· π 72 - 47% open Β· β±οΈ 30.12.2024):
+- [GitHub](https://github.com/szagoruyko/pytorchviz) (π¨βπ» 6 Β· π 280 Β· π¦ 2.6K Β· π 72 - 47% open Β· β±οΈ 30.12.2024):
```
git clone https://github.com/szagoruyko/pytorchviz
@@ -7314,7 +7347,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/facebookresearch/madgrad
```
-- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.3K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
+- [PyPi](https://pypi.org/project/madgrad) (π₯ 3.2K / month Β· π¦ 1 Β· β±οΈ 08.03.2022):
```
pip install madgrad
```
@@ -7361,63 +7394,63 @@ _Libraries for connecting to, operating, and querying databases._
scipy (π₯50 Β· β 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.7K Β· π 5.2K Β· π₯ 460K Β· π¦ 1.2M Β· π 11K - 15% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.7K Β· π 5.3K Β· π₯ 460K Β· π¦ 1.2M Β· π 11K - 15% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 130M / month Β· π¦ 49K Β· β±οΈ 10.01.2025):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 130M / month Β· π¦ 51K Β· β±οΈ 17.02.2025):
```
pip install scipy
```
-- [Conda](https://anaconda.org/conda-forge/scipy) (π₯ 58M Β· β±οΈ 11.01.2025):
+- [Conda](https://anaconda.org/conda-forge/scipy) (π₯ 58M Β· β±οΈ 17.02.2025):
```
conda install -c conda-forge scipy
```
SymPy (π₯49 Β· β 13K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.4K Β· π 4.5K Β· π₯ 550K Β· π¦ 220K Β· π 14K - 36% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.4K Β· π 4.6K Β· π₯ 560K Β· π¦ 220K Β· π 14K - 36% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/sympy/sympy
```
-- [PyPi](https://pypi.org/project/sympy) (π₯ 35M / month Β· π¦ 3.5K Β· β±οΈ 18.09.2024):
+- [PyPi](https://pypi.org/project/sympy) (π₯ 35M / month Β· π¦ 4K Β· β±οΈ 18.09.2024):
```
pip install sympy
```
-- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 7.8M Β· β±οΈ 07.01.2025):
+- [Conda](https://anaconda.org/conda-forge/sympy) (π₯ 7.9M Β· β±οΈ 07.01.2025):
```
conda install -c conda-forge sympy
```
Streamlit (π₯46 Β· β 37K) - Streamlit A faster way to build and share data apps. Apache-2
+Streamlit (π₯46 Β· β 38K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 310 Β· π 3.2K Β· π¦ 710K Β· π 4.9K - 20% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 320 Β· π 3.2K Β· π¦ 720K Β· π 4.9K - 21% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 7.2M / month Β· π¦ 3.2K Β· β±οΈ 04.02.2025):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 7.4M / month Β· π¦ 3.3K Β· β±οΈ 17.02.2025):
```
pip install streamlit
```
Gradio (π₯44 Β· β 36K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 500 Β· π 2.7K Β· π¦ 56K Β· π 5.3K - 8% open Β· β±οΈ 12.02.2025):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 510 Β· π 2.7K Β· π¦ 57K Β· π 5.4K - 8% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 6.9M / month Β· π¦ 1K Β· β±οΈ 12.02.2025):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 6.9M / month Β· π¦ 1K Β· β±οΈ 19.02.2025):
```
pip install gradio
```
carla (π₯38 Β· β 12K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 180 Β· π 3.7K Β· π¦ 930 Β· π 5.8K - 19% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 180 Β· π 3.7K Β· π¦ 930 Β· π 5.8K - 18% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/carla-simulator/carla
@@ -7427,41 +7460,41 @@ _Libraries for connecting to, operating, and querying databases._
pip install carla
```
PennyLane (π₯37 Β· β 2.5K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
+PyOD (π₯37 Β· β 8.9K Β· π) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 190 Β· π 620 Β· π₯ 100 Β· π¦ 1.3K Β· π 1.5K - 22% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 62 Β· π 1.4K Β· π¦ 4.8K Β· π 370 - 60% open Β· β±οΈ 22.12.2024):
```
- git clone https://github.com/PennyLaneAI/PennyLane
+ git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 75K / month Β· π¦ 120 Β· β±οΈ 14.01.2025):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 590K / month Β· π¦ 120 Β· β±οΈ 22.12.2024):
```
- pip install pennylane
+ pip install pyod
```
-- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 240K Β· β±οΈ 09.07.2024):
+- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 140K Β· β±οΈ 06.09.2024):
```
- conda install -c conda-forge pennylane
+ conda install -c conda-forge pyod
```
PyOD (π₯36 Β· β 8.8K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2
+PennyLane (π₯37 Β· β 2.5K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 62 Β· π 1.4K Β· π¦ 4.7K Β· π 370 - 60% open Β· β±οΈ 22.12.2024):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 190 Β· π 620 Β· π₯ 100 Β· π¦ 1.3K Β· π 1.5K - 22% open Β· β±οΈ 20.02.2025):
```
- git clone https://github.com/yzhao062/pyod
+ git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 610K / month Β· π¦ 120 Β· β±οΈ 22.12.2024):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 74K / month Β· π¦ 120 Β· β±οΈ 14.01.2025):
```
- pip install pyod
+ pip install pennylane
```
-- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 140K Β· β±οΈ 06.09.2024):
+- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 240K Β· β±οΈ 09.07.2024):
```
- conda install -c conda-forge pyod
+ conda install -c conda-forge pennylane
```
Autograd (π₯36 Β· β 7.1K) - Efficiently computes derivatives of NumPy code. MIT
+Autograd (π₯36 Β· β 7.1K) - Efficiently computes derivatives of NumPy code. MIT
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 60 Β· π 910 Β· π¦ 11K Β· π 430 - 41% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 60 Β· π 910 Β· π¦ 11K Β· π 430 - 41% open Β· β±οΈ 17.02.2025):
```
git clone https://github.com/HIPS/autograd
@@ -7477,7 +7510,7 @@ _Libraries for connecting to, operating, and querying databases._
Datasette (π₯35 Β· β 9.8K) - An open source multi-tool for exploring and publishing data. Apache-2
-- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 81 Β· π 700 Β· π₯ 70 Β· π¦ 1.4K Β· π 1.9K - 32% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/simonw/datasette) (π¨βπ» 81 Β· π 700 Β· π₯ 70 Β· π¦ 1.4K Β· π 1.9K - 32% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/simonw/datasette
@@ -7486,7 +7519,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 54K Β· β±οΈ 30.11.2024):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 55K Β· β±οΈ 30.11.2024):
```
conda install -c conda-forge datasette
```
@@ -7502,19 +7535,19 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install agate
```
-- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 290K Β· β±οΈ 29.01.2025):
+- [Conda](https://anaconda.org/conda-forge/agate) (π₯ 300K Β· β±οΈ 29.01.2025):
```
conda install -c conda-forge agate
```
DeepChem (π₯34 Β· β 5.7K Β· π) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT
+DeepChem (π₯34 Β· β 5.8K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 260 Β· π 1.7K Β· π¦ 510 Β· π 1.9K - 35% open Β· β±οΈ 10.02.2025):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 260 Β· π 1.7K Β· π¦ 520 Β· π 1.9K - 35% open Β· β±οΈ 10.02.2025):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 46K / month Β· π¦ 16 Β· β±οΈ 10.02.2025):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 33K / month Β· π¦ 16 Β· β±οΈ 10.02.2025):
```
pip install deepchem
```
@@ -7530,7 +7563,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 630K / month Β· π¦ 350 Β· β±οΈ 18.11.2024):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 610K / month Β· π¦ 350 Β· β±οΈ 18.11.2024):
```
pip install hdbscan
```
@@ -7546,11 +7579,11 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 330K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 320K / month Β· π¦ 21 Β· β±οΈ 31.10.2024):
```
pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 1M Β· β±οΈ 23.11.2024):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 1.1M Β· β±οΈ 23.11.2024):
```
conda install -c conda-forge pythran
```
@@ -7562,7 +7595,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/river) (π₯ 84K / month Β· π¦ 64 Β· β±οΈ 25.11.2024):
+- [PyPi](https://pypi.org/project/river) (π₯ 83K / month Β· π¦ 64 Β· β±οΈ 25.11.2024):
```
pip install river
```
@@ -7571,14 +7604,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge river
```
tensorly (π₯32 Β· β 1.6K Β· π) - 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» 70 Β· π 290 Β· π¦ 890 Β· π 270 - 21% open Β· β±οΈ 31.01.2025):
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 70 Β· π 290 Β· π¦ 910 Β· π 270 - 21% open Β· β±οΈ 31.01.2025):
```
git clone https://github.com/tensorly/tensorly
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 57K / month Β· π¦ 99 Β· β±οΈ 12.11.2024):
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 60K / month Β· π¦ 99 Β· β±οΈ 12.11.2024):
```
pip install tensorly
```
@@ -7589,12 +7622,12 @@ _Libraries for connecting to, operating, and querying databases._
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¦ 840 Β· π 570 - 19% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 850 Β· π 570 - 19% open Β· β±οΈ 06.02.2025):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
-- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 94K / month Β· π¦ 36 Β· β±οΈ 04.12.2024):
+- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 97K / month Β· π¦ 36 Β· β±οΈ 04.12.2024):
```
pip install pyjanitor
```
@@ -7610,7 +7643,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/PaddlePaddle/PaddleHub
```
-- [PyPi](https://pypi.org/project/paddlehub) (π₯ 5K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
+- [PyPi](https://pypi.org/project/paddlehub) (π₯ 4.7K / month Β· π¦ 7 Β· β±οΈ 20.09.2023):
```
pip install paddlehub
```
@@ -7622,7 +7655,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/datalad/datalad
```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 17K / month Β· π¦ 99 Β· β±οΈ 15.12.2024):
+- [PyPi](https://pypi.org/project/datalad) (π₯ 15K / month Β· π¦ 99 Β· β±οΈ 15.12.2024):
```
pip install datalad
```
@@ -7631,25 +7664,25 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge datalad
```
pyopencl (π₯30 Β· β 1.1K Β· π) - OpenCL integration for Python, plus shiny features. MIT
+pyopencl (π₯30 Β· β 1.1K) - OpenCL integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 97 Β· π 240 Β· π¦ 2.1K Β· π 360 - 21% open Β· β±οΈ 05.02.2025):
+- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 98 Β· π 240 Β· π¦ 2.2K Β· π 360 - 21% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 91K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 82K / month Β· π¦ 180 Β· β±οΈ 22.01.2025):
```
pip install pyopencl
```
-- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 1.6M Β· β±οΈ 22.01.2025):
+- [Conda](https://anaconda.org/conda-forge/pyopencl) (π₯ 1.7M Β· β±οΈ 22.01.2025):
```
conda install -c conda-forge pyopencl
```
causalml (π₯29 Β· β 5.2K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 64 Β· π 780 Β· π¦ 250 Β· π 400 - 13% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 64 Β· π 780 Β· π¦ 250 Β· π 400 - 13% open Β· β±οΈ 19.02.2025):
```
git clone https://github.com/uber/causalml
@@ -7659,33 +7692,33 @@ _Libraries for connecting to, operating, and querying databases._
pip install causalml
```
anomalib (π₯29 Β· β 4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
+anomalib (π₯29 Β· β 4.1K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 83 Β· π 700 Β· π₯ 18K Β· π¦ 130 Β· π 970 - 15% open Β· β±οΈ 11.02.2025):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 83 Β· π 700 Β· π₯ 18K Β· π¦ 140 Β· π 980 - 14% open Β· β±οΈ 14.02.2025):
```
git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 27K / month Β· π¦ 5 Β· β±οΈ 09.01.2025):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 29K / month Β· π¦ 5 Β· β±οΈ 18.02.2025):
```
pip install anomalib
```
dstack (π₯29 Β· β 1.7K Β· π) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0
+dstack (π₯29 Β· β 1.7K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 49 Β· π 170 Β· π¦ 18 Β· π 1.2K - 8% open Β· β±οΈ 13.02.2025):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 50 Β· π 170 Β· π¦ 18 Β· π 1.2K - 9% open Β· β±οΈ 20.02.2025):
```
git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 7.6K / month Β· β±οΈ 13.02.2025):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 4.5K / month Β· β±οΈ 17.02.2025):
```
pip install dstack
```
Prince (π₯29 Β· β 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
-- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 660 Β· β±οΈ 05.01.2025):
+- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 670 Β· β±οΈ 05.01.2025):
```
git clone https://github.com/MaxHalford/prince
@@ -7701,35 +7734,19 @@ _Libraries for connecting to, operating, and querying databases._
Trax (π₯28 Β· β 8.2K) - Trax Deep Learning with Clear Code and Speed. Apache-2
-- [GitHub](https://github.com/google/trax) (π¨βπ» 80 Β· π 820 Β· π¦ 210 Β· π 250 - 49% open Β· β±οΈ 07.02.2025):
+- [GitHub](https://github.com/google/trax) (π¨βπ» 80 Β· π 820 Β· π¦ 220 Β· π 250 - 49% open Β· β±οΈ 07.02.2025):
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 4.2K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (π₯ 4K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
pip install trax
```
TabPy (π₯28 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¦ 190 Β· π 320 - 6% open Β· β±οΈ 25.11.2024):
-
- ```
- git clone https://github.com/tableau/TabPy
- ```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 6.5K / month Β· π¦ 2 Β· β±οΈ 25.11.2024):
- ```
- pip install tabpy
- ```
-- [Conda](https://anaconda.org/anaconda/tabpy-client) (π₯ 4.9K Β· β±οΈ 16.06.2023):
- ```
- conda install -c anaconda tabpy-client
- ```
-adapter-transformers (π₯27 Β· β 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
+adapter-transformers (π₯27 Β· β 2.7K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 15 Β· π 360 Β· π¦ 160 Β· π 400 - 11% open Β· β±οΈ 28.01.2025):
+- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 16 Β· π 360 Β· π¦ 170 Β· π 400 - 10% open Β· β±οΈ 13.02.2025):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
@@ -7741,12 +7758,12 @@ _Libraries for connecting to, operating, and querying databases._
avalanche (π₯27 Β· β 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
-- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 81 Β· π 300 Β· π₯ 48 Β· π¦ 120 Β· π 820 - 12% open Β· β±οΈ 29.10.2024):
+- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 81 Β· π 300 Β· π₯ 50 Β· π¦ 120 Β· π 820 - 12% open Β· β±οΈ 29.10.2024):
```
git clone https://github.com/ContinualAI/avalanche
```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.5K / month Β· π¦ 3 Β· β±οΈ 29.10.2024):
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 1.4K / month Β· π¦ 3 Β· β±οΈ 29.10.2024):
```
pip install avalanche-lib
```
@@ -7758,7 +7775,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/sepandhaghighi/pycm
```
-- [PyPi](https://pypi.org/project/pycm) (π₯ 41K / month Β· π¦ 24 Β· β±οΈ 14.01.2025):
+- [PyPi](https://pypi.org/project/pycm) (π₯ 39K / month Β· π¦ 24 Β· β±οΈ 14.01.2025):
```
pip install pycm
```
@@ -7770,7 +7787,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/annoviko/pyclustering
```
-- [PyPi](https://pypi.org/project/pyclustering) (π₯ 36K / month Β· π¦ 32 Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/pyclustering) (π₯ 33K / month Β· π¦ 32 Β· β±οΈ 25.11.2020):
```
pip install pyclustering
```
@@ -7779,6 +7796,22 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pyclustering
```
TabPy (π₯26 Β· β 1.6K Β· π) - Execute Python code on the fly and display results in Tableau.. MIT
+
+- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 51 Β· π 600 Β· π¦ 190 Β· π 320 - 6% open Β· β±οΈ 25.11.2024):
+
+ ```
+ git clone https://github.com/tableau/TabPy
+ ```
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 7.1K / month Β· π¦ 2 Β· β±οΈ 25.11.2024):
+ ```
+ pip install tabpy
+ ```
+- [Conda](https://anaconda.org/anaconda/tabpy-client) (π₯ 4.9K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c anaconda tabpy-client
+ ```
+metric-learn (π₯26 Β· β 1.4K) - Metric learning algorithms in Python. MIT
- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (π¨βπ» 23 Β· π 230 Β· π¦ 450 Β· π 170 - 30% open Β· β±οΈ 03.08.2024):
@@ -7786,7 +7819,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/scikit-learn-contrib/metric-learn
```
-- [PyPi](https://pypi.org/project/metric-learn) (π₯ 7K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
+- [PyPi](https://pypi.org/project/metric-learn) (π₯ 7.2K / month Β· π¦ 7 Β· β±οΈ 09.10.2023):
```
pip install metric-learn
```
@@ -7806,7 +7839,7 @@ _Libraries for connecting to, operating, and querying databases._
```
pip install feature_engine
```
-- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 66K Β· β±οΈ 27.01.2025):
+- [Conda](https://anaconda.org/conda-forge/feature_engine) (π₯ 67K Β· β±οΈ 27.01.2025):
```
conda install -c conda-forge feature_engine
```
@@ -7818,7 +7851,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (π₯ 3.3K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/augly) (π₯ 3.4K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
```
pip install augly
```
@@ -7830,7 +7863,7 @@ _Libraries for connecting to, operating, and querying databases._
```
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₯ 10K / month Β· π¦ 38 Β· β±οΈ 01.08.2024):
```
pip install biopandas
```
@@ -7841,12 +7874,12 @@ _Libraries for connecting to, operating, and querying databases._
MONAILabel (π₯23 Β· β 660) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 65 Β· π 200 Β· π₯ 110K Β· π 540 - 24% open Β· β±οΈ 15.01.2025):
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 66 Β· π 200 Β· π₯ 110K Β· π 540 - 24% open Β· β±οΈ 18.02.2025):
```
git clone https://github.com/Project-MONAI/MONAILabel
```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 2.4K / month Β· β±οΈ 01.10.2023):
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 1.3K / month Β· β±οΈ 01.10.2023):
```
pip install monailabel-weekly
```
@@ -7870,19 +7903,19 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 12K / month Β· π¦ 8 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/suod) (π₯ 11K / month Β· π¦ 8 Β· β±οΈ 08.02.2024):
```
pip install suod
```
pymdp (π₯20 Β· β 500) - A Python implementation of active inference for Markov Decision Processes. MIT
-- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 19 Β· π 99 Β· π¦ 17 Β· π 49 - 44% open Β· β±οΈ 06.02.2025):
+- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 19 Β· π 99 Β· π¦ 17 Β· π 50 - 46% open Β· β±οΈ 06.02.2025):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 2.6K / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 2.5K / month Β· β±οΈ 08.12.2022):
```
pip install inferactively-pymdp
```
@@ -7894,7 +7927,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 370 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 240 / month Β· β±οΈ 12.04.2022):
```
pip install pykale
```
@@ -7906,7 +7939,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 250 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 240 / month Β· β±οΈ 03.10.2023):
```
pip install neuralcompression
```
@@ -7924,7 +7957,7 @@ _Libraries for connecting to, operating, and querying databases._
- metricflow (π₯26 Β· β 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
- minisom (π₯25 Β· β 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. βοΈCC-BY-3.0
- findspark (π₯25 Β· β 520 Β· π) - Find pyspark to make it importable. BSD-3 βUnlicensed
+- pandas-ai (π₯24 Β· β 15K) - Chat with your database or your datalake (SQL, CSV, parquet)... βUnlicensed
- Mars (π₯24 Β· β 2.7K Β· π) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
- AstroML (π₯23 Β· β 1.1K Β· π) - Machine learning, statistics, and data mining for astronomy.. BSD-2 MIT
diff --git a/history/2025-02-20_changes.md b/history/2025-02-20_changes.md
new file mode 100644
index 00000000..ebaedcbb
--- /dev/null
+++ b/history/2025-02-20_changes.md
@@ -0,0 +1,30 @@
+## 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._
+
+- nltk (π₯45 Β· β 14K Β· π) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+- LightGBM (π₯43 Β· β 17K Β· π) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT
+- PyTorch Geometric (π₯41 Β· β 22K Β· π) - Graph Neural Network Library for PyTorch. MIT MIT
+- OCRmyPDF (π₯38 Β· β 18K Β· π) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing.. MPL-2.0
+- PyOD (π₯37 Β· β 8.9K Β· π) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2
+- haystack (π₯36 Β· β 19K Β· π) - AI orchestration framework to build customizable, production-.. Apache-2
+- torchdiffeq (π₯32 Β· β 5.8K Β· π) - Differentiable ODE solvers with full GPU support and.. MIT Apache-2 MIT MIT
+- Altair (π₯42 Β· β 9.6K Β· π) - Declarative visualization library for Python. BSD-3
+- SageMaker SDK (π₯40 Β· β 2.1K Β· π) - A library for training and deploying machine learning.. Apache-2 BSD-2
+- PySyft (π₯36 Β· β 9.6K Β· π) - Perform data science on data that remains in someone elses.. Apache-2 MIT
+- Fiona (π₯35 Β· β 1.2K Β· π) - Fiona reads and writes geographic data files. BSD-3
+- NIPYPE (π₯35 Β· β 760 Β· π) - Workflows and interfaces for neuroimaging packages. Apache-2
+- DEAP (π₯34 Β· β 6K Β· π) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
+- TabPy (π₯26 Β· β 1.6K Β· π) - Execute Python code on the fly and display results in Tableau.. MIT
+
diff --git a/history/2025-02-20_projects.csv b/history/2025-02-20_projects.csv
new file mode 100644
index 00000000..2b7ad20c
--- /dev/null
+++ b/history/2025-02-20_projects.csv
@@ -0,0 +1,922 @@
+,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,helm_id,updated_github_id,trending,brew_id,apt_id,yum_id,conda_dependent_project_count,dnf_id,yay_id,snap_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count
+0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2025-01-22 11:36:03.000000,2025-01-22 11:36:03,1575.0,7.0,739.0,118.0,347.0,71.0,154.0,5107.0,Benchmarks of approximate nearest neighbor libraries in Python.,111.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,185.0,58.0,205.0,,3.0,2451.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,97.0,199.0,7.0,6.0,3835.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,97.0,199.0,7.0,6.0,3835.0,Collection of database clients for python.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,97.0,199.0,7.0,6.0,3835.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,97.0,199.0,7.0,6.0,3835.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2025-02-20 14:15:35.000000,2025-02-20 14:07:38,176263.0,3703.0,74536.0,7532.0,45456.0,7125.0,39437.0,190814.0,An Open Source Machine Learning Framework for Everyone.,4800.0,55,True,2024-10-25 00:14:11.000,2.18.0,204.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],476300.0,467901.0,https://pypi.org/project/tensorflow,2025-01-26 16:09:54.000,8399.0,19636462.0,20446490.0,https://anaconda.org/conda-forge/tensorflow,2025-02-10 00:44:21.123,5337621.0,https://hub.docker.com/r/tensorflow/tensorflow,2025-02-20 13:48:36.230713,2695.0,79140956.0,1.0,,,,,,,,,,,,,,,,,,,,
+7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2025-02-20 14:09:11.000000,2025-02-20 13:55:42,84585.0,3236.0,23233.0,1767.0,98132.0,15553.0,34453.0,87049.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5410.0,55,True,2025-01-29 17:18:54.000,2.6.0,58.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],671885.0,649767.0,https://pypi.org/project/torch,2025-01-29 16:17:26.000,22118.0,40256148.0,40887257.0,https://anaconda.org/pytorch/pytorch,2024-10-28 23:02:38.194,25844770.0,,,,,1.0,75740.0,,,,,,,,,,,,,,,,,,,
+8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2025-02-20 07:16:31.000000,2025-02-19 12:25:07,32184.0,251.0,25536.0,2145.0,18395.0,2103.0,9826.0,61172.0,scikit-learn: machine learning in Python.,3261.0,53,True,2025-01-10 10:51:11.000,1.6.1,84.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1095429.0,1068528.0,https://pypi.org/project/scikit-learn,2025-01-10 08:05:56.000,26901.0,77200930.0,77798769.0,https://anaconda.org/conda-forge/scikit-learn,2025-01-10 08:41:17.222,34076354.0,,,,,1.0,1041.0,,,,,,,,,,,,,,,,,,,
+9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2025-02-20 14:13:48.000000,2025-02-20 14:13:48,18098.0,676.0,27978.0,1141.0,19087.0,1531.0,15692.0,139798.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",3077.0,52,True,2025-02-20 14:08:37.000,4.49.0-SmolVLM-2,171.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",299208.0,291541.0,https://pypi.org/project/transformers,2025-02-17 15:18:58.000,7667.0,44717998.0,44763546.0,https://anaconda.org/conda-forge/transformers,2025-02-17 21:07:47.741,2505165.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2025-02-20 12:09:36.000000,2025-02-20 12:09:36,34658.0,672.0,5257.0,350.0,11905.0,1708.0,9195.0,13381.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1747.0,50,True,2025-02-17 01:57:38.000,1.15.2,113.0,scipy,conda-forge/scipy,,,,1283962.0,1233456.0,https://pypi.org/project/scipy,2025-02-17 00:28:56.000,50506.0,126145396.0,127288864.0,https://anaconda.org/conda-forge/scipy,2025-02-17 15:24:02.424,58111662.0,,,,,1.0,462864.0,,,,,,,,,,,,,,,,,,,
+11,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2025-02-19 07:48:22.000000,2025-02-19 07:48:19,51977.0,486.0,7684.0,591.0,18894.0,1601.0,9492.0,20768.0,matplotlib: plotting with Python.,1777.0,49,True,2024-12-14 06:30:36.000,3.10.0,131.0,matplotlib,conda-forge/matplotlib,,,,1611615.0,1558632.0,https://pypi.org/project/matplotlib,2024-12-14 06:30:36.000,52983.0,72135691.0,72640989.0,https://anaconda.org/conda-forge/matplotlib,2024-12-16 20:44:59.565,28296712.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+12,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2025-02-19 13:55:26.000000,2025-02-19 13:55:26,59516.0,292.0,4563.0,292.0,13699.0,5238.0,9002.0,13310.0,A computer algebra system written in pure Python.,1353.0,49,True,2024-09-18 21:54:45.000,1.13.3,64.0,sympy,conda-forge/sympy,,,,226681.0,222673.0,https://pypi.org/project/sympy,2024-09-18 21:54:23.000,4008.0,35319136.0,35461501.0,https://anaconda.org/conda-forge/sympy,2025-01-07 11:14:01.011,7887235.0,,,,,1.0,555038.0,,,,,,,,,,,,,,,,,,,
+13,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2025-02-20 02:44:01.000000,2025-02-20 02:44:01,11359.0,202.0,19521.0,1912.0,7826.0,255.0,12128.0,62585.0,Deep Learning for humans.,1372.0,48,True,2025-01-07 18:27:26.000,3.8.0,105.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1698.0,,https://pypi.org/project/keras,2025-01-07 18:27:14.000,1698.0,13036032.0,13106490.0,https://anaconda.org/conda-forge/keras,2025-01-10 19:55:24.082,3945701.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2025-02-19 10:39:25.000000,2025-02-19 10:39:25,19228.0,353.0,2252.0,219.0,5328.0,123.0,3167.0,12563.0,Python Imaging Library (Fork).,484.0,48,True,2025-01-02 08:20:18.000,11.1.0,100.0,Pillow,conda-forge/pillow,,,,2079600.0,2068689.0,https://pypi.org/project/Pillow,2025-01-02 08:10:16.000,10911.0,125777276.0,126687575.0,https://anaconda.org/conda-forge/pillow,2025-01-03 20:03:34.476,50066463.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+15,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2025-02-20 14:23:37.000000,2025-02-20 14:23:37,24054.0,940.0,6025.0,482.0,30968.0,4411.0,15754.0,35535.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1161.0,47,True,2025-02-11 22:21:54.000,ray-2.42.1,123.0,ray,conda-forge/ray-tune,,,,21995.0,21114.0,https://pypi.org/project/ray,2025-02-11 21:13:19.000,881.0,5943602.0,5957273.0,https://anaconda.org/conda-forge/ray-tune,2025-02-15 03:07:19.856,683486.0,,,,,1.0,248.0,,,,,,,,,,,,,,,,,,,
+16,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2025-02-20 14:03:08.000000,2025-02-20 11:16:02,7109.0,267.0,3244.0,328.0,5522.0,1031.0,3874.0,37614.0,Streamlit A faster way to build and share data apps.,317.0,46,True,2025-02-17 21:21:02.000,1.42.1,236.0,streamlit,,,,,722229.0,718927.0,https://pypi.org/project/streamlit,2025-02-17 21:20:50.000,3302.0,7399753.0,7399753.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+17,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2025-02-20 00:20:35.000000,2025-02-19 15:49:37,7560.0,237.0,2595.0,277.0,1816.0,625.0,2508.0,16749.0,The interactive graphing library for Python.,282.0,46,True,2025-01-28 19:45:30.000,6.0.0,302.0,plotly,conda-forge/plotly,,,,373927.0,366603.0,https://pypi.org/project/plotly,2025-01-28 19:33:47.000,7315.0,19486451.0,19701465.0,https://anaconda.org/conda-forge/plotly,2025-01-31 01:47:40.544,8385676.0,,,,,1.0,40.0,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,67897.0,,,,,,,,,,,,,,
+18,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2025-02-20 13:23:07.000000,2025-02-20 13:22:16,43714.0,874.0,28412.0,2016.0,49985.0,243.0,,40570.0,Apache Spark Python API.,3188.0,45,True,2024-12-20 14:34:41.000,3.5.4,50.0,pyspark,conda-forge/pyspark,,,['spark'],1654.0,,https://pypi.org/project/pyspark,2024-12-20 14:34:41.000,1654.0,31959250.0,32025340.0,https://anaconda.org/conda-forge/pyspark,2024-12-21 08:33:41.806,3701041.0,,,,,1.0,,,,,,,stable/spark,,,,,,,,,,,,,
+19,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2025-02-20 14:02:02.000000,2025-02-20 11:34:23,25771.0,1473.0,2853.0,334.0,17633.0,1496.0,4476.0,31348.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",834.0,45,True,2025-01-17 18:27:26.000,jax-v0.5.0,173.0,jax,conda-forge/jaxlib,,,,39597.0,37454.0,https://pypi.org/project/jax,2025-01-17 17:40:30.000,2143.0,6709042.0,6750337.0,https://anaconda.org/conda-forge/jaxlib,2025-01-06 04:26:25.655,2312549.0,,,,,1.0,,,,,,,,jax-ml/jax,,,,,,,,,,,,
+20,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2025-02-20 07:06:50.000000,2025-02-20 07:06:50,7342.0,145.0,8740.0,909.0,5853.0,456.0,5023.0,26608.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",657.0,45,True,2025-02-06 18:23:31.000,2.1.4,86.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,134442.0,132186.0,https://pypi.org/project/xgboost,2025-02-06 18:16:59.000,2256.0,22892700.0,22999180.0,https://anaconda.org/conda-forge/xgboost,2025-02-07 00:07:26.580,5850662.0,,,,,1.0,13807.0,,,,,,,,,,,,,,,,,,,
+21,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2025-02-20 12:56:02.000000,2025-02-20 12:56:02,52896.0,1115.0,5668.0,714.0,52403.0,1754.0,17588.0,22485.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1348.0,45,True,2024-09-13 08:31:46.000,2.6.2,73.0,paddlepaddle,,,,['paddle'],7271.0,7059.0,https://pypi.org/project/paddlepaddle,2025-01-23 03:28:11.000,212.0,317125.0,317276.0,,,,,,,,1.0,15428.0,,,,,,,,,,,,,,,,,,,
+22,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2025-02-19 16:27:51.000000,2025-02-18 19:34:07,20713.0,73.0,4206.0,437.0,6282.0,796.0,7084.0,19617.0,"Interactive Data Visualization in the browser, from Python.",709.0,45,True,2025-02-05 17:52:27.000,3.6.3,230.0,bokeh,conda-forge/bokeh,,,,99973.0,98107.0,https://pypi.org/project/bokeh,2025-02-13 18:53:19.000,1866.0,3981674.0,4265780.0,https://anaconda.org/conda-forge/bokeh,2025-02-06 12:06:49.451,15909946.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+23,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2025-02-19 17:12:53.000000,2025-02-19 17:12:53,7909.0,79.0,3253.0,281.0,4024.0,344.0,3065.0,15418.0,Network Analysis in Python.,760.0,45,True,2024-10-21 12:40:41.000,networkx-3.4.2,98.0,networkx,conda-forge/networkx,,,,364123.0,354493.0,https://pypi.org/project/networkx,2024-10-21 12:39:36.000,9630.0,68992622.0,69368766.0,https://anaconda.org/conda-forge/networkx,2024-12-25 14:22:43.959,20311807.0,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,,
+24,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2025-02-20 05:28:58.000000,2025-02-20 05:28:58,14714.0,18.0,2887.0,461.0,1505.0,276.0,1578.0,13868.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,469.0,45,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,355278.0,350581.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,4697.0,25417410.0,25481599.0,https://anaconda.org/conda-forge/nltk,2024-12-16 00:47:34.151,3016926.0,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,
+25,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2025-02-19 12:26:31.000000,2025-02-19 12:26:31,15662.0,73.0,3091.0,288.0,3984.0,2851.0,2820.0,10436.0,Statsmodels: statistical modeling and econometrics in Python.,451.0,45,True,2024-10-03 16:13:31.000,0.14.4,39.0,statsmodels,conda-forge/statsmodels,,,,158639.0,154170.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,16002986.0,16311306.0,https://anaconda.org/conda-forge/statsmodels,2024-10-03 20:40:26.151,17265932.0,,,,,1.0,35.0,,,,,,,,,,,,,,,,,,,
+26,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2025-02-20 05:59:16.000000,2025-02-19 23:42:05,7475.0,252.0,2729.0,180.0,4885.0,465.0,4898.0,36216.0,"Wrap UIs around any model, share with anyone.",508.0,44,True,2025-02-19 20:05:11.000,5.16.2,622.0,gradio,,,,,58290.0,57254.0,https://pypi.org/project/gradio,2025-02-19 20:05:11.000,1036.0,6947034.0,6947034.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+27,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2025-02-03 17:32:33.000000,2025-02-03 17:32:23,16225.0,12.0,4443.0,563.0,4036.0,182.0,5524.0,30954.0,Industrial-strength Natural Language Processing (NLP) in Python.,763.0,44,True,2025-01-14 11:08:42.000,3.8.4,239.0,spacy,conda-forge/spacy,,,,118580.0,115649.0,https://pypi.org/project/spacy,2025-01-14 11:08:42.000,2931.0,11985334.0,12080734.0,https://anaconda.org/conda-forge/spacy,2024-11-24 12:28:01.906,5341401.0,,,,,1.0,1543.0,,,,,,,,,,,,,,,,,,,
+28,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2025-02-20 09:58:14.000000,2025-02-20 09:55:51,7233.0,410.0,4342.0,307.0,10267.0,1696.0,2702.0,19533.0,Open source platform for the machine learning lifecycle.,824.0,44,True,2025-02-13 13:24:22.000,2.20.2,125.0,mlflow,conda-forge/mlflow,,,,53633.0,52647.0,https://pypi.org/project/mlflow,2025-02-13 10:57:46.000,986.0,14024919.0,14077995.0,https://anaconda.org/conda-forge/mlflow,2025-02-13 21:33:32.191,2972260.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+29,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2025-02-20 06:30:19.000000,2025-02-20 06:22:32,19554.0,1137.0,2167.0,95.0,4092.0,1249.0,3406.0,17804.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",408.0,44,True,2025-02-20 06:30:19.000,1.61.11-nightly,1091.0,litellm,,,,others,8537.0,7701.0,https://pypi.org/project/litellm,2025-02-20 05:42:10.000,836.0,5599503.0,5599706.0,,,,,,,,1.0,407.0,,,,,,,,,,,,,,,,,,,
+30,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2025-02-20 11:43:06.000000,2025-02-20 11:43:06,9469.0,127.0,1742.0,214.0,6183.0,1105.0,4366.0,12952.0,Parallel computing with task scheduling.,619.0,44,True,2025-02-13 23:03:39.000,2025.2.0,216.0,dask,conda-forge/dask,,,,72948.0,70282.0,https://pypi.org/project/dask,2025-02-13 23:03:39.000,2666.0,9991735.0,10213858.0,https://anaconda.org/conda-forge/dask,2025-02-14 01:09:15.019,12661051.0,,,,,1.0,,,,,,,stable/dask,,,,,,,,,,,,,
+31,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2025-02-18 10:24:34.000000,2025-02-18 10:24:33,10509.0,54.0,3435.0,251.0,10382.0,866.0,6352.0,29015.0,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",994.0,43,True,2024-12-21 01:35:39.000,2.5.0.post0,282.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],43635.0,42099.0,https://pypi.org/project/pytorch-lightning,2024-12-21 01:36:45.000,1536.0,7535509.0,7561519.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-12-22 08:21:07.098,1441649.0,,,,,2.0,11517.0,,,,,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,
+32,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2025-02-19 23:51:55.000000,2025-02-14 21:26:12,7787.0,29.0,2108.0,426.0,1193.0,529.0,1388.0,21952.0,Data Apps & Dashboards for Python. No JavaScript Required.,170.0,43,True,2024-11-04 21:17:37.000,2.18.2,184.0,dash,conda-forge/dash,,,,79447.0,77942.0,https://pypi.org/project/dash,2025-02-18 20:27:39.000,1505.0,4738987.0,4768987.0,https://anaconda.org/conda-forge/dash,2025-01-24 13:51:51.640,1679979.0,,,,,1.0,88.0,,,,,,,,,,,,,,,,,,,
+33,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2025-02-20 09:38:01.000000,2025-02-20 09:14:18,3010.0,87.0,3700.0,437.0,3564.0,338.0,2609.0,18469.0,Open standard for machine learning interoperability.,338.0,43,True,2024-10-01 21:45:45.000,1.17.0,35.0,onnx,conda-forge/onnx,,,,41417.0,40364.0,https://pypi.org/project/onnx,2024-10-01 21:45:45.000,1053.0,5725454.0,5754512.0,https://anaconda.org/conda-forge/onnx,2024-12-31 09:55:45.556,1612662.0,,,,,1.0,23002.0,,,,,,,,,,,,,,,,,,,
+34,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2025-02-20 02:16:26.000000,2025-02-17 12:39:16,3646.0,45.0,3856.0,436.0,3344.0,402.0,3106.0,16971.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",325.0,43,True,2025-02-15 04:02:50.000,4.6.0,39.0,lightgbm,conda-forge/lightgbm,,,,46095.0,44847.0,https://pypi.org/project/lightgbm,2025-02-15 04:02:50.000,1248.0,8238776.0,8301325.0,https://anaconda.org/conda-forge/lightgbm,2025-02-19 15:41:37.440,3155653.0,,,,,2.0,282932.0,,,,,,,,2.0,,,,,,,,,,,
+35,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2025-02-20 12:35:01.000000,2025-02-20 03:21:16,3446.0,449.0,1729.0,195.0,4165.0,707.0,932.0,14518.0,Development repository for the Triton language and compiler.,369.0,43,True,2025-01-22 19:12:21.000,3.2.0,197.0,triton,,,,,54064.0,53728.0,https://pypi.org/project/triton,2025-01-22 19:12:21.000,336.0,19401268.0,19401268.0,,,,,,,,1.0,,,,,,,,triton-lang/triton,,,,,,,,,,,,
+36,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2025-02-20 08:19:57.000000,2025-02-20 08:19:57,5103.0,85.0,2109.0,1667.0,4988.0,375.0,2765.0,12498.0,WebGL2 powered visualization framework.,282.0,43,True,2025-02-17 15:44:20.754,9.1.2,685.0,pydeck,conda-forge/pydeck,,,['jupyter'],9118.0,8683.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,120.0,6357271.0,6910251.0,https://anaconda.org/conda-forge/pydeck,2025-01-31 18:06:48.129,695896.0,,,,,1.0,,deck.gl,https://www.npmjs.com/package/deck.gl,2025-02-17 15:44:20.754,315.0,540328.0,,,,,,,,,,,,,,
+37,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2025-02-19 09:24:15.000000,2025-02-19 09:24:15,18899.0,377.0,1057.0,119.0,3866.0,61.0,1655.0,11398.0,A hyperparameter optimization framework.,288.0,43,True,2025-02-12 07:57:23.000,4.2.1,72.0,optuna,conda-forge/optuna,,,,23450.0,22294.0,https://pypi.org/project/optuna,2025-02-12 07:57:23.000,1156.0,3437830.0,3478187.0,https://anaconda.org/conda-forge/optuna,2025-02-14 01:37:55.790,2260040.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+38,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2025-02-17 23:52:19.000000,2025-02-17 23:50:12,2697.0,129.0,4812.0,320.0,591.0,48.0,907.0,33220.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",169.0,42,True,2025-01-19 23:08:56.000,1.0.14,65.0,timm,conda-forge/timm,,,['pytorch'],48519.0,47450.0,https://pypi.org/project/timm,2025-01-19 23:08:56.000,1069.0,6528438.0,6643283.0,https://anaconda.org/conda-forge/timm,2025-01-20 17:34:15.209,318347.0,,,,,1.0,7524963.0,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,,,
+39,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2025-02-20 14:31:53.000000,2025-02-20 14:31:53,21835.0,543.0,3036.0,289.0,24503.0,733.0,12128.0,32642.0,"Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search.",305.0,42,True,2025-02-18 07:17:29.000,2.4.22,113.0,pymilvus,,milvusdb/milvus,,,207.0,,https://pypi.org/project/pymilvus,2025-01-22 07:29:16.000,207.0,1619036.0,2666218.0,,,,https://hub.docker.com/r/milvusdb/milvus,2025-02-20 06:19:45.791208,72.0,67718536.0,1.0,310847.0,,,,,,,,,,,,,,,,,,,
+40,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2025-02-14 10:12:52.000000,2025-02-14 10:12:51,1649.0,52.0,2533.0,144.0,649.0,1222.0,1106.0,16019.0,State-of-the-Art Text Embeddings.,208.0,42,True,2025-01-29 14:26:29.000,3.4.1,61.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],74881.0,72801.0,https://pypi.org/project/sentence-transformers,2025-01-29 14:25:53.000,2080.0,7358109.0,7368432.0,https://anaconda.org/conda-forge/sentence-transformers,2025-01-30 04:29:36.337,547143.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+41,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2025-02-18 22:19:19.000000,2025-02-18 22:16:14,1444.0,73.0,2541.0,240.0,687.0,136.0,1332.0,15823.0,Download market data from Yahoo! Finances API.,130.0,42,True,2025-02-18 22:19:19.000,0.2.54,126.0,yfinance,ranaroussi/yfinance,,,,62703.0,61857.0,https://pypi.org/project/yfinance,2025-02-18 22:19:19.000,846.0,4511125.0,4513397.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,97708.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+42,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2025-02-06 21:30:02.000000,2025-02-06 21:30:01,1425.0,185.0,1637.0,252.0,734.0,475.0,1564.0,13047.0,Video editing with Python.,182.0,42,True,2025-01-10 11:54:12.000,2.1.2,89.0,moviepy,conda-forge/moviepy,,,,55804.0,54756.0,https://pypi.org/project/moviepy,2025-01-10 11:54:12.000,1048.0,2671623.0,2674783.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,287647.0,,,,,1.0,,,,,,,,,-1.0,,,,,,,,,,,
+43,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2025-01-26 16:55:15.000000,2025-01-26 16:55:13,3242.0,5.0,1949.0,263.0,1136.0,168.0,2447.0,12870.0,Statistical data visualization in Python.,215.0,42,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,578930.0,568087.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,22248710.0,22457175.0,https://anaconda.org/conda-forge/seaborn,2024-12-09 07:42:09.249,11673911.0,,,,,1.0,466.0,,,,,,,,,,,,,,,,,,,
+44,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2025-02-17 16:44:42.000000,2025-02-17 16:44:41,3865.0,42.0,794.0,138.0,1565.0,133.0,1941.0,9593.0,Declarative visualization library for Python.,175.0,42,True,2024-11-24 00:12:10.000,5.5.0,43.0,altair,conda-forge/altair,,,,201564.0,200648.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,24972313.0,25040866.0,https://anaconda.org/conda-forge/altair,2024-12-15 06:41:29.283,2604964.0,,,,,1.0,224.0,,,,,,,vega/altair,-1.0,,,,,,,,,,,
+45,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2025-02-20 04:38:10.000000,2025-02-20 02:43:28,7732.0,378.0,702.0,63.0,5990.0,622.0,2867.0,9513.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",208.0,42,True,2025-02-05 01:11:39.000,0.19.6,304.0,wandb,conda-forge/wandb,,,,68280.0,66631.0,https://pypi.org/project/wandb,2025-02-05 01:08:46.000,1649.0,16381164.0,16398513.0,https://anaconda.org/conda-forge/wandb,2025-02-06 20:15:58.706,953503.0,,,,,1.0,624.0,,,,,,,wandb/wandb,,,,,,,,,,,,
+46,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2025-02-18 20:58:43.000000,2025-02-18 20:58:42,5888.0,13.0,1663.0,189.0,5064.0,693.0,1242.0,6794.0,TensorFlows Visualization Toolkit.,322.0,42,True,2025-02-12 08:17:27.000,2.19.0,64.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],297213.0,294759.0,https://pypi.org/project/tensorboard,2025-02-12 08:17:27.000,2454.0,23457980.0,23553554.0,https://anaconda.org/conda-forge/tensorboard,2024-12-10 08:54:23.547,5352190.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+47,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2025-02-19 08:45:36.562000,2025-02-18 17:58:29,14270.0,57.0,2254.0,184.0,4595.0,809.0,2148.0,6180.0,Image processing in Python.,680.0,42,False,2025-02-18 18:05:27.000,0.25.2,74.0,scikit-image,conda-forge/scikit-image,,,,222134.0,215183.0,https://pypi.org/project/scikit-image,2025-02-18 18:04:11.000,6951.0,11792979.0,11928280.0,https://anaconda.org/conda-forge/scikit-image,2025-02-19 08:45:36.562,7576881.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+48,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2025-02-20 02:17:30.000000,2025-02-20 02:15:12,6414.0,55.0,7917.0,450.0,3233.0,169.0,9416.0,46569.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",266.0,41,True,2024-10-22 05:57:58.000,2.9.1,48.0,paddleocr,,,,['paddle'],4486.0,4378.0,https://pypi.org/project/paddleocr,2024-10-22 05:57:58.000,108.0,326753.0,350887.0,,,,,,,,1.0,1279127.0,,,,,,,,,,,,,,,,,,,
+49,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/deepspeedai/DeepSpeed,https://github.com/deepspeedai/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2025-02-20 13:36:57.000000,2025-02-19 22:15:03,2689.0,112.0,4204.0,347.0,3184.0,1099.0,1974.0,36873.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",372.0,41,True,2025-01-21 22:31:21.000,0.16.3,102.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],11411.0,11168.0,https://pypi.org/project/deepspeed,2025-01-21 22:31:21.000,243.0,585448.0,585804.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,21723.0,1.0,,,,,,,,deepspeedai/DeepSpeed,,,,,,,,,,,,
+50,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2025-02-20 05:47:30.000000,2025-02-20 05:44:03,1387.0,75.0,3675.0,482.0,1367.0,254.0,2346.0,33110.0,A library for efficient similarity search and clustering of dense vectors.,206.0,41,True,2025-01-31 23:29:10.000,1.10.0,113.0,pymilvus,conda-forge/faiss,,,,4655.0,4448.0,https://pypi.org/project/pymilvus,2025-01-22 07:29:16.000,207.0,1619036.0,1659007.0,https://anaconda.org/conda-forge/faiss,2024-12-20 08:17:21.787,2238406.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+51,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2025-02-14 17:29:24.000000,2025-02-14 17:29:24,2800.0,25.0,3289.0,245.0,1019.0,693.0,1892.0,23409.0,A game theoretic approach to explain the output of any machine learning model.,258.0,41,True,2024-06-27 10:16:34.000,0.46.0,104.0,shap,conda-forge/shap,,,,26272.0,25524.0,https://pypi.org/project/shap,2024-06-27 10:16:34.000,748.0,8333867.0,8436741.0,https://anaconda.org/conda-forge/shap,2024-12-10 12:59:40.676,5143728.0,,,,,1.0,,,,,,,,shap/shap,,,,,,,,,,,,
+52,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2025-02-20 03:43:33.000000,2025-02-20 03:43:31,7722.0,67.0,3759.0,254.0,3317.0,1144.0,2692.0,21904.0,Graph Neural Network Library for PyTorch.,536.0,41,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],8288.0,7933.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,535842.0,538397.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-12-19 10:54:16.536,140548.0,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,
+53,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2025-02-20 13:43:12.000000,2025-02-20 13:04:00,3997.0,40.0,7001.0,455.0,5500.0,1107.0,2538.0,16562.0,"Datasets, Transforms and Models specific to Computer Vision.",623.0,41,True,2025-01-29 17:46:46.000,0.21.0,50.0,torchvision,conda-forge/torchvision,,,['pytorch'],6499.0,21.0,https://pypi.org/project/torchvision,2025-01-29 16:28:54.000,6478.0,14540437.0,14591090.0,https://anaconda.org/conda-forge/torchvision,2025-02-16 02:15:29.172,2360780.0,,,,,1.0,39914.0,,,,,,,,,,,,,,,,,,,
+54,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2025-02-18 23:18:07.000000,2025-02-18 23:18:04,1237.0,129.0,1663.0,129.0,1147.0,160.0,991.0,14605.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,163.0,41,True,2025-02-11 21:50:25.000,2.0.4,84.0,albumentations,conda-forge/albumentations,,,['pytorch'],33027.0,32379.0,https://pypi.org/project/albumentations,2025-02-11 21:50:44.000,648.0,6173799.0,6178060.0,https://anaconda.org/conda-forge/albumentations,2025-02-12 01:13:45.760,234405.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+55,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2025-02-15 13:56:28.714000,2025-02-09 06:31:53,9387.0,27.0,1200.0,134.0,5568.0,251.0,4500.0,14174.0,Data Versioning and ML Experiments.,309.0,41,True,2025-02-15 11:14:43.000,3.59.1,543.0,dvc,conda-forge/dvc,,,,21350.0,21213.0,https://pypi.org/project/dvc,2025-02-15 11:14:43.000,137.0,961390.0,1008250.0,https://anaconda.org/conda-forge/dvc,2025-02-15 13:56:28.714,2624202.0,,,,,1.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,,
+56,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2025-02-17 20:11:35.000000,2025-02-05 20:21:39,6578.0,404.0,2108.0,202.0,1265.0,115.0,2239.0,14070.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,276.0,41,True,2025-02-05 14:46:22.000,0.15.1,35.0,flair,conda-forge/python-flair,,,['pytorch'],3942.0,3793.0,https://pypi.org/project/flair,2025-02-05 14:45:41.000,149.0,147006.0,147713.0,https://anaconda.org/conda-forge/python-flair,2024-12-26 18:30:16.572,38938.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+57,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2025-02-10 21:00:17.000000,2025-02-10 21:00:13,10188.0,70.0,2050.0,225.0,4160.0,347.0,3092.0,8879.0,Bayesian Modeling and Probabilistic Programming in Python.,510.0,41,True,2025-02-06 11:51:17.000,5.20.1,97.0,pymc3,conda-forge/pymc3,,,,5759.0,5567.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,297023.0,308538.0,https://anaconda.org/conda-forge/pymc3,2024-12-21 13:26:06.624,644027.0,,,,,1.0,1968.0,,,,,,,,,,,,,,,,,,,
+58,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2025-02-20 14:42:58.000000,2025-02-17 16:51:47,1668.0,49.0,1038.0,97.0,1671.0,122.0,1625.0,8352.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",315.0,41,True,2025-02-17 17:18:10.000,1.4.0,68.0,accelerate,conda-forge/accelerate,,,['pytorch'],74228.0,72373.0,https://pypi.org/project/accelerate,2025-02-17 17:10:14.000,1855.0,9273586.0,9281172.0,https://anaconda.org/conda-forge/accelerate,2025-02-18 16:49:36.527,303467.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+59,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2025-02-20 08:28:39.000000,2025-02-20 08:28:33,49099.0,302.0,1189.0,190.0,407.0,575.0,1797.0,8252.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1305.0,41,True,2024-12-07 11:22:32.000,node-package-v1.26.0,113.0,catboost,conda-forge/catboost,,,,551.0,16.0,https://pypi.org/project/catboost,2024-09-07 16:51:57.000,535.0,2959860.0,3001434.0,https://anaconda.org/conda-forge/catboost,2025-01-29 22:51:25.556,1916245.0,,,,,2.0,356120.0,,,,,,,,,,,,,,,,,,,
+60,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2025-02-20 11:56:35.000000,2025-02-20 08:59:51,36551.0,434.0,13511.0,930.0,26171.0,1220.0,,24544.0,Apache Flink Python API.,1984.0,40,True,2025-02-12 18:41:59.000,1.20.1,51.0,apache-flink,,,,,56.0,21.0,https://pypi.org/project/apache-flink,2025-02-12 19:13:03.000,35.0,10520802.0,10520802.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+61,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2025-02-16 16:36:34.000000,2025-02-11 09:57:05,1858.0,15.0,823.0,123.0,690.0,62.0,971.0,9390.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,106.0,40,True,2024-11-27 13:11:07.000,0.21.0,108.0,tokenizers,conda-forge/tokenizers,,,,139826.0,138730.0,https://pypi.org/project/tokenizers,2024-11-27 13:11:07.000,1096.0,37499042.0,37546864.0,https://anaconda.org/conda-forge/tokenizers,2024-11-27 19:20:00.476,2630204.0,,,,,1.0,73.0,,,,,,,,,,,,,,,,,,,
+62,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2025-02-13 22:06:21.000000,2025-02-13 22:06:21,10389.0,60.0,1404.0,136.0,1324.0,146.0,1023.0,9377.0,A PyTorch-based Speech Toolkit.,257.0,40,True,2024-10-31 10:06:07.000,1.0.2,18.0,speechbrain,,,,['pytorch'],2941.0,2874.0,https://pypi.org/project/speechbrain,2024-10-30 18:31:32.000,67.0,3852186.0,3852186.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+63,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2025-02-20 09:45:40.000000,2025-02-20 09:45:40,5211.0,189.0,1455.0,109.0,4677.0,1049.0,1678.0,8214.0,A unified framework for machine learning with time series.,445.0,40,True,2025-02-05 08:20:19.000,0.36.0,87.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],4071.0,3940.0,https://pypi.org/project/sktime,2025-02-05 08:20:19.000,131.0,833335.0,858236.0,https://anaconda.org/conda-forge/sktime-all-extras,2025-02-18 07:45:48.283,1070700.0,,,,,1.0,111.0,,,,,,,sktime/sktime,,,,,,,,,,,,
+64,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2025-02-20 05:40:16.000000,2025-02-20 05:40:16,2350.0,25.0,573.0,89.0,912.0,294.0,997.0,4011.0,Manipulation and analysis of geometric objects.,167.0,40,True,2025-01-31 02:55:48.000,2.0.7,126.0,shapely,conda-forge/shapely,,,,98308.0,94721.0,https://pypi.org/project/shapely,2025-01-31 01:10:20.000,3587.0,39882132.0,40092638.0,https://anaconda.org/conda-forge/shapely,2025-01-31 07:52:57.392,11362289.0,,,,,1.0,3763.0,,,,,,,,,,,,,,,,,,,
+65,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2025-02-20 14:18:10.000000,2025-02-19 21:50:13,4070.0,172.0,1155.0,138.0,3310.0,342.0,1236.0,2130.0,A library for training and deploying machine learning models on Amazon SageMaker.,474.0,40,True,2025-02-19 21:50:19.000,2.239.3,621.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",5483.0,5316.0,https://pypi.org/project/sagemaker,2025-02-19 21:50:19.000,167.0,23180720.0,23206009.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2025-02-20 04:08:51.263,1365613.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,,
+66,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2025-02-20 08:10:34.000000,2025-02-13 23:01:09,5984.0,44.0,726.0,57.0,5245.0,1546.0,2429.0,1603.0,A distributed task scheduler for Dask.,332.0,40,True,2025-02-13 23:03:41.000,2025.2.0,248.0,distributed,conda-forge/distributed,,,,39387.0,38472.0,https://pypi.org/project/distributed,2025-02-13 23:03:41.000,915.0,4072750.0,4362648.0,https://anaconda.org/conda-forge/distributed,2025-02-14 00:09:47.645,16524195.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+67,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-10-11 20:07:05.000000,2023-01-30 18:15:21,1757.0,,8614.0,1057.0,1458.0,121.0,1726.0,35425.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,39,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,63613.0,62065.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,1243316.0,1249613.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,365261.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+68,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-12-14 04:24:44.000000,2024-12-14 04:24:41,2802.0,2.0,7565.0,604.0,2242.0,226.0,1594.0,26648.0,The fastai deep learning library.,670.0,39,True,2024-10-19 03:20:25.000,2.7.18,152.0,fastai,,,,['pytorch'],21080.0,20772.0,https://pypi.org/project/fastai,2024-10-19 03:20:25.000,308.0,451229.0,451229.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+69,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2025-02-12 03:13:59.000000,2025-01-14 10:26:14,32383.0,8.0,4705.0,357.0,6419.0,137.0,6642.0,19466.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,39,True,2025-01-14 10:40:21.000,3.6.21,374.0,rasa,,,,['tensorflow'],4885.0,4825.0,https://pypi.org/project/rasa,2025-01-14 10:40:10.000,60.0,252957.0,252957.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+70,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2025-02-19 11:43:16.000000,2025-02-19 11:43:16,1862.0,176.0,2443.0,166.0,269.0,8.0,1155.0,17803.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",82.0,39,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,5655.0,5611.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,474414.0,474414.0,,,,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,
+71,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2025-02-03 17:02:25.000000,2025-02-03 16:57:44,1942.0,30.0,2229.0,162.0,923.0,89.0,1060.0,7040.0,Python Data. Leaflet.js Maps.,173.0,39,True,2025-01-06 09:17:10.000,0.19.4,38.0,folium,conda-forge/folium,,,,52684.0,51867.0,https://pypi.org/project/folium,2025-01-06 09:17:10.000,817.0,1740878.0,1811599.0,https://anaconda.org/conda-forge/folium,2025-01-07 11:07:31.883,3465340.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+72,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2025-02-19 14:22:48.000000,2025-02-19 14:22:22,6655.0,56.0,1564.0,109.0,4620.0,700.0,766.0,4362.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",439.0,39,True,2024-10-30 12:58:53.000,4.9.7,40.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],22130.0,21801.0,https://pypi.org/project/tensorflow-datasets,2024-10-30 12:58:48.000,329.0,1776900.0,1777863.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,43369.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+73,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2025-02-17 15:17:05.000000,2025-02-17 15:17:04,18279.0,87.0,1331.0,83.0,8179.0,552.0,4424.0,2842.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,387.0,39,True,2024-12-18 21:23:23.000,1.9.0,81.0,mne,conda-forge/mne,,,,5546.0,5127.0,https://pypi.org/project/mne,2024-12-18 21:23:23.000,419.0,145799.0,154515.0,https://anaconda.org/conda-forge/mne,2025-01-07 16:17:58.654,496857.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+74,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2025-02-20 09:05:19.000000,2025-02-20 09:05:19,10802.0,287.0,595.0,64.0,2951.0,298.0,1980.0,1240.0,Machine learning for NeuroImaging in Python.,253.0,39,True,2024-12-23 09:33:25.000,0.11.1,49.0,nilearn,conda-forge/nilearn,,,['sklearn'],4156.0,3847.0,https://pypi.org/project/nilearn,2024-12-23 09:28:14.000,309.0,72426.0,78654.0,https://anaconda.org/conda-forge/nilearn,2024-12-23 13:35:55.827,317329.0,,,,,1.0,289.0,,,,,,,,,,,,,,,,,,,
+75,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6788.0,1069.0,11124.0,1805.0,7758.0,20787.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7858.0,7732.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,586606.0,587006.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,11594.0,,,,,2.0,28000.0,,,,,,,apache/mxnet,,,,,6.0,,,,,,,
+76,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2025-02-08 00:00:46.000000,2025-02-07 08:53:08,3960.0,50.0,1212.0,151.0,195.0,119.0,1110.0,18220.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",105.0,38,True,2025-02-08 00:00:46.000,16.9.0,250.0,ocrmypdf,conda-forge/ocrmypdf,,,,1209.0,1167.0,https://pypi.org/project/ocrmypdf,2025-02-08 00:00:46.000,42.0,194975.0,197270.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,90957.0,,,,,1.0,7226.0,,,,,,,,1.0,ocrmypdf,ocrmypdf,,,,,,,,,
+77,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2025-02-14 14:36:48.000000,2025-02-14 14:36:27,4536.0,2.0,4379.0,427.0,1714.0,389.0,1465.0,15860.0,Topic Modelling for Humans.,458.0,38,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,,72443.0,71066.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4440337.0,4473077.0,https://anaconda.org/conda-forge/gensim,2024-09-03 16:06:08.530,1536381.0,,,,,1.0,5825.0,,,,,,,piskvorky/gensim,,,,,,,,,,,,
+78,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2025-02-19 13:14:53.000000,2025-02-19 13:14:30,1919.0,71.0,4458.0,541.0,723.0,251.0,1418.0,14201.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",107.0,38,True,2025-02-19 13:14:53.000,1.2.1,88.0,chatterbot,,,,,6130.0,6112.0,https://pypi.org/project/chatterbot,2025-02-19 13:13:48.000,18.0,34558.0,34558.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+79,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2025-02-15 20:56:11.000000,2025-02-15 20:56:10,8296.0,8.0,3366.0,480.0,737.0,53.0,2189.0,13779.0,A toolkit for making real world machine learning and data analysis applications in C++.,199.0,38,False,2024-08-09 19:26:11.000,19.24.6,39.0,dlib,conda-forge/dlib,,,,34613.0,34400.0,https://pypi.org/project/dlib,2024-08-09 19:21:06.000,213.0,188437.0,207131.0,https://anaconda.org/conda-forge/dlib,2024-09-11 22:57:26.780,1034582.0,,,,,2.0,25564.0,,,,,,,,,,,,,,,,,,,
+80,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2025-02-19 11:40:51.000000,2025-02-19 11:16:47,6591.0,75.0,3739.0,257.0,1833.0,1101.0,4695.0,12043.0,Open-source simulator for autonomous driving research.,180.0,38,True,2024-12-19 14:10:57.000,0.10.0,27.0,carla,,,,,943.0,932.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,11470.0,11470.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+81,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2025-02-20 10:36:27.000000,2025-02-20 10:36:26,29603.0,269.0,856.0,127.0,6577.0,617.0,1813.0,9926.0,NumPy & SciPy for GPU.,401.0,38,True,2024-08-22 07:42:45.000,13.3.0,141.0,cupy,conda-forge/cupy,cupy/cupy,,,2783.0,2514.0,https://pypi.org/project/cupy,2024-08-22 07:08:16.000,269.0,35798.0,141445.0,https://anaconda.org/conda-forge/cupy,2024-10-18 20:21:57.477,5823134.0,https://hub.docker.com/r/cupy/cupy,2024-08-22 07:44:42.171252,13.0,76273.0,1.0,195637.0,,,,,,,,,,,,,,,,,,,
+82,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2025-02-19 18:04:00.000000,2025-02-11 00:23:12,612.0,14.0,1153.0,258.0,210.0,97.0,182.0,9255.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,38,True,2025-01-13 23:03:01.000,0.19.0,62.0,textblob,conda-forge/textblob,,,,50137.0,49732.0,https://pypi.org/project/textblob,2025-01-13 23:03:01.000,405.0,1187741.0,1190464.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,277785.0,,,,,1.0,125.0,,,,,,,,,,,,,,,,,,,
+83,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2025-02-20 13:13:12.000000,2025-02-20 13:13:09,22764.0,734.0,593.0,65.0,3900.0,534.0,1099.0,9192.0,"Visualize, create, and debug image and video datasets and model predictions.",152.0,38,True,2025-01-24 21:02:31.000,1.3.0,153.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",852.0,827.0,https://pypi.org/project/fiftyone,2025-01-24 21:02:31.000,25.0,70872.0,70872.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+84,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2025-02-05 12:41:01.000000,2025-02-05 12:19:24,22788.0,434.0,2190.0,176.0,3445.0,368.0,2106.0,8792.0,End-to-End Speech Processing Toolkit.,488.0,38,True,2024-12-04 04:40:05.000,.202412,54.0,espnet,,,,,427.0,415.0,https://pypi.org/project/espnet,2024-12-04 04:40:26.000,12.0,20353.0,20354.0,,,,,,,,1.0,84.0,,,,,,,,,,,,,,,,,,,
+85,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2025-02-18 14:27:05.000000,2025-02-18 14:27:05,2060.0,12.0,938.0,106.0,1729.0,446.0,1287.0,4638.0,Python tools for geographic data.,239.0,38,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,,['pandas'],51659.0,48820.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,6374040.0,6452063.0,https://anaconda.org/conda-forge/geopandas,2024-12-16 10:51:59.253,4367734.0,,,,,2.0,2937.0,,,,,,,,,,,,,,,,,,,
+86,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2025-02-20 08:05:27.000000,2025-02-18 03:24:26,5056.0,243.0,526.0,37.0,4075.0,661.0,1174.0,2934.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,172.0,38,True,2024-11-27 01:15:51.000,0.44.2,99.0,pyvista,conda-forge/pyvista,,,['jupyter'],4706.0,4128.0,https://pypi.org/project/pyvista,2024-11-27 00:06:11.000,578.0,420181.0,431467.0,https://anaconda.org/conda-forge/pyvista,2024-12-15 21:46:00.136,631555.0,,,,,2.0,869.0,,,,,,,,,,,,,,,,,,,
+87,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2025-02-20 14:52:01.000000,2025-02-20 14:51:58,1715.0,97.0,631.0,61.0,1681.0,169.0,919.0,2350.0,The official Python client for the Huggingface Hub.,220.0,38,True,2025-02-20 09:34:41.000,0.29.1,157.0,huggingface_hub,conda-forge/huggingface_hub,,,,2511.0,,https://pypi.org/project/huggingface_hub,2025-02-20 09:24:57.000,2511.0,61681298.0,61738287.0,https://anaconda.org/conda-forge/huggingface_hub,2025-02-19 18:13:40.849,2735474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+88,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-12-27 20:06:24.390000,2020-02-15 08:33:35,523.0,,6713.0,1281.0,167.0,674.0,227.0,33706.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,35686.0,34848.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1002327.0,1006114.0,https://anaconda.org/conda-forge/jieba,2024-12-27 20:06:24.390,170433.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+89,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2025-02-15 00:54:22.620000,2024-10-18 16:40:02,2327.0,,6414.0,422.0,1361.0,1291.0,3055.0,31019.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,429.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],4086.0,3969.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,115108.0,117461.0,https://anaconda.org/conda-forge/fairseq,2025-02-15 00:54:22.620,129220.0,,,,,2.0,384.0,,,,,,,,,,,,,,,,,,,
+90,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2025-02-19 16:00:02.000000,2025-02-19 15:59:59,8843.0,200.0,2847.0,306.0,248.0,22.0,1154.0,29414.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,37,True,2025-02-14 14:01:24.000,8.1.7,693.0,netron,,,,"['pytorch', 'tensorflow']",734.0,651.0,https://pypi.org/project/netron,2025-02-14 14:01:24.000,83.0,28293.0,111824.0,,,,,,,,1.0,83531.0,,,,,,,,,,,,,,,,,,,
+91,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2025-01-13 19:06:45.000000,2025-01-13 19:00:04,4822.0,5.0,5277.0,383.0,738.0,670.0,1384.0,13473.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",200.0,37,False,2024-11-22 15:43:48.000,2.8.0,59.0,glfw,conda-forge/glfw,,,,1754.0,1555.0,https://pypi.org/project/glfw,2024-11-22 15:43:48.000,199.0,592148.0,634083.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,332209.0,,,,,2.0,4166753.0,,,,,,,,,,,,,,,,,,,
+92,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2025-02-20 14:00:22.000000,2025-02-20 09:38:22,7984.0,428.0,2678.0,217.0,9130.0,150.0,2359.0,13159.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",388.0,37,True,2025-01-03 10:31:39.000,2.1.0,82.0,nemo-toolkit,,,,['pytorch'],35.0,21.0,https://pypi.org/project/nemo-toolkit,2025-02-17 17:04:19.000,14.0,76706.0,81941.0,,,,,,,,2.0,340338.0,,,,,,,,,,,,,,,,,,,
+93,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2025-02-18 01:25:16.000000,2025-02-18 01:24:17,1519.0,12.0,1687.0,153.0,841.0,238.0,583.0,12734.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,134.0,37,True,2025-01-20 16:41:02.000,4.12.2,67.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",5616.0,5433.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,415808.0,420632.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,491942.0,,,,,2.0,257.0,,,,,,,ydataai/ydata-profiling,,,,,,,,,,,,
+94,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2025-02-11 18:56:28.000000,2024-08-18 00:47:35,986.0,,1176.0,129.0,323.0,41.0,723.0,10606.0,Unsupervised text tokenizer for Neural Network-based text generation.,89.0,37,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,97208.0,95476.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,22804742.0,22830407.0,https://anaconda.org/conda-forge/sentencepiece,2024-12-31 07:56:17.243,1375179.0,,,,,2.0,51696.0,,,,,,,,,,,,,,,,,,,
+95,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2025-02-14 01:00:43.000000,2025-02-14 01:00:40,2856.0,27.0,980.0,129.0,1995.0,293.0,671.0,10235.0,Geometric Computer Vision Library for Spatial AI.,278.0,37,True,2025-01-11 05:21:32.000,0.8.0,42.0,kornia,conda-forge/kornia,,,['pytorch'],14373.0,14067.0,https://pypi.org/project/kornia,2025-01-11 05:21:32.000,306.0,1925405.0,1929039.0,https://anaconda.org/conda-forge/kornia,2025-01-11 07:13:54.786,180646.0,,,,,2.0,1672.0,,,,,,,,,,,,,,,,,,,
+96,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2488.0,536.0,4121.0,697.0,2088.0,9927.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,False,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,16059.0,15887.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,82556.0,106722.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2489156.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+97,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2025-01-13 08:58:34.000000,2024-12-22 09:46:56,1887.0,11.0,1377.0,149.0,260.0,222.0,148.0,8854.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",62.0,37,True,2024-12-22 00:23:34.000,2.0.3,95.0,pyod,conda-forge/pyod,,,,4875.0,4754.0,https://pypi.org/project/pyod,2024-12-22 00:21:49.000,121.0,593887.0,596355.0,https://anaconda.org/conda-forge/pyod,2024-09-06 15:18:34.744,140682.0,,,,,1.0,,,,,,,,,1.0,,,,,,,,,,,
+98,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2025-02-19 23:25:57.000000,2025-02-19 21:10:34,4985.0,99.0,662.0,88.0,2783.0,360.0,757.0,6351.0,Flax is a neural network library for JAX that is designed for flexibility.,253.0,37,True,2025-02-10 17:34:15.000,0.10.3,51.0,flax,conda-forge/flax,,,['jax'],12406.0,11869.0,https://pypi.org/project/flax,2025-02-10 17:34:15.000,537.0,1190092.0,1191990.0,https://anaconda.org/conda-forge/flax,2024-11-20 00:54:51.479,89171.0,,,,,2.0,59.0,,,,,,,,,,,,,,,,,,,
+99,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2025-01-16 13:51:35.000000,2025-01-16 09:47:38,1004.0,24.0,866.0,89.0,234.0,138.0,704.0,4700.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",53.0,37,True,2025-01-16 13:56:09.000,84,75.0,opencv-python,,,,,525019.0,513502.0,https://pypi.org/project/opencv-python,2025-01-16 13:51:35.000,11517.0,16195016.0,16195016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+100,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2025-02-20 13:44:18.497000,2025-01-29 23:18:29,12212.0,19.0,1111.0,156.0,471.0,706.0,760.0,4294.0,Probabilistic reasoning and statistical analysis in TensorFlow.,499.0,37,True,2024-11-08 16:30:13.000,0.25.0,53.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],621.0,3.0,https://pypi.org/project/tensorflow-probability,2024-11-08 16:25:57.000,618.0,1049301.0,1052760.0,https://anaconda.org/conda-forge/tensorflow-probability,2025-02-20 13:44:18.497,166061.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+101,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2025-02-20 13:09:53.000000,2025-02-20 10:22:37,10918.0,35.0,403.0,56.0,3151.0,1120.0,2257.0,2752.0,"With Holoviews, your data visualizes itself.",148.0,37,True,2025-02-19 19:50:03.000,1.20.1,177.0,holoviews,conda-forge/holoviews,,,['jupyter'],14559.0,14131.0,https://pypi.org/project/holoviews,2025-02-19 17:05:25.000,423.0,462606.0,497971.0,https://anaconda.org/conda-forge/holoviews,2025-02-19 17:37:55.189,1965168.0,,,,,2.0,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2025-01-14 14:45:46.544,5.0,273.0,,,,,,,,,,,,,,
+102,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2025-02-20 14:46:33.000000,2025-02-20 09:51:44,5054.0,286.0,624.0,45.0,5584.0,334.0,1141.0,2485.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",193.0,37,True,2025-01-14 21:23:00.000,0.40.0,61.0,pennylane,conda-forge/pennylane,,,,1429.0,1305.0,https://pypi.org/project/pennylane,2025-01-14 21:23:00.000,124.0,73742.0,79900.0,https://anaconda.org/conda-forge/pennylane,2024-07-09 13:59:12.283,240140.0,,,,,1.0,100.0,,,,,,,,,,,,,,,,,,,
+103,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2025-01-30 21:57:16.387000,2025-01-20 02:42:28,1553.0,8.0,302.0,32.0,506.0,100.0,513.0,1552.0,Python library for reading and writing image data.,122.0,37,True,2025-01-20 02:42:38.000,2.37.0,97.0,imageio,conda-forge/imageio,,,,162063.0,159448.0,https://pypi.org/project/imageio,2025-01-20 02:42:34.000,2615.0,23865027.0,24001232.0,https://anaconda.org/conda-forge/imageio,2025-01-30 21:57:16.387,7490219.0,,,,,2.0,1526.0,,,,,,,,-1.0,,,,,,,,,,,
+104,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9485.0,373.0,3173.0,1846.0,6732.0,30291.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,36,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],3583.0,3501.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,82.0,185817.0,185817.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+105,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2025-02-18 12:25:10.000000,2025-02-18 12:25:10,2351.0,4.0,5431.0,519.0,185.0,1154.0,1387.0,24315.0,State-of-the-art 2D and 3D Face Analysis Project.,64.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],3461.0,3431.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,225772.0,527632.0,,,,,,,,2.0,6640935.0,,,,,,,,,,,,,,,,,,,
+106,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/serve,https://github.com/jina-ai/serve,Apache-2.0,2020-02-13 17:04:44.000,2025-02-20 10:38:42.000000,2024-12-20 12:13:57,8639.0,15.0,2211.0,216.0,4224.0,5.0,1942.0,21324.0,Build multimodal AI applications with cloud-native stack.,178.0,36,True,2024-12-20 12:13:24.000,3.33.0,2490.0,jina,conda-forge/jina-core,jinaai/jina,,,27.0,,https://pypi.org/project/jina,2024-12-20 12:13:24.000,27.0,100566.0,132293.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,87127.0,https://hub.docker.com/r/jinaai/jina,2024-12-20 12:22:55.316112,8.0,1776123.0,2.0,,,,,,,,jina-ai/serve,,,,,,,,,,,,
+107,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2025-02-20 14:49:50.000000,2025-02-20 09:54:50,3891.0,145.0,2057.0,144.0,4255.0,106.0,3600.0,19312.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",279.0,36,True,2025-02-20 14:01:06.000,2.10.3,100.0,haystack,,,,,871.0,866.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,5474.0,5474.0,,,,,,,,2.0,,,,,,,,,1.0,,,,,,,,,,,
+108,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2025-02-13 14:00:02.000000,2025-01-26 07:01:34,1702.0,2.0,2855.0,379.0,485.0,1.0,1930.0,15129.0,Python Echarts Plotting Library.,45.0,36,True,2025-01-24 03:13:18.000,2.0.8,76.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],5198.0,4975.0,https://pypi.org/project/pyecharts,2025-01-24 03:10:03.000,223.0,320412.0,320415.0,,,,,,,,2.0,72.0,,,,,,,,,,,,,,,,,,,
+109,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-07-30 01:38:33.000000,2020-06-01 14:58:26,2913.0,,2444.0,229.0,346.0,310.0,226.0,14515.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,24645.0,24380.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,517336.0,520240.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,197499.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+110,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Apache-2.0,2021-01-19 08:37:25.000,2025-02-18 21:58:05.000000,2025-02-18 21:56:12,18854.0,77.0,5697.0,68.0,11759.0,941.0,15960.0,14016.0,Convert Machine Learning Code Between Frameworks.,1481.0,36,True,2025-01-22 20:14:24.000,1.0.0.3,136.0,ivy,,,,,16.0,,https://pypi.org/project/ivy,2025-01-22 20:16:02.000,16.0,19915.0,19915.0,,,,,,,,2.0,,,,,,,,ivy-llc/ivy,,,,,,,,,,,,
+111,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2025-02-11 00:26:08.000000,2025-02-11 00:26:08,4416.0,6.0,3018.0,174.0,5066.0,539.0,2359.0,13703.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",296.0,36,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,486.0,338.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,97011.0,97011.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+112,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2254.0,280.0,3096.0,91.0,2477.0,11808.0,"An open-source NLP research library, built on PyTorch.",267.0,36,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4478.0,4353.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,83643.0,85989.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,173653.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,,
+113,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2025-02-16 12:39:50.000000,2025-02-16 12:38:58,35224.0,734.0,1998.0,198.0,5880.0,49.0,3393.0,9620.0,Perform data science on data that remains in someone elses server.,516.0,36,True,2025-02-13 11:13:19.000,0.9.5,327.0,syft,,,,['pytorch'],5.0,1.0,https://pypi.org/project/syft,2025-02-16 12:39:09.000,4.0,10448.0,10595.0,,,,,,,,1.0,2066.0,,,,,,,,-1.0,,,,,,,,,,,
+114,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-12-19 19:56:21.550000,2022-12-08 17:49:19,746.0,,1060.0,135.0,240.0,371.0,274.0,9184.0,Manipulate audio with a simple and easy high level interface.,95.0,36,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,85319.0,83950.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,7972521.0,7975617.0,https://anaconda.org/conda-forge/pydub,2024-12-19 19:56:21.550,145538.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+115,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2025-02-18 15:49:24.000000,2025-02-18 15:49:24,5368.0,11.0,1786.0,134.0,1059.0,386.0,1954.0,9146.0,"An open-source, low-code machine learning library in Python.",142.0,36,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,7124.0,7093.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,293621.0,294819.0,https://anaconda.org/conda-forge/pycaret,2025-01-20 06:32:38.370,64007.0,,,,,2.0,721.0,,,,,,,,,,,,,,,,,,,
+116,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2025-02-09 06:45:21.970000,2025-02-09 04:33:30,708.0,8.0,357.0,68.0,137.0,34.0,155.0,8749.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",33.0,36,True,2025-02-09 03:17:01.000,0.8.1,16.0,einops,conda-forge/einops,,,,63764.0,61207.0,https://pypi.org/project/einops,2025-02-09 03:17:01.000,2557.0,7407104.0,7413502.0,https://anaconda.org/conda-forge/einops,2025-02-09 06:45:21.970,332708.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,,
+117,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2025-01-30 14:38:25.000000,2025-01-30 14:38:25,746.0,162.0,2411.0,275.0,204.0,320.0,338.0,8611.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",53.0,36,True,2025-01-25 12:32:46.000,3.14.1,64.0,SpeechRecognition,conda-forge/speechrecognition,,,,669.0,21.0,https://pypi.org/project/SpeechRecognition,2025-01-25 12:32:46.000,648.0,1356202.0,1360372.0,https://anaconda.org/conda-forge/speechrecognition,2025-01-25 15:19:51.975,225206.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+118,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2025-02-20 09:04:58.000000,2025-02-19 23:43:05,2489.0,80.0,963.0,97.0,2813.0,387.0,1190.0,8455.0,Fast and Accurate ML in 3 Lines of Code.,133.0,36,True,2024-11-27 17:04:12.000,1.2.0,1752.0,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",1012.0,982.0,https://pypi.org/project/autogluon,2025-02-20 09:04:58.000,30.0,170828.0,172210.0,https://anaconda.org/conda-forge/autogluon,2024-12-12 21:03:37.076,29217.0,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,14362.0,1.0,,,,,,,,,,,,,,,,,,,,
+119,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2025-02-17 02:30:29.000000,2025-02-17 02:30:25,1466.0,17.0,910.0,212.0,264.0,179.0,249.0,7142.0,Efficiently computes derivatives of NumPy code.,60.0,36,True,2024-08-22 19:07:12.000,1.7.0,30.0,autograd,conda-forge/autograd,,,,11756.0,11473.0,https://pypi.org/project/autograd,2024-08-22 19:07:12.000,283.0,3577889.0,3593963.0,https://anaconda.org/conda-forge/autograd,2024-12-13 21:24:24.362,514376.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+120,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2025-02-20 14:11:20.000000,2025-02-20 14:11:20,3201.0,35.0,1134.0,89.0,3563.0,406.0,2806.0,6128.0,AI Toolkit for Healthcare Imaging.,219.0,36,True,2024-10-17 00:54:28.000,1.4.0,103.0,monai,conda-forge/monai,,,['pytorch'],3682.0,3546.0,https://pypi.org/project/monai,2024-12-10 07:27:41.000,136.0,227356.0,228442.0,https://anaconda.org/conda-forge/monai,2024-12-23 06:56:31.847,41293.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+121,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2025-02-11 03:10:40.000000,2025-02-11 03:10:40,1220.0,20.0,659.0,122.0,975.0,371.0,1124.0,4572.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",184.0,36,True,2025-01-22 03:00:48.000,8.2,52.0,coremltools,conda-forge/coremltools,,,,4561.0,4474.0,https://pypi.org/project/coremltools,2025-01-21 20:59:17.000,87.0,652114.0,653971.0,https://anaconda.org/conda-forge/coremltools,2024-12-27 14:14:56.044,88979.0,,,,,2.0,13053.0,,,,,,,,,,,,,,,,,,,
+122,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2025-02-19 16:53:41.000000,2025-02-06 14:16:44,4246.0,42.0,1107.0,154.0,1774.0,435.0,906.0,3974.0,Fast data visualization and GUI tools for scientific / engineering applications.,299.0,36,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,12388.0,11362.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,352261.0,363855.0,https://anaconda.org/conda-forge/pyqtgraph,2024-12-11 05:23:38.827,649315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+123,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2025-02-20 14:43:23.000000,2025-02-20 14:16:09,1181.0,51.0,491.0,56.0,1387.0,410.0,470.0,2757.0,"Accelerate inference and training of Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware..",137.0,36,True,2025-01-30 16:26:59.000,1.24.0,75.0,optimum,conda-forge/optimum,,,,4786.0,4588.0,https://pypi.org/project/optimum,2025-01-30 16:08:05.000,198.0,879032.0,880015.0,https://anaconda.org/conda-forge/optimum,2024-05-29 19:43:21.254,33424.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+124,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2025-02-19 23:16:19.000000,2025-02-19 23:12:16,3820.0,257.0,319.0,70.0,2610.0,89.0,736.0,2436.0,Adaptive Experimentation Platform.,180.0,36,True,2025-02-03 18:26:32.000,0.5.0,44.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],955.0,898.0,https://pypi.org/project/ax-platform,2025-02-03 18:26:32.000,57.0,131084.0,131865.0,https://anaconda.org/conda-forge/ax-platform,2025-02-07 19:53:46.943,34381.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+125,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2025-02-17 23:35:58.000000,2025-01-17 03:23:34,3922.0,7.0,535.0,145.0,1250.0,146.0,1719.0,2312.0,Rasterio reads and writes geospatial raster datasets.,162.0,36,True,2024-12-02 16:44:51.000,1.4.3,166.0,rasterio,conda-forge/rasterio,,,,16744.0,15208.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,2297429.0,2385195.0,https://anaconda.org/conda-forge/rasterio,2024-12-02 18:32:30.402,4300183.0,,,,,2.0,1022.0,,,,,,,,,,,,,,,,,,,
+126,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2025-02-18 16:11:53.000000,2025-02-18 16:11:51,2059.0,64.0,416.0,34.0,1802.0,96.0,825.0,2210.0,"Machine learning metrics for distributed, scalable PyTorch applications.",266.0,36,True,2024-12-25 23:50:39.000,1.6.1,54.0,metrics,conda-forge/torchmetrics,,,['pytorch'],36939.0,36937.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,5396.0,43955.0,https://anaconda.org/conda-forge/torchmetrics,2024-12-26 06:40:15.359,1806013.0,,,,,2.0,6331.0,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,,,
+127,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2025-02-18 16:11:30.751000,2024-05-13 18:28:50,1241.0,,212.0,32.0,47.0,12.0,173.0,1683.0,Simple Python interface for Graphviz.,23.0,36,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,85229.0,82330.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2899.0,15248886.0,15249439.0,https://anaconda.org/anaconda/python-graphviz,2025-02-18 16:11:30.751,52033.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+128,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2025-02-18 09:45:33.000000,2025-02-18 06:10:02,1581.0,12.0,421.0,49.0,1537.0,182.0,694.0,1654.0,Exploratory analysis of Bayesian models with Python.,167.0,36,True,2024-09-28 20:50:27.000,0.20.0,39.0,arviz,conda-forge/arviz,,,,9506.0,9193.0,https://pypi.org/project/arviz,2024-09-28 20:50:27.000,313.0,1702463.0,1742881.0,https://anaconda.org/conda-forge/arviz,2024-12-13 11:00:38.877,2303744.0,,,,,1.0,178.0,,,,,,,,,,,,,,,,,,,
+129,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2025-02-20 09:03:29.000000,2025-02-19 22:57:19,908.0,15.0,347.0,41.0,1098.0,191.0,173.0,1240.0,Making text a first-class citizen in TensorFlow.,171.0,36,True,2024-12-17 19:04:40.000,2.18.1,74.0,tensorflow-text,,,,['tensorflow'],8287.0,8068.0,https://pypi.org/project/tensorflow-text,2024-12-16 21:46:55.000,219.0,6884083.0,6884083.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+130,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2025-02-17 22:38:03.000000,2025-02-17 22:34:37,1609.0,18.0,216.0,34.0,724.0,36.0,596.0,1089.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,69.0,36,True,2025-02-16 04:27:19.000,3.7.1,65.0,pyproj,conda-forge/pyproj,,,,41229.0,39281.0,https://pypi.org/project/pyproj,2025-02-16 04:27:19.000,1948.0,8772922.0,8949917.0,https://anaconda.org/conda-forge/pyproj,2025-02-16 14:16:53.510,9734744.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+131,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2025-02-16 15:38:12.000000,2025-02-16 15:38:04,6115.0,71.0,259.0,36.0,867.0,130.0,415.0,678.0,Python package to access a cacophony of neuro-imaging file formats.,106.0,36,True,2024-10-23 14:19:52.000,5.3.2,45.0,nibabel,conda-forge/nibabel,,,,26418.0,25237.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,623360.0,638629.0,https://anaconda.org/conda-forge/nibabel,2024-12-12 17:03:50.685,855076.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+132,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-08-21 06:22:36.000000,2022-06-10 09:12:18,238.0,,13504.0,1571.0,235.0,795.0,594.0,54163.0,The worlds simplest facial recognition api for Python and the command line.,54.0,35,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],4246.0,4130.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,153209.0,153828.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,32082.0,,,,,2.0,1402.0,,,,,,,,,,,,,,,,,,,
+133,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-08-16 12:07:14.000000,2024-02-10 14:20:58,4668.0,,4474.0,301.0,752.0,88.0,1133.0,37845.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",166.0,35,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",2382.0,2329.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,178563.0,274192.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,22506.0,,,,,2.0,4468174.0,,,,,,,,,,,,,,,,,,,
+134,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,,3204.0,317.0,266.0,461.0,601.0,25614.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,35,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,,11707.0,11454.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,253.0,764942.0,1089798.0,,,,,,,,2.0,18191961.0,,,,,,,,,,,,,,,,,,,
+135,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2025-02-01 10:46:59.000000,2025-02-01 10:46:42,1341.0,1.0,2241.0,334.0,1604.0,408.0,1867.0,14388.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",174.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1358.0,1325.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,33.0,89512.0,89512.0,,,,,,,,2.0,,,,,,,stable/horovod,,,,,,,,,,,,,
+136,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2025-02-19 16:47:01.000000,2025-02-18 18:23:23,2681.0,20.0,704.0,104.0,503.0,615.0,1276.0,9819.0,An open source multi-tool for exploring and publishing data.,81.0,35,True,2024-11-29 01:18:11.000,0.65.1,155.0,datasette,conda-forge/datasette,,,,1868.0,1429.0,https://pypi.org/project/datasette,2025-02-06 19:19:13.000,439.0,215740.0,216929.0,https://anaconda.org/conda-forge/datasette,2024-11-30 17:36:40.595,54677.0,,,,,2.0,70.0,,,,,,,,,datasette,,,,,,,,,,
+137,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2025-02-20 13:58:22.000000,2025-02-20 06:03:02,40306.0,443.0,928.0,157.0,11333.0,1089.0,5720.0,8692.0,cuDF - GPU DataFrame Library.,299.0,35,True,2024-12-11 19:11:01.000,24.12.00,59.0,cudf,,,,,81.0,59.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3611.0,3611.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+138,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2025-02-20 01:24:30.000000,2025-02-19 23:15:37,1196.0,94.0,794.0,295.0,1592.0,322.0,440.0,8546.0,Open Source AI/ML Platform.,101.0,35,True,2025-02-11 19:31:35.000,2.14.0,175.0,metaflow,conda-forge/metaflow,,,,854.0,804.0,https://pypi.org/project/metaflow,2025-02-11 19:31:35.000,50.0,282924.0,287795.0,https://anaconda.org/conda-forge/metaflow,2025-02-19 23:20:26.635,267947.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+139,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2025-02-20 08:36:57.000000,2025-02-20 08:16:56,3474.0,104.0,810.0,75.0,3858.0,161.0,943.0,7388.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",224.0,35,True,2025-02-20 08:36:57.000,1.4.0,180.0,bentoml,,,,,2450.0,2416.0,https://pypi.org/project/bentoml,2025-02-20 08:36:57.000,34.0,99860.0,99874.0,,,,,,,,2.0,537.0,,,,,,,,,,,,,,,,,,,
+140,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2025-01-26 21:43:16.496000,2025-01-26 15:57:33,1660.0,3.0,876.0,115.0,541.0,148.0,347.0,4969.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,112.0,35,True,2025-01-26 16:02:43.000,0.23.4,55.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],17880.0,17683.0,https://pypi.org/project/mlxtend,2025-01-26 16:02:43.000,197.0,675358.0,681607.0,https://anaconda.org/conda-forge/mlxtend,2025-01-26 21:43:16.496,343741.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+141,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2025-02-20 01:04:20.000000,2025-02-20 00:33:28,2457.0,27.0,230.0,63.0,147.0,79.0,622.0,4131.0,A Grammar of Graphics for Python.,112.0,35,True,2025-01-02 11:19:20.000,0.14.5,33.0,plotnine,conda-forge/plotnine,,,,10842.0,10507.0,https://pypi.org/project/plotnine,2025-01-02 11:06:03.000,335.0,2816628.0,2824525.0,https://anaconda.org/conda-forge/plotnine,2025-01-02 11:25:13.146,442245.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+142,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2025-02-20 14:43:15.000000,2025-01-30 15:49:13,8651.0,33.0,719.0,101.0,13421.0,45.0,867.0,3915.0,State of the Art Natural Language Processing.,114.0,35,True,2025-01-30 16:15:18.000,5.5.3,151.0,spark-nlp,,,,['spark'],595.0,558.0,https://pypi.org/project/spark-nlp,2025-01-30 15:03:13.000,37.0,4250305.0,4250305.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+143,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2025-02-20 11:34:45.000000,2025-02-18 14:09:25,2328.0,8.0,675.0,73.0,2928.0,277.0,730.0,2605.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",230.0,35,True,2025-01-29 17:29:44.000,2.6.0,40.0,torchaudio,,,,['pytorch'],1618.0,,https://pypi.org/project/torchaudio,2025-01-29 16:29:43.000,1618.0,7724257.0,7724257.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+144,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2025-02-19 21:41:32.000000,2025-02-19 21:41:32,5058.0,49.0,1102.0,147.0,1406.0,63.0,753.0,1938.0,Documentation and samples for ArcGIS API for Python.,96.0,35,True,2024-09-24 16:57:38.000,2.4.0,50.0,arcgis,,esridocker/arcgis-api-python-notebook,,,944.0,904.0,https://pypi.org/project/arcgis,2024-10-01 15:35:29.000,40.0,80945.0,81082.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,13921.0,,,,,,,,,,,,,,,,,,,
+145,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2025-01-24 20:08:29.000000,2025-01-24 20:08:27,3132.0,13.0,366.0,56.0,1226.0,313.0,995.0,1464.0,Cartopy - a cartographic python library with matplotlib support.,130.0,35,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,7344.0,6626.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,429124.0,508410.0,https://anaconda.org/conda-forge/cartopy,2024-10-07 23:20:51.384,4519304.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+146,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/uxlfoundation/scikit-learn-intelex,https://github.com/uxlfoundation/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2025-02-19 12:53:21.000000,2025-02-17 22:49:54,2031.0,99.0,180.0,26.0,2024.0,53.0,197.0,1252.0,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,84.0,35,True,2025-02-18 08:57:25.000,2025.2.0,34.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],13092.0,13033.0,https://pypi.org/project/scikit-learn-intelex,2025-02-18 08:57:25.000,59.0,69362.0,79356.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2025-02-13 10:52:29.258,459728.0,,,,,1.0,,,,,,,,uxlfoundation/scikit-learn-intelex,,,,,,,,,,,,
+147,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2025-01-29 12:26:42.819000,2025-01-29 06:25:33,1561.0,4.0,154.0,41.0,132.0,4.0,645.0,1178.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,35,True,2025-01-29 06:24:06.000,1.13.0,38.0,agate,conda-forge/agate,,,,4549.0,4495.0,https://pypi.org/project/agate,2025-01-29 06:24:06.000,54.0,14632605.0,14639176.0,https://anaconda.org/conda-forge/agate,2025-01-29 12:26:42.819,295706.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+148,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2025-02-10 07:22:20.000000,2025-01-07 22:13:12,1570.0,2.0,207.0,47.0,632.0,34.0,777.0,1175.0,Fiona reads and writes geographic data files.,77.0,35,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,24888.0,24505.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,383.0,4281311.0,4400735.0,https://anaconda.org/conda-forge/fiona,2024-12-06 18:05:16.036,6568370.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,,
+149,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2025-01-18 11:58:21.000000,2025-01-18 11:58:21,15079.0,18.0,530.0,51.0,2335.0,420.0,970.0,761.0,Workflows and interfaces for neuroimaging packages.,263.0,35,True,2024-12-17 18:04:58.000,1.9.2,67.0,nipype,conda-forge/nipype,,,,5977.0,5825.0,https://pypi.org/project/nipype,2024-12-17 18:04:58.000,152.0,278002.0,292120.0,https://anaconda.org/conda-forge/nipype,2024-12-18 13:52:44.972,762422.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,,
+150,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2025-01-14 01:45:38.000000,2025-01-14 01:41:14,1540.0,3.0,7505.0,392.0,697.0,542.0,3083.0,31255.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",277.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],2300.0,2287.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,11048.0,https://anaconda.org/conda-forge/detectron2,2024-11-06 15:19:24.704,607684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+151,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-06-12 09:44:40.000000,2024-03-13 15:16:33,391.0,,4719.0,846.0,268.0,555.0,611.0,26072.0,Library for fast text representation and classification.,68.0,34,True,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,7516.0,7269.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1387531.0,1389852.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,123044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+152,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2025-02-12 19:06:16.000000,2025-01-19 03:16:46,9035.0,11.0,3156.0,276.0,1311.0,158.0,718.0,19800.0,Best Practices on Recommendation Systems.,137.0,34,True,2024-12-24 07:39:57.000,1.2.1,14.0,recommenders,,,,,155.0,151.0,https://pypi.org/project/recommenders,2024-12-24 07:18:07.000,4.0,18523.0,18532.0,,,,,,,,1.0,680.0,,,,,,,recommenders-team/recommenders,,,,,,,,,,,,
+153,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-09-05 05:37:11.713000,2024-07-29 00:37:39,894.0,,1182.0,318.0,270.0,64.0,345.0,13504.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,34,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4963.0,4762.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,826961.0,839159.0,https://anaconda.org/conda-forge/python-annoy,2024-09-05 05:37:11.713,646511.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+154,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-12-02 14:23:48.392000,2024-11-10 14:19:33,580.0,,2325.0,219.0,260.0,130.0,419.0,10295.0,A little word cloud generator in Python.,72.0,34,True,2024-11-10 14:34:59.000,1.9.4,21.0,wordcloud,conda-forge/wordcloud,,,,567.0,21.0,https://pypi.org/project/wordcloud,2024-11-10 14:34:59.000,546.0,1717376.0,1728840.0,https://anaconda.org/conda-forge/wordcloud,2024-12-02 14:23:48.392,630567.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+155,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2025-02-07 15:40:41.000000,2025-02-07 15:37:42,1203.0,11.0,1318.0,150.0,184.0,277.0,1372.0,9050.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,155.0,34,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],1151.0,1137.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,4753.0,9407.0,https://anaconda.org/pytorch3d/pytorch3d,2024-09-13 14:58:15.228,293254.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+156,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2025-02-14 16:54:04.000000,2025-02-14 16:54:02,6249.0,60.0,1201.0,123.0,1789.0,104.0,754.0,8814.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",98.0,34,True,2025-02-10 05:23:05.000,3.3.4,146.0,perspective-python,conda-forge/perspective,,,['jupyter'],197.0,163.0,https://pypi.org/project/perspective-python,2025-02-10 05:21:24.000,28.0,15024.0,49443.0,https://anaconda.org/conda-forge/perspective,2025-02-10 14:14:44.273,1861563.0,,,,,2.0,8990.0,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2025-02-10 05:20:17.687,6.0,704.0,,,,,,,,,,,,,,
+157,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2025-01-15 18:30:46.000000,2025-01-01 16:22:53,542.0,13.0,862.0,84.0,292.0,81.0,376.0,7914.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,34,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,54361.0,53736.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,2520744.0,2543643.0,https://anaconda.org/conda-forge/tensorboardx,2024-12-20 17:16:01.349,1259205.0,,,,,2.0,456.0,,,,,,,,,,,,,,,,,,,
+158,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2025-02-14 02:21:16.000000,2024-12-24 06:19:04,4785.0,49.0,895.0,140.0,504.0,94.0,822.0,7372.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",69.0,34,True,2024-12-29 06:54:23.000,1.10.1,30.0,stanza,stanfordnlp/stanza,,,,3711.0,3515.0,https://pypi.org/project/stanza,2024-12-24 06:07:22.000,196.0,298178.0,298321.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,8444.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+159,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2025-02-20 12:50:27.000000,2025-02-20 12:10:11,32592.0,39.0,2004.0,385.0,6942.0,2850.0,6708.0,7041.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",273.0,34,True,,,156.0,h2o,,,,,70.0,21.0,https://pypi.org/project/h2o,2024-11-02 07:09:16.000,49.0,191033.0,191033.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+160,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2025-02-17 17:20:59.000000,2024-12-23 16:42:41,883.0,14.0,1289.0,142.0,519.0,48.0,571.0,6919.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,86.0,34,True,2024-12-20 18:36:46.000,0.13.0,39.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],476.0,,https://pypi.org/project/imbalanced-learn,2024-12-20 16:50:20.000,476.0,13061608.0,13073483.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-12-20 17:56:21.144,665012.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+161,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2025-02-17 15:55:26.000000,2025-02-17 15:55:26,3624.0,127.0,737.0,146.0,133.0,104.0,355.0,6390.0,Fit interpretable models. Explain blackbox machine learning.,48.0,34,True,2025-01-06 17:00:17.000,0.6.9,57.0,interpret,,,,['jupyter'],882.0,832.0,https://pypi.org/project/interpret,2025-01-06 16:54:25.000,50.0,165172.0,165172.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+162,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-12-11 19:23:54.000000,2024-12-11 19:01:35,1284.0,19.0,657.0,61.0,145.0,74.0,451.0,6089.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",46.0,34,True,2024-12-11 19:23:54.000,2.8.1,215.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],2400.0,2345.0,https://pypi.org/project/pytorch-metric-learning,2024-12-11 19:21:13.000,55.0,602980.0,603184.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,12483.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+163,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2025-01-09 20:54:46.560000,2025-01-09 14:42:49,2349.0,8.0,1123.0,190.0,242.0,279.0,288.0,5976.0,Distributed Evolutionary Algorithms in Python.,90.0,34,False,2025-01-09 14:08:44.000,1.4.2,28.0,deap,conda-forge/deap,,,,6110.0,5850.0,https://pypi.org/project/deap,2025-01-09 14:08:44.000,260.0,214947.0,224691.0,https://anaconda.org/conda-forge/deap,2025-01-09 20:54:46.560,506728.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,,
+164,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2025-02-10 22:16:25.000000,2025-02-10 17:59:21,10586.0,29.0,1746.0,143.0,2571.0,698.0,1244.0,5757.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",255.0,34,True,2024-04-03 16:21:23.000,2.8.0,974.0,deepchem,conda-forge/deepchem,,,['tensorflow'],533.0,517.0,https://pypi.org/project/deepchem,2025-02-10 22:16:25.000,16.0,32578.0,34603.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,113426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+165,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2025-02-19 15:01:23.000000,2025-02-19 00:35:45,30599.0,64.0,1633.0,185.0,2254.0,28.0,1623.0,5258.0,"mlpack: a fast, header-only C++ machine learning library.",328.0,34,True,2024-12-11 15:13:47.000,4.5.1,49.0,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2024-12-11 15:13:47.000,6.0,5275.0,11154.0,https://anaconda.org/conda-forge/mlpack,2024-09-22 00:54:14.076,329247.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+166,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2025-02-20 02:50:55.000000,2025-02-20 02:35:10,1256.0,45.0,503.0,286.0,948.0,249.0,344.0,5084.0,Model interpretability and understanding for PyTorch.,125.0,34,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2994.0,2868.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,126.0,252641.0,255617.0,https://anaconda.org/conda-forge/captum,2025-01-14 21:40:27.551,113111.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+167,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2025-02-20 07:44:13.000000,2025-02-04 17:03:04,12556.0,85.0,1181.0,100.0,1437.0,22.0,883.0,5063.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",141.0,34,True,2025-01-22 10:09:43.000,1.19.1,63.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,684.0,664.0,https://pypi.org/project/adversarial-robustness-toolbox,2025-01-22 09:57:58.000,20.0,26018.0,27192.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2025-01-22 16:39:28.238,64618.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+168,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2025-02-20 00:19:02.000000,2025-02-17 23:25:48,1752.0,16.0,634.0,59.0,1902.0,157.0,1277.0,4586.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,779.0,34,True,2024-08-13 12:47:02.000,0.5.1,1895.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],3651.0,3547.0,https://pypi.org/project/pytorch-ignite,2025-02-20 00:19:02.000,104.0,104406.0,107130.0,https://anaconda.org/pytorch/ignite,2024-08-13 12:46:51.642,217981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+169,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2025-02-18 23:16:11.745000,2025-02-18 19:13:34,1362.0,20.0,300.0,41.0,513.0,107.0,255.0,4147.0,Lightning fast forecasting with statistical and econometric models.,50.0,34,True,2025-02-18 19:42:02.000,2.0.1,39.0,statsforecast,conda-forge/statsforecast,,,,1520.0,1452.0,https://pypi.org/project/statsforecast,2025-02-18 19:42:02.000,68.0,943357.0,947818.0,https://anaconda.org/conda-forge/statsforecast,2025-02-18 23:16:11.745,156157.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+170,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2025-02-17 16:03:00.000000,2025-02-17 16:02:58,1554.0,22.0,370.0,92.0,801.0,142.0,458.0,3379.0,Quickly and accurately render even the largest data.,61.0,34,True,2025-01-30 19:45:38.000,0.17.0,54.0,datashader,conda-forge/datashader,,,,5743.0,5513.0,https://pypi.org/project/datashader,2025-01-29 19:18:56.000,230.0,171440.0,194917.0,https://anaconda.org/conda-forge/datashader,2025-01-30 07:44:42.049,1338240.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+171,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2025-02-19 04:54:13.000000,2025-02-19 04:51:23,2127.0,69.0,413.0,51.0,1882.0,76.0,498.0,3176.0,Bayesian optimization in PyTorch.,138.0,34,True,2025-02-03 16:52:59.000,0.13.0,48.0,botorch,conda-forge/botorch,,,['pytorch'],1443.0,1343.0,https://pypi.org/project/botorch,2025-02-03 16:52:59.000,100.0,222713.0,225336.0,https://anaconda.org/conda-forge/botorch,2025-02-04 22:12:32.353,141690.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+172,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2025-02-08 16:12:04.000000,2025-02-08 16:12:04,1069.0,19.0,505.0,57.0,154.0,359.0,173.0,2859.0,A high performance implementation of HDBSCAN clustering.,96.0,34,True,2024-11-18 16:14:10.000,0.8.40,57.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],5169.0,4817.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,606766.0,652410.0,https://anaconda.org/conda-forge/hdbscan,2024-10-12 13:49:18.321,2373502.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+173,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2025-01-17 09:25:52.000000,2024-12-11 13:00:06,5345.0,1.0,278.0,78.0,799.0,18.0,133.0,2829.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",66.0,34,True,2025-01-13 12:46:58.000,8.3.4,243.0,thinc,conda-forge/thinc,,,,61186.0,61034.0,https://pypi.org/project/thinc,2025-01-13 12:46:58.000,152.0,10675237.0,10734878.0,https://anaconda.org/conda-forge/thinc,2024-12-03 05:26:04.520,3399100.0,,,,,2.0,841.0,,,,,,,,,,,,,,,,,,,
+174,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2025-02-19 15:22:31.000000,2025-02-19 15:21:45,5396.0,45.0,565.0,20.0,1502.0,1164.0,718.0,2379.0,"This is the development home of the workflow management system Snakemake. For general information, see.",350.0,34,True,2025-02-12 13:56:50.000,8.28.0,377.0,snakemake,bioconda/snakemake,,,,2514.0,2250.0,https://pypi.org/project/snakemake,2025-02-12 13:56:50.000,264.0,64295.0,76039.0,https://anaconda.org/bioconda/snakemake,2025-02-12 14:57:41.841,1315416.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+175,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2025-02-02 17:31:04.000000,2025-02-02 17:30:59,1879.0,5.0,200.0,33.0,215.0,26.0,404.0,1432.0,The ctypes-based simple ImageMagick binding for Python.,109.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,20617.0,20360.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,1023469.0,1025742.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,104638.0,,,,,2.0,51625.0,,,,,,,,,,,,,,,,,,,
+176,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2025-02-19 20:44:02.000000,2025-02-19 20:43:59,11652.0,47.0,249.0,54.0,12386.0,268.0,2226.0,996.0,Cloud-native genomic dataframes and batch computing.,97.0,34,True,2024-10-04 20:34:16.000,0.2.133,155.0,hail,,,,['spark'],193.0,159.0,https://pypi.org/project/hail,2024-10-04 20:34:16.000,34.0,107914.0,107914.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+177,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2025-02-11 10:20:23.000000,2025-02-11 10:20:23,586.0,15.0,104.0,35.0,75.0,72.0,84.0,964.0,Describing statistical models in Python using symbolic formulas.,22.0,34,True,2024-11-12 14:10:52.000,1.0.1,15.0,patsy,conda-forge/patsy,,,,116723.0,116190.0,https://pypi.org/project/patsy,2024-11-12 14:10:52.000,533.0,14875745.0,15221436.0,https://anaconda.org/conda-forge/patsy,2024-12-10 01:03:13.551,14173346.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+178,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2025-02-20 14:03:31.000000,2025-02-20 14:02:00,7949.0,1035.0,3123.0,273.0,8225.0,138.0,725.0,28066.0,You like pytorch? You like micrograd? You love tinygrad!.,375.0,33,True,2025-02-05 03:26:55.000,0.10.1,10.0,,,,,['pytorch'],165.0,165.0,,,,,,,,,,,,,1.0,,,,,,,,tinygrad/tinygrad,,,,,,,,,,,,
+179,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,MulanPSL-1.0,2018-08-02 17:56:45.000,2025-02-20 14:04:01.000000,2025-02-20 13:18:55,19079.0,212.0,4903.0,395.0,5880.0,152.0,4026.0,27228.0,AGIs query engine - Platform for building AI that can learn and answer questions over federated data.,868.0,33,False,2025-02-18 14:45:06.000,25.2.3.0,523.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2025-02-18 14:46:51.000,,15395.0,15395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+180,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2025-01-24 14:14:40.000000,2025-01-24 14:14:40,538.0,5.0,2880.0,389.0,126.0,239.0,561.0,26393.0,Deezer source separation library including pretrained models.,22.0,33,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],912.0,900.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,12.0,24129.0,84819.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,103712.0,,,,,2.0,3778829.0,,,,,,,,,,,,,,,,,,,
+181,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-09-03 21:17:43.000000,2021-11-17 17:52:52,3466.0,,3992.0,676.0,1679.0,150.0,1986.0,25893.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],523.0,499.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,10369.0,26566.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,3566.0,,,,,2.0,1240878.0,,,,,,,,,,,,,,,,,,,
+182,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2025-02-20 14:54:28.000000,2025-02-17 10:00:26,3910.0,366.0,1489.0,129.0,4339.0,348.0,1082.0,21984.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",131.0,33,True,2025-02-17 12:53:02.000,1.13.4,95.0,,,,,,116.0,116.0,,,,,7197.0,,,,,,,,2.0,331092.0,,,,,,,,,,,,,,,,,,,
+183,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-10-28 18:51:40.000000,2024-10-20 08:37:57,818.0,,4535.0,450.0,469.0,434.0,1738.0,18886.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,183.0,33,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,166511.0,196406.0,https://anaconda.org/conda-forge/prophet,2024-10-04 13:02:12.277,1373797.0,,,,,1.0,2929.0,,,,,,,,,,,,,,,,,,,
+184,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3508.0,471.0,671.0,590.0,672.0,15848.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1541.0,1527.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,9417.0,9417.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+185,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-12-21 10:45:53.176000,2021-07-29 23:17:25,531.0,,1811.0,262.0,118.0,120.0,535.0,11763.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,7666.0,7463.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,184091.0,188527.0,https://anaconda.org/conda-forge/lime,2024-12-21 10:45:53.176,248416.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+186,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2025-02-17 04:09:00.000000,2024-12-25 06:44:36,2948.0,3.0,1687.0,92.0,1708.0,21.0,2144.0,8867.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,33,True,2024-11-05 11:28:52.000,2.10.0,20.0,paddleseg,,,,['paddle'],1379.0,1372.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1965.0,1965.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+187,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2025-02-11 01:19:20.701000,2024-11-29 15:34:40,1865.0,5.0,819.0,127.0,291.0,494.0,343.0,7633.0,Uniform Manifold Approximation and Projection.,138.0,33,True,2024-10-28 18:05:55.000,0.5.7,41.0,umap-learn,conda-forge/umap-learn,,,,1061.0,1.0,https://pypi.org/project/umap-learn,2024-10-28 18:05:55.000,1060.0,1707534.0,1758292.0,https://anaconda.org/conda-forge/umap-learn,2025-02-11 01:19:20.701,2842489.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+188,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2025-02-20 02:31:41.000000,2025-02-20 01:55:57,3294.0,10.0,972.0,137.0,678.0,61.0,1176.0,7387.0,Python library for audio and music analysis.,125.0,33,True,2024-05-14 15:48:50.000,0.10.2.post1,44.0,librosa,conda-forge/librosa,,,,1589.0,,https://pypi.org/project/librosa,2025-02-11 15:12:43.000,1589.0,2845114.0,2860775.0,https://anaconda.org/conda-forge/librosa,2024-12-19 14:28:40.998,861387.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+189,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2025-02-04 00:03:50.000000,2024-12-27 12:36:14,1223.0,2.0,1051.0,121.0,279.0,143.0,576.0,7348.0,Distributed Asynchronous Hyperparameter Optimization in Python.,105.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,19720.0,19267.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2202231.0,2217919.0,https://anaconda.org/conda-forge/hyperopt,2024-12-20 15:53:47.629,815816.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+190,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2025-01-08 20:49:58.000000,2024-06-27 17:56:21,2895.0,,2243.0,177.0,1153.0,27.0,1429.0,6823.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,191.0,33,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],334.0,311.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,16153.0,16153.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+191,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2024-12-28 18:33:37.609000,2023-08-06 00:30:36,2944.0,,1811.0,195.0,206.0,13.0,1343.0,6304.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,33,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1694.0,1676.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,14168.0,14484.0,https://anaconda.org/conda-forge/tensorpack,2024-12-28 18:33:37.609,12577.0,,,,,2.0,187.0,,,,,,,,,,,,,,,,,,,
+192,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2025-02-04 13:00:19.000000,2025-02-04 13:00:15,1110.0,15.0,392.0,81.0,553.0,66.0,466.0,5965.0,A scikit-learn compatible neural network library that wraps PyTorch.,66.0,33,True,2025-01-10 13:04:37.000,1.1.0,21.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1632.0,1538.0,https://pypi.org/project/skorch,2025-01-10 13:01:10.000,94.0,100725.0,115701.0,https://anaconda.org/conda-forge/skorch,2025-01-11 10:57:22.047,793760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+193,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1368.0,281.0,6588.0,12.0,2032.0,5905.0,A flexible framework of neural networks for deep learning.,326.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3435.0,3377.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,10608.0,10969.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,21695.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+194,ClearML,allegroai/clearml,ml-experiments,,https://github.com/clearml/clearml,https://github.com/clearml/clearml,Apache-2.0,2019-06-10 08:18:32.000,2025-02-18 13:30:31.000000,2025-02-18 13:30:27,2480.0,36.0,661.0,96.0,280.0,502.0,579.0,5834.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",102.0,33,True,2025-01-19 14:13:46.000,1.17.1,177.0,clearml,,allegroai/trains,,,1638.0,1585.0,https://pypi.org/project/clearml,2025-02-05 07:58:27.000,53.0,379918.0,380410.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30361.0,2.0,3113.0,,,,,,,clearml/clearml,,,,,,,,,,,,
+195,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-12-16 09:41:32.291000,2023-11-23 21:41:49,1136.0,,648.0,90.0,273.0,42.0,253.0,4572.0,Geocoding library for Python.,133.0,33,False,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,6528127.0,6556259.0,https://anaconda.org/conda-forge/geopy,2024-12-16 09:41:32.291,1575361.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,,
+196,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2025-02-17 10:40:00.000000,2025-02-17 08:29:41,3623.0,67.0,407.0,31.0,3438.0,49.0,2151.0,4332.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,111.0,33,True,2025-02-06 14:33:25.000,2.7.1,100.0,rubrix,conda-forge/rubrix,,,,2908.0,2908.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,3761.0,4865.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,41961.0,,,,,2.0,,,,,,,,argilla-io/argilla,,,,,,,,,,,,
+197,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2025-02-13 19:16:44.000000,2025-02-13 19:16:44,3887.0,7.0,870.0,55.0,1730.0,429.0,1273.0,4327.0,"Serve, optimize and scale PyTorch models in production.",218.0,33,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],839.0,817.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,22.0,56607.0,86567.0,https://anaconda.org/pytorch/torchserve,2024-09-30 18:57:10.837,463748.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,31.0,1397419.0,2.0,7622.0,,,,,,,,,,,,,,,,,,,
+198,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2025-02-19 08:05:33.000000,2024-12-05 17:02:46,1132.0,12.0,355.0,58.0,1408.0,123.0,185.0,4002.0,A Python toolbox for performing gradient-free optimization.,57.0,33,True,2024-12-01 08:46:15.000,1.0.8,51.0,nevergrad,conda-forge/nevergrad,,,,900.0,838.0,https://pypi.org/project/nevergrad,2024-12-01 08:46:15.000,62.0,111911.0,112943.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,58849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+199,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2025-02-20 11:34:50.000000,2024-08-14 20:32:21,1311.0,,812.0,324.0,1472.0,332.0,519.0,3526.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,33,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,610094.0,610094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+200,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2025-01-22 17:09:23.000000,2025-01-22 17:09:23,7406.0,4.0,621.0,116.0,1197.0,371.0,1117.0,3375.0,High-performance interactive 2D/3D data visualization library.,200.0,33,True,2024-06-17 12:39:47.000,0.14.3,39.0,vispy,conda-forge/vispy,,,['jupyter'],2042.0,1866.0,https://pypi.org/project/vispy,2024-06-17 12:32:22.000,173.0,112861.0,126934.0,https://anaconda.org/conda-forge/vispy,2024-09-04 12:47:04.775,744170.0,,,,,2.0,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,33.0,,,,,,,,,,,,,,
+201,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2025-02-18 15:48:59.000000,2025-02-18 15:48:58,3099.0,65.0,717.0,76.0,999.0,297.0,677.0,2831.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",135.0,33,True,2024-08-09 17:03:45.000,0.1.26,26.0,pgmpy,,,,,1448.0,1395.0,https://pypi.org/project/pgmpy,2024-08-09 16:48:04.000,53.0,79485.0,79495.0,,,,,,,,2.0,591.0,,,,,,,,,,,,,,,,,,,
+202,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-12-19 01:31:07.889000,2024-10-29 11:59:38,2311.0,,559.0,69.0,487.0,267.0,713.0,2410.0,Survival analysis in Python.,120.0,33,True,2024-10-29 12:00:41.000,0.30.0,172.0,lifelines,conda-forge/lifelines,,,,3575.0,3414.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,2646150.0,2653196.0,https://anaconda.org/conda-forge/lifelines,2024-12-19 01:31:07.889,401639.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+203,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2025-02-15 09:27:40.000000,2025-02-15 09:27:37,973.0,17.0,152.0,24.0,453.0,168.0,330.0,2239.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,61.0,33,True,2024-12-24 12:08:00.000,0.11.11,55.0,equinox,,,,['jax'],1208.0,1008.0,https://pypi.org/project/equinox,2024-12-24 12:07:52.000,200.0,1292030.0,1292030.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+204,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-12-31 03:17:58.000000,2024-12-31 03:17:57,575.0,8.0,160.0,43.0,85.0,6.0,137.0,2097.0,a python library for doing approximate and phonetic matching of strings.,34.0,33,True,2024-12-14 19:43:04.000,1.1.3,46.0,jellyfish,conda-forge/jellyfish,,,,13028.0,12752.0,https://pypi.org/project/jellyfish,2024-12-14 19:43:04.000,276.0,6128379.0,6150699.0,https://anaconda.org/conda-forge/jellyfish,2024-12-17 14:25:05.549,1249950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+205,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2025-02-09 12:28:41.000000,2025-02-09 12:28:40,3776.0,12.0,193.0,48.0,1408.0,134.0,746.0,2018.0,Ahead of Time compiler for numeric kernels.,73.0,33,True,2024-10-31 09:34:16.000,0.17.0,62.0,pythran,conda-forge/pythran,,,,3147.0,3126.0,https://pypi.org/project/pythran,2024-10-31 09:34:16.000,21.0,320840.0,340728.0,https://anaconda.org/conda-forge/pythran,2024-11-23 00:50:33.170,1054092.0,,,,,2.0,,,,,,,,,,,,,,pythran,python-pythran,,,,,
+206,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-12-20 08:51:20.189000,2018-10-12 15:53:05,1251.0,,284.0,50.0,160.0,114.0,220.0,1633.0,Python Geocoder.,75.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,13594.0,13382.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,830853.0,910635.0,https://anaconda.org/conda-forge/geocoder,2024-12-20 08:51:20.189,159565.0,,,,,2.0,,,,,,,,,,,,,,,,geocoder,,,,
+207,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2025-02-13 10:34:43.000000,2025-02-13 10:34:40,2942.0,13.0,251.0,36.0,235.0,48.0,515.0,1345.0,Python interface for igraph.,78.0,33,False,2024-10-28 12:53:42.000,0.11.8,43.0,python-igraph,conda-forge/igraph,,,,4751.0,4345.0,https://pypi.org/project/python-igraph,2024-10-28 12:53:42.000,406.0,212060.0,230999.0,https://anaconda.org/conda-forge/igraph,2024-12-13 22:28:15.458,710682.0,,,,,1.0,566369.0,,,,,,,,,,,,,,,,,,,
+208,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2025-02-20 13:23:17.000000,2025-02-20 13:23:16,3803.0,36.0,4436.0,393.0,4275.0,447.0,1278.0,40015.0,"Making large AI models cheaper, faster and more accessible.",193.0,32,True,2025-02-20 03:37:37.000,0.4.8,48.0,,,,,,470.0,470.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+209,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2025-01-17 12:10:25.000000,2025-01-17 12:10:18,1423.0,1.0,3739.0,749.0,1142.0,417.0,589.0,19353.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,32,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],561.0,556.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,11385.0,11385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+210,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4706.0,1020.0,1869.0,363.0,658.0,18090.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1032.0,1022.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,3295.0,3477.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,9680.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+211,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2025-02-17 21:35:04.000000,2024-10-17 22:52:09,3861.0,,1193.0,194.0,2870.0,45.0,1037.0,11331.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,32,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,,['tensorflow'],299.0,293.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,2116.0,2116.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+212,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1137.0,340.0,1683.0,523.0,1294.0,11201.0,Turi Create simplifies the development of custom machine learning models.,88.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,391.0,386.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,30679.0,30811.0,,,,,,,,3.0,11402.0,,,,,,,,,,,,,,,,,,,
+213,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2091.0,280.0,3401.0,51.0,1494.0,10502.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,218.0,32,False,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],274.0,265.0,https://pypi.org/project/parlai,2023-06-06 20:46:16.091,9.0,2998.0,2998.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+214,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2025-02-11 19:15:18.000000,2024-02-23 19:03:07,2440.0,,1572.0,288.0,434.0,298.0,639.0,9842.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,32,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],3264.0,3226.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,38.0,41859.0,46980.0,https://anaconda.org/conda-forge/tpot,2025-01-02 20:27:51.226,286789.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+215,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2025-02-14 11:42:03.000000,2025-02-14 11:41:58,869.0,3.0,1299.0,422.0,93.0,32.0,161.0,9817.0,TensorFlow-based neural network library.,61.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1408.0,1389.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,20591.0,21216.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,39401.0,,,,,3.0,,,,,,,,google-deepmind/sonnet,,,,,,,,,,,,
+216,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2024-12-17 13:39:23.257000,2021-09-09 20:54:41,384.0,,876.0,261.0,148.0,107.0,104.0,9245.0,Fuzzy String Matching in Python.,70.0,32,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,7738060.0,7749490.0,https://anaconda.org/conda-forge/fuzzywuzzy,2024-12-17 13:39:23.257,582957.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+217,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2025-02-16 19:30:38.000000,2025-02-16 19:30:37,2502.0,6.0,987.0,199.0,2334.0,261.0,849.0,8661.0,Deep universal probabilistic programming with Python and PyTorch.,159.0,32,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,331034.0,335723.0,https://anaconda.org/conda-forge/pyro-ppl,2024-12-18 15:30:29.916,220405.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+218,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2025-02-16 19:07:52.637000,2025-02-16 16:07:41,570.0,7.0,1221.0,171.0,446.0,70.0,476.0,8577.0,Automatic extraction of relevant features from time series:.,99.0,32,True,2025-02-16 16:10:09.000,0.21.0,33.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],121.0,21.0,https://pypi.org/project/tsfresh,2025-02-16 16:10:09.000,100.0,244590.0,269563.0,https://anaconda.org/conda-forge/tsfresh,2025-02-16 19:07:52.637,1423491.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+219,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-11-27 22:22:10.016000,2024-08-01 18:55:53,10421.0,,1925.0,349.0,3432.0,134.0,1142.0,8523.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,32,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,41.0,1.0,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,38209.0,44401.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-11-27 22:22:10.016,322033.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+220,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2025-02-19 16:04:44.000000,2025-02-19 16:04:39,1297.0,31.0,912.0,63.0,1075.0,251.0,1384.0,8337.0,A python library for user-friendly forecasting and anomaly detection on time series.,131.0,32,True,2025-02-14 18:02:21.000,0.33.0,46.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,10.0,,https://pypi.org/project/u8darts,2025-02-14 18:02:21.000,10.0,85214.0,86877.0,https://anaconda.org/conda-forge/u8darts-all,2024-12-21 20:33:58.556,70889.0,https://hub.docker.com/r/unit8/darts,2025-02-14 17:57:02.406555,,1192.0,2.0,,,,,,,,,,,,,,,,,,,,
+221,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2025-01-02 00:15:54.000000,2024-12-27 08:12:38,393.0,7.0,1550.0,130.0,174.0,7.0,365.0,8083.0,A Python implementation of global optimization with gaussian processes.,47.0,32,True,2024-12-23 09:51:44.000,2.0.3,21.0,bayesian-optimization,,,,,3489.0,3335.0,https://pypi.org/project/bayesian-optimization,2024-12-27 08:24:39.000,154.0,344546.0,344547.0,,,,,,,,2.0,171.0,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,
+222,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2025-02-17 19:03:41.000000,2024-11-13 18:39:43,1380.0,,878.0,160.0,1734.0,154.0,865.0,7368.0,An open source python library for automated feature engineering.,74.0,32,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1987.0,1913.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,61641.0,65789.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,232315.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+223,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel/ipex-llm,https://github.com/intel/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2025-02-20 08:27:23.000000,2025-02-20 08:27:23,3958.0,271.0,1305.0,256.0,10103.0,1064.0,1688.0,7232.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM,..",115.0,32,True,2024-08-22 09:06:57.000,2.1.0,869.0,bigdl,,,,,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,8989.0,9017.0,,,,,,,,2.0,2622.0,,,,,,,intel/ipex-llm,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0
+224,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2025-02-18 23:54:55.000000,2025-02-18 23:54:52,234.0,25.0,1122.0,202.0,183.0,150.0,347.0,6447.0,Official Kaggle API.,49.0,32,True,2024-07-24 19:08:19.000,1.6.17,75.0,kaggle,conda-forge/kaggle,,,,247.0,21.0,https://pypi.org/project/kaggle,2025-02-06 22:53:15.000,226.0,252610.0,256613.0,https://anaconda.org/conda-forge/kaggle,2025-01-13 01:41:02.190,212160.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+225,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2025-02-13 20:18:21.000000,2025-02-13 20:18:21,254.0,4.0,930.0,128.0,42.0,75.0,148.0,5777.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,22.0,32,True,2024-11-21 20:20:09.000,0.2.5,9.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],4665.0,4549.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,873084.0,873434.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,19954.0,,,,,1.0,,,,,,,,,2.0,,,,,,,,,,,
+226,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2025-02-19 20:02:14.000000,2025-02-18 12:29:53,2243.0,23.0,329.0,44.0,2222.0,383.0,670.0,5360.0,Aim An easy-to-use & supercharged open-source experiment tracker.,80.0,32,True,2024-12-18 16:58:41.000,3.27.0,1199.0,aim,conda-forge/aim,,,,852.0,811.0,https://pypi.org/project/aim,2025-02-17 20:10:55.000,41.0,186787.0,189336.0,https://anaconda.org/conda-forge/aim,2024-06-14 16:22:37.168,109641.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+227,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2025-02-03 07:53:39.000000,2025-02-03 07:50:01,3947.0,30.0,552.0,84.0,640.0,122.0,500.0,5199.0,Online machine learning in Python.,124.0,32,True,2024-11-25 23:59:25.000,0.22.0,23.0,river,conda-forge/river,,,,708.0,644.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,83481.0,85701.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,102147.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+228,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2025-01-28 10:36:54.706000,2022-01-27 13:24:16,139.0,,1026.0,150.0,116.0,162.0,79.0,4553.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,32,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,50044.0,49609.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,460068.0,464069.0,https://anaconda.org/conda-forge/imutils,2025-01-28 10:36:54.706,220060.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+229,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-12-16 16:44:42.000000,2024-12-16 16:44:42,1305.0,4.0,2506.0,1939.0,540.0,390.0,1078.0,4147.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,32,True,2024-10-16 17:44:34.000,1.58.0,106.0,azureml-sdk,,,,,31.0,,https://pypi.org/project/azureml-sdk,2024-12-10 14:48:18.000,31.0,402517.0,402525.0,,,,,,,,2.0,661.0,,,,,,,,,,,,,,,,,,,
+230,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2025-02-17 17:35:09.000000,2025-02-17 17:35:09,1942.0,23.0,652.0,46.0,938.0,493.0,325.0,4142.0,Time series forecasting with PyTorch.,64.0,32,True,2025-02-06 17:46:54.000,1.3.0,38.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,521.0,499.0,https://pypi.org/project/pytorch-forecasting,2025-02-06 19:41:43.000,22.0,86862.0,88230.0,https://anaconda.org/conda-forge/pytorch-forecasting,2025-01-12 13:33:55.298,72514.0,,,,,2.0,,,,,,,,sktime/pytorch-forecasting,,,,,,,,,,,,
+231,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-12-23 22:00:12.774000,2024-10-30 21:00:25,674.0,,122.0,75.0,75.0,9.0,137.0,3859.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",20.0,32,True,2024-10-26 00:51:07.000,6.3.1,55.0,ftfy,conda-forge/ftfy,,,,27752.0,27181.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,5851295.0,5857775.0,https://anaconda.org/conda-forge/ftfy,2024-12-23 22:00:12.774,317537.0,,,,,2.0,38.0,,,,,,,,,,,,,,,,,,,
+232,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2025-02-01 17:20:45.000000,2025-02-01 17:20:45,1374.0,14.0,327.0,57.0,252.0,70.0,460.0,3782.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,32,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,1092.0,1062.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,293052.0,312013.0,https://anaconda.org/conda-forge/stumpy,2024-12-21 13:31:00.768,1061843.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+233,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2025-02-07 03:38:31.000000,2025-02-07 03:38:27,3939.0,29.0,561.0,57.0,930.0,370.0,988.0,3646.0,A highly efficient implementation of Gaussian Processes in PyTorch.,139.0,32,True,2025-01-29 15:57:10.000,1.14,42.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2844.0,2651.0,https://pypi.org/project/gpytorch,2025-01-29 16:03:32.000,193.0,277485.0,280891.0,https://anaconda.org/conda-forge/gpytorch,2025-02-02 20:27:15.826,194198.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+234,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2025-02-03 18:00:05.862000,2024-10-09 08:38:39,344.0,,338.0,62.0,78.0,23.0,125.0,3530.0,A Python Perceptual Image Hashing Module.,27.0,32,True,2025-02-01 08:45:36.000,4.3.2,21.0,ImageHash,conda-forge/imagehash,,,,16135.0,15866.0,https://pypi.org/project/ImageHash,2025-02-01 08:45:36.000,269.0,1520587.0,1528920.0,https://anaconda.org/conda-forge/imagehash,2025-02-03 18:00:05.862,425001.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+235,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2025-02-05 15:28:10.022000,2025-01-17 12:09:38,1188.0,1.0,1661.0,155.0,210.0,14.0,693.0,3493.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,32,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,1878862.0,1880968.0,https://anaconda.org/conda-forge/tensorflow-hub,2025-02-05 15:28:10.022,113729.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+236,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2025-02-17 21:15:59.088000,2022-08-22 18:21:12,586.0,,628.0,79.0,82.0,74.0,162.0,3454.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,8478.0,8358.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,1626971.0,1896510.0,https://anaconda.org/conda-forge/filterpy,2025-02-17 21:15:59.088,269539.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+237,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2025-02-18 22:00:11.000000,2025-02-18 22:00:09,1223.0,15.0,377.0,36.0,566.0,120.0,483.0,3304.0,Scalable and user friendly neural forecasting algorithms.,49.0,32,True,2025-01-22 21:26:52.000,2.0.1,30.0,neuralforecast,conda-forge/neuralforecast,,,,325.0,300.0,https://pypi.org/project/neuralforecast,2025-01-22 21:26:52.000,25.0,75854.0,76755.0,https://anaconda.org/conda-forge/neuralforecast,2025-01-23 13:58:38.348,31564.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+238,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2025-02-19 17:15:00.000000,2025-02-19 09:05:14,1352.0,51.0,290.0,29.0,1217.0,78.0,518.0,3284.0,A python library for self-supervised learning on images.,64.0,32,True,2025-02-18 09:00:50.000,1.5.19,132.0,lightly,,,,['pytorch'],410.0,390.0,https://pypi.org/project/lightly,2025-02-18 09:00:50.000,20.0,39555.0,39555.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+239,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-06-05 12:17:25.116000,2021-10-12 13:32:38,1570.0,,545.0,63.0,546.0,318.0,393.0,2757.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,7784.0,7416.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,676016.0,690178.0,https://anaconda.org/conda-forge/scikit-optimize,2024-06-05 12:17:25.116,764750.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+240,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2025-01-19 21:20:49.385000,2025-01-19 19:42:23,974.0,8.0,396.0,39.0,155.0,44.0,252.0,2424.0,A library of sklearn compatible categorical variable encoders.,70.0,32,True,2025-01-19 19:44:35.000,2.8.0,35.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],3038.0,2738.0,https://pypi.org/project/category_encoders,2025-01-19 19:45:13.000,300.0,1551537.0,1559113.0,https://anaconda.org/conda-forge/category_encoders,2025-01-19 21:20:49.385,303072.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+241,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2025-02-11 19:15:49.000000,2024-12-12 02:46:04,5965.0,8.0,714.0,87.0,6055.0,257.0,880.0,2127.0,TFX is an end-to-end platform for deploying production ML pipelines.,193.0,32,True,2024-12-11 20:13:47.000,1.16.0,100.0,tfx,,,,['tensorflow'],1719.0,1702.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,53437.0,53437.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+242,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2025-01-10 14:45:40.000000,2025-01-10 14:45:39,954.0,1.0,264.0,45.0,356.0,220.0,144.0,2113.0,Evaluate: A library for easily evaluating machine learning models and datasets.,130.0,32,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,17716.0,17313.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2526888.0,2526888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+243,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2025-02-19 00:35:26.802000,2025-02-18 15:31:24,758.0,25.0,359.0,46.0,418.0,68.0,254.0,1752.0,Training PyTorch models with differential privacy.,85.0,32,True,2025-02-18 22:03:17.000,1.5.3,25.0,opacus,conda-forge/opacus,,,['pytorch'],1038.0,996.0,https://pypi.org/project/opacus,2025-02-18 22:03:17.000,42.0,99135.0,99706.0,https://anaconda.org/conda-forge/opacus,2025-02-19 00:35:26.802,21086.0,,,,,2.0,137.0,,,,,,,,,,,,,,,,,,,
+244,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2025-02-20 12:07:54.000000,2025-02-20 12:04:34,4655.0,206.0,53.0,178.0,606.0,166.0,509.0,1632.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,32,True,2024-12-13 18:39:32.000,4.5.2,83.0,lets-plot,,,,,177.0,162.0,https://pypi.org/project/lets-plot,2025-02-19 17:35:20.000,15.0,23946.0,23996.0,,,,,,,,2.0,3212.0,,,,,,,,,,,,,,,,,,,
+245,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2025-01-31 17:01:06.000000,2025-01-31 17:01:06,1990.0,9.0,289.0,44.0,295.0,59.0,215.0,1595.0,TensorLy: Tensor Learning in Python.,70.0,32,True,2024-11-12 14:54:17.000,0.9.0,21.0,tensorly,conda-forge/tensorly,,,,1006.0,907.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,59683.0,66845.0,https://anaconda.org/conda-forge/tensorly,2024-06-10 02:35:16.323,372442.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+246,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2025-02-17 18:43:35.000000,2025-02-06 01:55:00,1636.0,17.0,171.0,17.0,869.0,110.0,458.0,1397.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,109.0,32,True,2024-12-04 19:50:34.000,0.30.0,66.0,pyjanitor,conda-forge/pyjanitor,,,,889.0,853.0,https://pypi.org/project/pyjanitor,2024-12-04 19:50:29.000,36.0,96989.0,101213.0,https://anaconda.org/conda-forge/pyjanitor,2024-12-05 10:07:32.356,240809.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+247,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2025-02-19 08:06:31.000000,2025-02-11 17:33:44,744.0,14.0,110.0,25.0,606.0,372.0,474.0,1170.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",51.0,32,True,2024-12-16 22:32:41.000,0.11.2,81.0,hvplot,conda-forge/hvplot,,,,6802.0,6584.0,https://pypi.org/project/hvplot,2024-12-16 15:36:13.000,218.0,202015.0,214836.0,https://anaconda.org/conda-forge/hvplot,2024-12-16 22:43:35.357,717998.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+248,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2025-02-16 16:41:00.000000,2025-02-16 16:40:51,1216.0,52.0,216.0,22.0,161.0,30.0,209.0,1163.0,Survival analysis built on top of scikit-learn.,22.0,32,False,2024-11-04 10:57:40.000,0.23.1,30.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],768.0,731.0,https://pypi.org/project/scikit-survival,2024-11-04 10:57:40.000,37.0,159090.0,164831.0,https://anaconda.org/conda-forge/scikit-survival,2024-11-04 14:21:17.242,223931.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+249,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2025-02-19 19:10:57.000000,2025-02-19 19:09:51,14476.0,157.0,300.0,34.0,1954.0,516.0,694.0,1086.0,Python package for earth-observing satellite data processing.,175.0,32,False,2025-01-20 15:15:49.000,0.54.0,100.0,satpy,conda-forge/satpy,,,,194.0,163.0,https://pypi.org/project/satpy,2025-01-20 15:15:49.000,31.0,12272.0,16803.0,https://anaconda.org/conda-forge/satpy,2025-01-21 10:01:01.287,253779.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+250,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2025-01-25 09:16:44.000000,2025-01-25 09:07:20,604.0,34.0,112.0,17.0,204.0,124.0,140.0,735.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",37.0,32,True,2025-01-25 09:16:44.000,0.13.1,17.0,soundfile,anaconda/pysoundfile,,,,53906.0,52839.0,https://pypi.org/project/soundfile,2025-01-25 09:16:44.000,1067.0,4857217.0,4857377.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,21159.0,,,,,,,,,,,,,,,,,,,
+251,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2025-02-18 18:31:54.000000,2025-02-18 18:31:54,14765.0,64.0,442.0,57.0,2280.0,167.0,816.0,731.0,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization,..",165.0,32,False,2024-12-12 17:53:19.000,1.10.0,29.0,dipy,conda-forge/dipy,,,,1500.0,1372.0,https://pypi.org/project/dipy,2024-12-12 17:53:19.000,128.0,29216.0,40335.0,https://anaconda.org/conda-forge/dipy,2024-12-13 21:19:52.949,589342.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+252,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2025-01-17 09:31:44.000000,2025-01-17 09:31:35,632.0,69.0,39.0,10.0,78.0,14.0,27.0,223.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,13.0,32,False,2025-01-13 08:35:34.000,1.2.0,54.0,blis,conda-forge/cython-blis,,,,56605.0,56494.0,https://pypi.org/project/blis,2025-01-13 08:35:34.000,111.0,10824210.0,10869983.0,https://anaconda.org/conda-forge/cython-blis,2025-01-05 16:04:33.921,2425092.0,,,,,2.0,1143.0,,,,,,,,,,,,,,,,,,,
+253,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2025-01-19 13:53:44.000000,2025-01-19 13:53:11,340.0,6.0,3151.0,154.0,58.0,139.0,142.0,21804.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",23.0,31,True,2025-01-19 13:53:44.000,1.9.2,215.0,vit-pytorch,,,,['pytorch'],621.0,604.0,https://pypi.org/project/vit-pytorch,2025-01-19 13:53:44.000,17.0,22391.0,22391.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+254,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2025-01-09 13:35:59.000000,2025-01-09 13:35:59,2010.0,14.0,2737.0,305.0,954.0,249.0,700.0,16561.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",136.0,31,True,2024-12-23 07:36:40.000,0.9.6,35.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-12-23 07:38:34.000,1.0,5376.0,5390.0,,,,,,,,1.0,776.0,,,,,,,,,,,,,,,,,,,
+255,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1816.0,284.0,3507.0,417.0,1684.0,14131.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,False,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,17477.0,17477.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+256,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,,2074.0,182.0,1007.0,574.0,727.0,12796.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",70.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1854.0,1847.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,4721.0,4732.0,,,,,,,,2.0,838.0,,,,,,,,,,,,,,,,,,,
+257,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2025-02-19 06:23:54.000000,2025-02-19 06:23:50,2981.0,14.0,2504.0,211.0,492.0,247.0,482.0,10824.0,FinRL: Financial Reinforcement Learning.,121.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,64.0,64.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,2212.0,2212.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+258,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2025-02-06 02:01:10.000000,2025-02-06 02:01:10,1767.0,24.0,783.0,87.0,817.0,111.0,290.0,10185.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",55.0,31,False,2024-09-26 16:50:26.000,2.7.0,32.0,cleanlab,conda-forge/cleanlab,,,,455.0,437.0,https://pypi.org/project/cleanlab,2024-09-26 16:50:26.000,18.0,32180.0,33011.0,https://anaconda.org/conda-forge/cleanlab,2025-01-02 16:30:44.037,38234.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+259,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2410.0,455.0,263.0,579.0,365.0,9620.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5138.0,5124.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,5089.0,5089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+260,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-12-16 18:00:41.000000,2024-12-16 18:00:41,1394.0,1.0,1399.0,299.0,897.0,146.0,760.0,9199.0,AutoML library for deep learning.,145.0,31,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],812.0,799.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,17601.0,17821.0,,,,,,,,2.0,19225.0,,,,,,,,,,,,,,,,,,,
+261,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2025-02-15 13:32:55.188000,2025-02-05 21:06:19,1198.0,8.0,1401.0,99.0,676.0,735.0,531.0,8546.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,130.0,31,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2998.0,2998.0,,,,,8476.0,https://anaconda.org/conda-forge/nvidia-apex,2025-02-15 13:32:55.188,440798.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+262,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2025-01-22 14:40:43.000000,2023-04-18 11:08:13,2759.0,,1282.0,213.0,727.0,201.0,829.0,7743.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],682.0,648.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,15948.0,16582.0,https://anaconda.org/conda-forge/auto-sklearn,2025-01-02 16:30:24.107,29192.0,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,,
+263,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2025-02-17 21:20:45.000000,2025-02-17 21:20:41,638.0,8.0,723.0,109.0,200.0,11.0,357.0,6009.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,31,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,2718921.0,2730674.0,https://anaconda.org/conda-forge/pytesseract,2025-01-07 11:30:51.352,646459.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+264,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1760.0,305.0,297.0,161.0,268.0,5824.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1171.0,1157.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,11459.0,11633.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,14685.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+265,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2025-01-19 06:34:14.145000,2024-06-24 00:50:16,586.0,,1093.0,110.0,270.0,107.0,509.0,5788.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,31,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],4928.0,4786.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,142.0,160521.0,161121.0,https://anaconda.org/conda-forge/pandas-ta,2025-01-19 06:34:14.145,24002.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+266,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-11-20 21:17:10.552000,2024-06-17 19:23:44,491.0,,674.0,66.0,230.0,249.0,164.0,4552.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,31,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,7717.0,7583.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,661909.0,668276.0,https://anaconda.org/conda-forge/hnswlib,2024-11-20 21:17:10.552,318354.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+267,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2025-01-02 16:30:25.284000,2023-11-02 13:49:44,662.0,,1019.0,151.0,132.0,139.0,104.0,4521.0,Technical Analysis Library using Pandas and Numpy.,34.0,31,False,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,5806.0,5699.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,232371.0,233074.0,https://anaconda.org/conda-forge/ta,2025-01-02 16:30:25.284,33745.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+268,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2025-02-20 14:39:53.000000,2025-02-20 06:37:22,15674.0,102.0,553.0,76.0,3805.0,961.0,1648.0,4408.0,cuML - RAPIDS Machine Learning Library.,180.0,31,True,2024-12-11 21:41:19.000,24.12.00,44.0,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,3642.0,3642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+269,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,182.0,737.0,277.0,710.0,3428.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,287.0,269.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,139263.0,139446.0,,,,,,,,3.0,18367.0,,,,,,,,,,,,,,,,,,,
+270,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2025-01-12 23:14:25.000000,2025-01-12 23:14:25,705.0,1.0,283.0,50.0,829.0,103.0,285.0,3264.0,PyTorch extensions for high performance and large scale training.,76.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],7648.0,7495.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,476753.0,487072.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,402450.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+271,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2025-01-29 18:15:14.000000,2025-01-29 18:15:09,999.0,6.0,237.0,36.0,559.0,72.0,177.0,2962.0,JAX-based neural network library.,85.0,31,True,2024-10-16 09:11:35.000,0.0.13,16.0,dm-haiku,conda-forge/dm-haiku,,,,2493.0,2318.0,https://pypi.org/project/dm-haiku,2024-10-16 09:11:35.000,175.0,299911.0,300520.0,https://anaconda.org/conda-forge/dm-haiku,2024-12-23 08:50:11.458,29277.0,,,,,3.0,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,,,
+272,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-12-25 16:57:33.423000,2024-06-24 17:09:39,1087.0,,397.0,59.0,499.0,222.0,273.0,2874.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],5312.0,5197.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,384971.0,386171.0,https://anaconda.org/conda-forge/keras-tuner,2024-12-25 16:57:33.423,50420.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+273,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2025-02-13 14:05:45.000000,2025-02-13 13:50:04,1712.0,19.0,334.0,36.0,372.0,40.0,187.0,2773.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,40.0,31,True,2025-02-13 14:05:45.000,2.7.8,51.0,shapash,,,,['jupyter'],192.0,188.0,https://pypi.org/project/shapash,2025-02-13 14:05:45.000,4.0,9026.0,9026.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+274,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2025-02-07 21:57:51.000000,2025-02-07 21:57:18,1974.0,15.0,163.0,31.0,383.0,79.0,116.0,2478.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",63.0,31,True,2025-02-07 21:57:19.000,2.17.2,138.0,usearch,,unum/usearch,,,205.0,163.0,https://pypi.org/project/usearch,2024-12-29 12:38:31.000,27.0,170368.0,182979.0,,,,https://hub.docker.com/r/unum/usearch,2024-11-21 09:01:45.281389,1.0,171.0,2.0,52130.0,usearch,https://www.npmjs.com/package/usearch,2025-01-23 09:38:41.221,15.0,9861.0,,,,,,,,,,,,,,
+275,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2025-02-12 01:06:42.000000,2025-02-12 01:06:42,574.0,15.0,436.0,94.0,125.0,81.0,266.0,2402.0,bt - flexible backtesting for Python.,34.0,31,True,2025-02-12 01:06:34.000,1.1.1,29.0,bt,conda-forge/bt,,,,1660.0,1647.0,https://pypi.org/project/bt,2025-02-12 01:06:34.000,13.0,7098.0,8674.0,https://anaconda.org/conda-forge/bt,2024-09-21 21:55:35.462,72523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+276,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-12-19 19:53:58.719000,2024-10-30 12:23:10,890.0,,361.0,82.0,169.0,218.0,149.0,2374.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,53.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,7145.0,6990.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,354944.0,359943.0,https://anaconda.org/conda-forge/mpld3,2024-12-19 19:53:58.719,222263.0,,,,,3.0,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,1031.0,,,,,,,,,,,,,,
+277,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-12-29 21:23:32.000000,2024-12-29 21:20:41,1376.0,3.0,334.0,22.0,50.0,38.0,203.0,2356.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,31,True,2024-12-29 21:23:32.000,0.4.8,92.0,explainerdashboard,conda-forge/explainerdashboard,,,,609.0,596.0,https://pypi.org/project/explainerdashboard,2024-12-29 21:23:32.000,13.0,69292.0,70511.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,60978.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+278,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2025-02-19 14:27:37.000000,2025-02-06 07:39:03,1965.0,148.0,212.0,48.0,306.0,190.0,167.0,2210.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",45.0,31,True,2025-02-06 06:10:43.000,0.36.0,206.0,graphistry,,,,['jupyter'],142.0,136.0,https://pypi.org/project/graphistry,2025-02-06 06:10:43.000,6.0,17657.0,17657.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+279,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2025-02-12 12:40:28.000000,2025-02-12 10:35:29,217.0,7.0,255.0,56.0,80.0,50.0,233.0,2058.0,A Python wrapper for the tesseract-ocr API.,31.0,31,True,2025-02-12 12:40:28.000,2.8.0,23.0,tesserocr,conda-forge/tesserocr,,,,1230.0,1187.0,https://pypi.org/project/tesserocr,2025-02-12 12:40:28.000,43.0,99757.0,103929.0,https://anaconda.org/conda-forge/tesserocr,2024-09-13 13:36:57.070,229067.0,,,,,2.0,855.0,,,,,,,,,,,,,,,,,,,
+280,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2025-02-20 09:53:20.000000,2025-02-20 09:46:00,2912.0,16.0,191.0,27.0,749.0,114.0,466.0,1743.0,A Python library for learning and evaluating knowledge graph embeddings.,42.0,31,True,2024-10-29 16:35:05.000,1.11.0,49.0,pykeen,,,,,307.0,288.0,https://pypi.org/project/pykeen,2024-10-29 16:25:52.000,19.0,12956.0,12960.0,,,,,,,,2.0,231.0,,,,,,,,,,,,,,,,,,,
+281,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-09-03 20:56:01.000000,2024-04-15 22:25:34,1519.0,,612.0,56.0,1884.0,92.0,899.0,1695.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,31,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],371.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,371.0,2160760.0,2160760.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+282,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-11-13 21:41:20.000000,2024-11-07 23:05:03,1082.0,,235.0,36.0,256.0,65.0,274.0,1619.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,31,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,10922.0,10769.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2761213.0,2785797.0,https://anaconda.org/conda-forge/pmdarima,2024-07-14 16:03:51.778,1278419.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+283,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-12-16 09:24:29.167000,2024-12-05 15:39:58,1196.0,2.0,362.0,68.0,617.0,297.0,361.0,1508.0,A Jupyter - Leaflet.js bridge.,92.0,31,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],14689.0,14405.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,165885.0,195713.0,https://anaconda.org/conda-forge/ipyleaflet,2024-12-16 09:24:29.167,1375512.0,,,,,3.0,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,5697.0,,,,,,,,,,,,,,
+284,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2025-02-06 19:37:37.335000,2025-02-06 17:53:01,4399.0,24.0,304.0,77.0,680.0,19.0,636.0,1368.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,31,True,2025-01-31 17:29:10.000,25.01,42.0,pysal,conda-forge/pysal,,,,1793.0,1734.0,https://pypi.org/project/pysal,2025-02-06 17:54:03.000,59.0,31973.0,42956.0,https://anaconda.org/conda-forge/pysal,2025-02-06 19:37:37.335,604090.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+285,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2025-01-08 18:36:40.000000,2025-01-08 18:31:17,1167.0,9.0,253.0,49.0,552.0,33.0,189.0,1365.0,ARCH models in Python.,37.0,31,False,2024-11-04 16:01:44.000,7.2.0,49.0,arch,conda-forge/arch-py,,,,2571.0,2458.0,https://pypi.org/project/arch,2024-11-04 16:01:44.000,113.0,2458280.0,2467841.0,https://anaconda.org/conda-forge/arch-py,2024-11-05 00:36:23.711,535432.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+286,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2025-02-08 10:04:18.000000,2025-02-08 10:04:18,10851.0,55.0,251.0,39.0,1520.0,209.0,358.0,1302.0,Computations and statistics on manifolds with geometric structures.,95.0,31,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,144.0,132.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,3910.0,4083.0,https://anaconda.org/conda-forge/geomstats,2025-01-01 19:03:18.457,5538.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+287,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2025-02-19 00:33:57.000000,2025-02-19 00:31:04,1118.0,24.0,174.0,35.0,119.0,25.0,66.0,773.0,Snowball compiler and stemming algorithms.,35.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,459.0,10.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,449.0,16650389.0,16741177.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,9260457.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+288,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2025-02-20 11:17:30.000000,2025-02-20 11:11:59,180629.0,3408.0,97.0,51.0,2469.0,38.0,350.0,690.0,TensorFlow ROCm port.,4826.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,4474.0,4474.0,,,,,,,,3.0,27.0,,,,,,,ROCm/tensorflow-upstream,,,,,,,,,,,,
+289,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2025-02-06 18:37:56.000000,2024-12-15 00:03:38,17327.0,20.0,111.0,27.0,3630.0,535.0,3417.0,558.0,"Keep code, data, containers under control with git and git-annex.",57.0,31,True,2024-12-15 00:03:47.000,1.1.5,121.0,datalad,conda-forge/datalad,,,,551.0,452.0,https://pypi.org/project/datalad,2024-12-15 00:03:47.000,99.0,14982.0,29340.0,https://anaconda.org/conda-forge/datalad,2024-11-20 02:36:29.417,804074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+290,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2025-02-14 04:57:35.000000,2025-02-13 11:19:03,2319.0,19.0,2914.0,199.0,3791.0,1250.0,4278.0,13086.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",185.0,30,True,2025-02-14 04:57:35.000,2.8.1,11.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,1077.0,1077.0,,,,,,,,2.0,,,,,,,,,2.0,,,,,,,,,,,
+291,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-08-03 09:45:20.000000,2024-02-20 22:38:05,385.0,,2157.0,289.0,98.0,311.0,446.0,8725.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1765.0,1746.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,9976.0,21789.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,8755.0,,,,,2.0,955629.0,,,,,,,,,,,,,,,,,,,
+292,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2025-02-20 12:25:20.000000,2024-12-13 16:40:15,828.0,9.0,410.0,71.0,305.0,62.0,534.0,4849.0,Visualizer for pandas data structures.,30.0,30,True,2024-12-13 16:37:39.000,3.16.1,190.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1409.0,1361.0,https://pypi.org/project/dtale,2024-12-13 16:37:39.000,48.0,99437.0,106272.0,https://anaconda.org/conda-forge/dtale,2024-12-13 17:33:14.415,389651.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+293,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-12-16 22:42:59.295000,2024-11-05 15:19:52,1478.0,,760.0,76.0,1824.0,331.0,637.0,4777.0,Probabilistic time series modeling in Python.,117.0,30,True,2024-11-11 08:51:05.000,0.16.0,112.0,gluonts,anaconda/gluonts,,,['mxnet'],33.0,,https://pypi.org/project/gluonts,2024-11-11 08:51:05.000,33.0,608498.0,608535.0,https://anaconda.org/anaconda/gluonts,2024-12-16 22:42:59.295,1494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+294,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2024-12-23 15:30:17.782000,2022-07-07 05:16:43,738.0,,463.0,42.0,126.0,76.0,154.0,4507.0,Data augmentation for NLP.,33.0,30,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1635.0,1570.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,137569.0,138291.0,https://anaconda.org/conda-forge/nlpaug,2024-12-23 15:30:17.782,31780.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+295,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-12-25 13:43:02.087000,2024-01-12 14:48:30,249.0,,283.0,44.0,51.0,28.0,97.0,4133.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,False,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,6911.0,6761.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,602802.0,608655.0,https://anaconda.org/conda-forge/gpustat,2024-12-25 13:43:02.087,298529.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+296,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2025-02-15 00:53:11.000000,2025-02-15 00:53:08,1296.0,41.0,512.0,66.0,800.0,3.0,564.0,3930.0,On-device wake word detection powered by deep learning.,42.0,30,True,2025-02-05 18:37:30.000,3.0.5,37.0,pvporcupine,,,,,78.0,40.0,https://pypi.org/project/pvporcupine,2025-02-05 18:37:30.000,38.0,18830.0,18830.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+297,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2025-02-11 15:39:48.000000,2024-10-22 15:05:01,3667.0,,466.0,102.0,1069.0,271.0,368.0,3642.0,Plotting library for IPython/Jupyter notebooks.,65.0,30,True,2024-12-24 14:19:50.859,0.5.45,113.0,bqplot,conda-forge/bqplot,,,['jupyter'],188.0,61.0,https://pypi.org/project/bqplot,2024-12-24 14:19:25.000,106.0,175049.0,203445.0,https://anaconda.org/conda-forge/bqplot,2024-12-16 10:22:21.065,1498319.0,,,,,3.0,,bqplot,https://www.npmjs.com/package/bqplot,2024-12-24 14:19:50.859,21.0,2110.0,,,,,,,,,,,,,,
+298,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-09-21 03:01:04.000000,2024-09-21 03:01:04,1581.0,,450.0,93.0,127.0,92.0,348.0,3446.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,30,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1368.0,1305.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,405135.0,408683.0,https://anaconda.org/conda-forge/nmslib,2024-09-09 06:18:10.925,184516.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+299,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-10-31 19:43:08.823000,2024-10-31 09:14:19,481.0,,739.0,122.0,132.0,71.0,375.0,3122.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,30,True,2024-10-31 09:03:22.000,0.3.3,14.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],3201.0,3109.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,139465.0,145958.0,https://anaconda.org/conda-forge/hmmlearn,2024-10-31 19:43:08.823,344176.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+300,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-07-26 07:25:11.554000,2024-07-01 04:53:53,1639.0,,342.0,59.0,195.0,139.0,197.0,2940.0,The machine learning toolkit for time series analysis in Python.,43.0,30,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1720.0,1641.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,383175.0,410688.0,https://anaconda.org/conda-forge/tslearn,2024-07-26 07:25:11.554,1540782.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+301,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2025-02-20 13:03:59.000000,2025-02-20 13:01:07,2364.0,126.0,470.0,36.0,2555.0,338.0,134.0,2038.0,Pytorch domain library for recommendation systems.,320.0,30,True,2025-01-30 19:33:09.000,1.1.0-rc4,77.0,torchrec-nightly-cpu,,,,,175.0,175.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,1925.0,1925.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+302,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2025-02-20 12:40:06.000000,2025-02-20 12:40:05,936.0,35.0,433.0,38.0,977.0,160.0,352.0,2008.0,A Python package to assess and improve fairness of machine learning models.,94.0,30,True,2024-12-11 12:38:14.000,0.12.0,22.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],66.0,3.0,https://pypi.org/project/fairlearn,2024-12-11 11:29:34.000,63.0,134824.0,135651.0,https://anaconda.org/conda-forge/fairlearn,2025-01-02 10:15:25.753,42196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+303,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2025-02-07 22:02:42.000000,2025-02-07 22:00:39,1613.0,2.0,291.0,56.0,143.0,86.0,195.0,1903.0,"CUDA integration for Python, plus shiny features.",82.0,30,True,2025-02-07 22:03:18.000,2025.1,56.0,pycuda,conda-forge/pycuda,,,,3614.0,3448.0,https://pypi.org/project/pycuda,2025-02-07 22:02:42.000,166.0,83520.0,102446.0,https://anaconda.org/conda-forge/pycuda,2024-08-17 22:59:08.823,889548.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+304,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2025-01-14 20:54:40.303000,2024-04-29 20:57:51,290.0,,359.0,47.0,80.0,77.0,114.0,1819.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,30,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],7002.0,6899.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,124067.0,126020.0,https://anaconda.org/conda-forge/pyldavis,2025-01-14 20:54:40.303,91822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+305,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2025-01-06 13:25:07.564000,2024-12-08 12:55:17,1260.0,3.0,147.0,30.0,124.0,42.0,269.0,1686.0,Statistical package in Python based on Pandas.,48.0,30,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,2951.0,2795.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,163140.0,165871.0,https://anaconda.org/conda-forge/pingouin,2025-01-06 13:25:07.564,152982.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+306,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2025-02-16 18:55:42.000000,2025-02-16 18:55:42,957.0,5.0,431.0,85.0,241.0,57.0,242.0,1493.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,75.0,30,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,3255.0,2817.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,115478.0,124301.0,https://anaconda.org/conda-forge/emcee,2024-12-13 20:47:09.726,388212.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+307,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2025-02-13 15:06:18.000000,2025-02-13 15:06:18,3398.0,8.0,243.0,50.0,420.0,77.0,286.0,1081.0,"OpenCL integration for Python, plus shiny features.",98.0,30,True,2025-01-21 23:57:14.000,2025.1,104.0,pyopencl,conda-forge/pyopencl,,,,2334.0,2153.0,https://pypi.org/project/pyopencl,2025-01-22 00:15:58.000,181.0,82483.0,112092.0,https://anaconda.org/conda-forge/pyopencl,2025-01-22 15:41:17.173,1658142.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+308,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2025-02-18 23:06:05.000000,2025-02-10 13:37:15,16705.0,51.0,388.0,46.0,1658.0,306.0,3000.0,956.0,An open-source application for biological image analysis.,145.0,30,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,,29.0,27.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1118.0,1180.0,,,,,,,,2.0,8355.0,,,,,,,,,,,,,,,,,,,
+309,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-12-22 16:30:21.524000,2024-12-21 19:30:30,501.0,1.0,121.0,32.0,133.0,24.0,77.0,937.0,Python bindings and utilities for GeoJSON.,58.0,30,True,2024-12-21 19:35:29.000,3.2.0,32.0,geojson,conda-forge/geojson,,,,20102.0,19379.0,https://pypi.org/project/geojson,2024-12-21 19:35:29.000,723.0,2599686.0,2637882.0,https://anaconda.org/conda-forge/geojson,2024-12-22 16:30:21.524,916720.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+310,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2025-02-08 21:55:01.566000,2025-02-07 20:33:56,822.0,3.0,259.0,39.0,516.0,282.0,262.0,916.0,Scalable Machine Learning with Dask.,80.0,30,True,2025-02-08 03:16:42.000,2025.1.0,38.0,dask-ml,conda-forge/dask-ml,,,,1300.0,1200.0,https://pypi.org/project/dask-ml,2025-02-08 03:16:42.000,100.0,91799.0,108411.0,https://anaconda.org/conda-forge/dask-ml,2025-02-08 21:55:01.566,946922.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+311,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2025-02-18 08:39:59.000000,2025-02-16 18:40:59,3256.0,45.0,122.0,16.0,337.0,6.0,194.0,836.0,Python bindings for MPI.,27.0,30,True,2025-02-13 18:35:50.000,4.0.3,32.0,mpi4py,conda-forge/mpi4py,,,,829.0,,https://pypi.org/project/mpi4py,2025-02-13 18:35:50.000,829.0,331591.0,399896.0,https://anaconda.org/conda-forge/mpi4py,2025-02-14 12:00:25.789,3523515.0,,,,,2.0,30067.0,,,,,,,,,,,,,,,,,,,
+312,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4283.0,1248.0,557.0,840.0,2543.0,17554.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,29,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,669.0,805.0,,,,,,,,3.0,14831.0,,,,,,,,,,,,,,,,,,,
+313,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4881.0,641.0,375.0,504.0,436.0,16032.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,116.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,608.0,605.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,1158.0,1158.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+314,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,3917.0,635.0,234.0,53.0,,15998.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2762.0,2688.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,74634.0,74634.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+315,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1834.0,214.0,48.0,101.0,94.0,9053.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,167685.0,168555.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,48763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+316,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-11-26 06:34:46.000000,2024-11-26 06:34:41,2711.0,1.0,1151.0,210.0,1052.0,28.0,615.0,6799.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,29,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,,['tensorflow'],429.0,425.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,11262.0,11262.0,,,,,,,,2.0,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,
+317,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1389.0,190.0,786.0,45.0,423.0,6257.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],792.0,785.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,2349.0,2528.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,10052.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+318,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2025-02-19 03:38:23.000000,2025-02-19 03:38:23,633.0,6.0,783.0,85.0,360.0,54.0,350.0,5208.0,Uplift modeling and causal inference with machine learning algorithms.,64.0,29,True,2024-10-01 06:25:01.000,0.15.2,25.0,causalml,,,,,250.0,248.0,https://pypi.org/project/causalml,2024-10-01 06:25:01.000,2.0,49047.0,49047.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+319,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-02-06 18:35:02.000000,2025-02-06 18:35:02,1659.0,11.0,834.0,143.0,1603.0,387.0,403.0,5098.0,Simple and Distributed Machine Learning.,121.0,29,True,2025-01-10 00:23:04.000,1.0.9,60.0,synapseml,,,,,7.0,,https://pypi.org/project/synapseml,2025-01-10 00:23:04.000,7.0,327472.0,327472.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+320,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2025-01-22 06:02:52.000000,2025-01-22 06:02:52,927.0,4.0,634.0,147.0,800.0,141.0,356.0,4811.0,Deep Learning Visualization Toolkit.,36.0,29,True,2024-10-30 02:46:42.000,3.0.0-beta,44.0,visualdl,,,,['paddle'],84.0,2.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,148981.0,148989.0,,,,,,,,2.0,498.0,,,,,,,,,,,,,,,,,,,
+321,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-12-18 08:11:39.000000,2024-12-18 08:11:22,524.0,6.0,607.0,46.0,558.0,11.0,,4315.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,48.0,29,True,2024-12-16 17:07:49.000,0.11.20,105.0,sahi,conda-forge/sahi,,,,1678.0,1647.0,https://pypi.org/project/sahi,2024-12-16 17:07:49.000,31.0,165000.0,167918.0,https://anaconda.org/conda-forge/sahi,2024-12-18 02:06:06.849,89788.0,,,,,3.0,32392.0,,,,,,,,,,,,,,,,,,,
+322,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2025-02-03 06:35:24.000000,2025-02-03 06:23:21,937.0,25.0,468.0,43.0,1037.0,27.0,360.0,4301.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",56.0,29,True,2025-01-30 09:29:40.000,0.11.0,18.0,python-doctr,,,,"['tensorflow', 'pytorch']",14.0,,https://pypi.org/project/python-doctr,2025-01-30 09:29:40.000,14.0,78485.0,181206.0,,,,,,,,3.0,4930611.0,,,,,,,,,,,,,,,,,,,
+323,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-11-26 07:16:52.000000,2024-11-26 07:14:46,1352.0,1.0,383.0,70.0,376.0,103.0,460.0,4281.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",106.0,29,True,2024-11-26 07:16:52.000,0.8.7,31.0,sacred,conda-forge/sacred,,,,3471.0,3411.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,21723.0,21928.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,8009.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+324,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-11-25 02:57:39.000000,2024-11-01 16:12:42,3332.0,,551.0,120.0,386.0,77.0,743.0,4220.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,29,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,370.0,351.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,82243.0,84801.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,97214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+325,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2025-02-18 16:33:17.000000,2025-02-14 16:24:14,730.0,26.0,701.0,43.0,1069.0,147.0,835.0,4067.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",83.0,29,True,2025-02-18 16:32:52.000,1.1.3,37.0,anomalib,,,,,140.0,135.0,https://pypi.org/project/anomalib,2025-02-18 16:33:17.000,5.0,29467.0,29953.0,,,,,,,,2.0,18477.0,,,,,,,,,,,,,,,,,,,
+326,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,518.0,77.0,40.0,15.0,121.0,4040.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,20614.0,20492.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,205959.0,241054.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,386047.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+327,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2025-02-20 09:40:16.000000,2025-02-20 09:40:15,1497.0,7.0,262.0,22.0,1760.0,254.0,732.0,3709.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-12-15 15:25:39.000,0.19.1,62.0,deepchecks,,,,,493.0,481.0,https://pypi.org/project/deepchecks,2024-12-15 15:25:31.000,12.0,35966.0,36001.0,,,,,,,,2.0,1417.0,,,,,,,,,,,,,,,,,,,
+328,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-08-23 13:53:47.619000,2023-11-21 21:15:59,435.0,,612.0,77.0,232.0,95.0,406.0,3626.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,29,False,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1703.0,1674.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,252511.0,274298.0,https://anaconda.org/conda-forge/implicit,2024-08-23 13:53:47.619,1152343.0,,,,,2.0,1691.0,,,,,,,,,,,,,,,,,,,
+329,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2025-01-03 05:54:28.873000,2024-05-16 18:13:03,456.0,,526.0,113.0,93.0,23.0,101.0,3550.0,Module for automatic summarization of text documents and HTML pages.,32.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,3590.0,3559.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,131434.0,131686.0,https://anaconda.org/conda-forge/sumy,2025-01-03 05:54:28.873,11093.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+330,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2025-01-05 13:15:52.409000,2024-09-09 06:24:01,415.0,,251.0,65.0,56.0,9.0,,3442.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",17.0,29,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,,8008.0,7909.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,950035.0,964549.0,https://anaconda.org/conda-forge/textdistance,2025-01-05 13:15:52.409,739640.0,,,,,2.0,1051.0,,,,,,,,,,,,,,,,,,,
+331,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2025-01-14 19:13:28.454000,2025-01-14 09:06:34,1227.0,5.0,413.0,52.0,95.0,138.0,528.0,3116.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",29.0,29,True,2025-01-14 09:12:16.000,1.1.15,98.0,mljar-supervised,conda-forge/mljar-supervised,,,,143.0,137.0,https://pypi.org/project/mljar-supervised,2025-01-14 09:08:56.000,6.0,8573.0,9392.0,https://anaconda.org/conda-forge/mljar-supervised,2025-01-14 19:13:28.454,36043.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+332,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,108.0,74.0,102.0,123.0,3046.0,Productivity Tools for Plotly + Pandas.,39.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],13256.0,13147.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,63450.0,63450.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+333,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2025-02-20 08:49:00.000000,2025-02-20 08:49:00,3008.0,17.0,1007.0,123.0,549.0,61.0,307.0,2604.0,IPython Parallel: Interactive Parallel Computing in Python.,114.0,29,False,2024-11-06 12:07:08.000,9.0.0,48.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],112.0,,https://pypi.org/project/ipyparallel,2024-11-06 12:07:08.000,112.0,368213.0,391223.0,https://anaconda.org/conda-forge/ipyparallel,2024-12-06 14:00:08.619,1196544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+334,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,95.0,1045.0,260.0,297.0,2554.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1698.0,1676.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,82072.0,82072.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+335,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,315.0,65.0,15.0,28.0,47.0,2354.0,Stand-alone language identification system.,9.0,29,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,12324.0,12169.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,477726.0,477726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+336,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2025-02-12 04:47:15.741000,2025-02-12 01:06:45,507.0,14.0,312.0,67.0,132.0,22.0,109.0,2150.0,ffn - a financial function library for Python.,36.0,29,True,2025-02-11 21:34:04.000,1.1.2,39.0,ffn,conda-forge/ffn,,,,545.0,523.0,https://pypi.org/project/ffn,2025-02-11 21:08:01.000,22.0,16335.0,16682.0,https://anaconda.org/conda-forge/ffn,2025-02-12 04:47:15.741,15963.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+337,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2025-02-18 12:54:58.000000,2025-02-18 12:54:57,1296.0,27.0,193.0,20.0,186.0,49.0,142.0,1955.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,31.0,29,True,2025-02-12 09:25:26.000,0.39.0,43.0,audiomentations,,,,,701.0,676.0,https://pypi.org/project/audiomentations,2025-02-12 09:25:26.000,25.0,54805.0,54805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+338,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2025-02-14 11:01:53.000000,2025-01-29 10:12:27,2452.0,1.0,435.0,75.0,1273.0,154.0,682.0,1863.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,,['tensorflow'],763.0,728.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,62862.0,63994.0,https://anaconda.org/conda-forge/gpflow,2024-06-26 16:24:01.852,40771.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+339,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2025-02-20 13:12:52.000000,2025-02-20 13:12:51,2489.0,199.0,169.0,12.0,1138.0,109.0,1065.0,1694.0,"dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with..",50.0,29,True,2025-02-17 10:15:11.000,0.18.42,264.0,dstack,,,,,18.0,18.0,https://pypi.org/project/dstack,2025-02-17 09:43:52.000,,4542.0,4542.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+340,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2024-12-30 10:52:51.000000,2024-12-30 10:52:51,164.0,1.0,201.0,34.0,76.0,29.0,53.0,1612.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,9.0,29,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],4568.0,4531.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,2309259.0,2309979.0,https://anaconda.org/conda-forge/torchsde,2024-11-21 00:34:31.332,35302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+341,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2025-02-09 20:41:46.676000,2025-02-06 11:15:39,1484.0,6.0,168.0,31.0,253.0,,,1362.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",23.0,29,True,2025-02-06 12:32:23.000,release-v1.3.8,79.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2156.0,2058.0,https://pypi.org/project/spacy-transformers,2025-02-06 12:33:00.000,98.0,196931.0,199613.0,https://anaconda.org/conda-forge/spacy-transformers,2025-02-09 20:41:46.676,104575.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,,
+342,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2025-02-20 15:01:05.000000,2025-02-19 19:44:46,2454.0,94.0,421.0,54.0,612.0,190.0,270.0,1360.0,Machine learning on FPGAs using HLS.,63.0,29,True,2024-12-09 22:48:05.000,1.0.0,17.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",41.0,40.0,https://pypi.org/project/hls4ml,2024-12-09 22:48:05.000,1.0,1630.0,1815.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,9822.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+343,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2025-01-05 07:32:06.000000,2025-01-05 07:31:54,436.0,21.0,184.0,25.0,43.0,,133.0,1323.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2025-01-04 00:46:16.000,0.15.0,62.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],689.0,670.0,https://pypi.org/project/prince,2025-01-04 00:46:16.000,19.0,158847.0,159208.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,22798.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+344,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2025-02-20 11:36:40.000000,2024-11-28 09:24:18,4025.0,3.0,150.0,9.0,714.0,25.0,166.0,1255.0,Time series forecasting with machine learning models.,17.0,29,True,2024-11-11 13:34:47.000,0.14.0,29.0,skforecast,,,,['sklearn'],421.0,406.0,https://pypi.org/project/skforecast,2024-11-11 13:34:47.000,15.0,108470.0,108470.0,,,,,,,,2.0,,,,,,,,skforecast/skforecast,,,,,,,,,,,,
+345,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2025-01-05 22:17:55.224000,2022-02-17 22:38:15,288.0,,443.0,43.0,176.0,93.0,102.0,1027.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,3255266.0,3303691.0,https://anaconda.org/conda-forge/keras-preprocessing,2025-01-05 22:17:55.224,2372861.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+346,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2025-02-19 19:44:44.000000,2024-07-01 21:47:36,1690.0,,288.0,41.0,1466.0,293.0,371.0,718.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",110.0,29,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,,['tensorflow'],61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,985767.0,985767.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+347,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2025-02-13 11:01:06.000000,2025-02-13 11:01:06,871.0,20.0,77.0,26.0,424.0,109.0,243.0,607.0,"Simple, concise geographical visualization in Python.",33.0,29,True,2024-12-18 08:38:32.000,1.14.0,71.0,geoviews,conda-forge/geoviews,,,,1275.0,1212.0,https://pypi.org/project/geoviews,2024-12-17 11:40:57.000,63.0,15751.0,21017.0,https://anaconda.org/conda-forge/geoviews,2024-12-18 08:19:39.527,279101.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+348,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2025-02-14 14:01:34.000000,2025-02-14 14:01:32,2107.0,4.0,64.0,19.0,1651.0,33.0,219.0,601.0,The experiment tracker for foundation model training.,55.0,29,True,2024-10-31 09:03:43.000,1.13.0,211.0,neptune-client,conda-forge/neptune-client,,,,830.0,753.0,https://pypi.org/project/neptune-client,2024-10-31 09:03:43.000,77.0,484857.0,490479.0,https://anaconda.org/conda-forge/neptune-client,2024-10-31 15:38:08.903,320465.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+349,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-09-03 10:05:52.331000,2023-12-15 12:50:52,282.0,,107.0,26.0,55.0,37.0,57.0,502.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,29,False,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,28948.0,28813.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,2393998.0,2412332.0,https://anaconda.org/conda-forge/audioread,2024-09-03 10:05:52.331,953383.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+350,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2025-02-07 17:26:26.000000,2025-02-07 17:26:20,1630.0,4.0,817.0,138.0,1578.0,122.0,125.0,8165.0,Trax Deep Learning with Clear Code and Speed.,80.0,28,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,217.0,216.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,3979.0,3979.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+351,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,345.0,81.0,51.0,231.0,8071.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,925.0,899.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2706.0,3065.0,,,,,,,,2.0,32387.0,,,,,,,google-deepmind/pysc2,,,,,,,,,,,,
+352,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2025-02-13 09:08:31.000000,2025-01-21 03:29:47,1067.0,6.0,935.0,140.0,765.0,135.0,352.0,7280.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,100.0,28,True,2024-11-24 07:33:52.000,0.12,16.0,dowhy,conda-forge/dowhy,,,,540.0,522.0,https://pypi.org/project/dowhy,2024-11-24 07:36:17.000,18.0,42263.0,43022.0,https://anaconda.org/conda-forge/dowhy,2024-11-25 05:19:58.903,38720.0,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,,
+353,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,,1350.0,173.0,46.0,80.0,242.0,7217.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,64945.0,64945.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+354,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1196.0,209.0,93.0,201.0,123.0,5986.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,False,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,577.0,565.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,17591.0,17591.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+355,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-11-25 15:30:52.000000,2023-01-19 00:37:33,900.0,,1216.0,153.0,954.0,60.0,789.0,5864.0,Gluon CV Toolkit.,119.0,28,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,43985.0,43985.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+356,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1364.0,199.0,158.0,49.0,227.0,5538.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],813.0,807.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1293.0,1293.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+357,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2025-02-20 15:05:57.000000,2025-02-20 12:33:27,1060.0,551.0,338.0,54.0,1169.0,38.0,127.0,5085.0,"Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing,..",36.0,28,True,2025-02-19 10:10:06.000,1.4.17,98.0,opik,,,,,4.0,,https://pypi.org/project/opik,2025-02-19 10:10:26.000,4.0,36315.0,36315.0,,,,,,,,2.0,11.0,,,,,,,,,,,,,,,,,,,
+358,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,478.0,75.0,63.0,112.0,57.0,5082.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,3862.0,3840.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,310996.0,310996.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+359,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-07-24 18:48:54.000000,2023-04-30 18:36:20,483.0,,687.0,87.0,209.0,157.0,358.0,4848.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1716.0,1684.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,165017.0,168114.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,263288.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+360,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2025-02-17 20:48:16.000000,2025-02-17 20:48:16,6199.0,21.0,532.0,147.0,1955.0,338.0,1406.0,4629.0,ArrayFire: a general purpose GPU library.,96.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,3804.0,3871.0,,,,,,,,2.0,7862.0,,,,,,,,,,,,,,,,,,,
+361,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-12-30 18:30:47.586000,2022-04-01 13:57:36,131.0,,999.0,147.0,33.0,52.0,77.0,4592.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,10552.0,10455.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,279633.0,279975.0,https://anaconda.org/conda-forge/vadersentiment,2024-12-30 18:30:47.586,16108.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+362,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,413.0,36.0,57.0,138.0,46.0,4028.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],18744.0,18609.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,187445.0,187445.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+363,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,949.0,215.0,408.0,139.0,402.0,3850.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1090.0,1078.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1848.0,1848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+364,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,390.0,46.0,1086.0,4.0,353.0,3326.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1267.0,1237.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,16071.0,16071.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+365,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,450.0,81.0,245.0,69.0,155.0,3101.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,221.0,218.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,31541.0,31542.0,,,,,,,,2.0,94.0,,,,,,,,,,,,,,,,,,,
+366,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2025-02-18 20:31:51.000000,2025-02-05 15:49:41,8384.0,6.0,362.0,83.0,9847.0,101.0,349.0,3096.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",121.0,28,True,2024-11-22 21:35:10.000,0.38.0,602.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2025-02-14 19:53:27.000,4.0,23936.0,24199.0,,,,,,,,3.0,12099.0,,,,,,,,,,,,,,,,,,,
+367,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-08-29 16:58:41.000000,2024-08-29 16:58:41,621.0,,335.0,46.0,121.0,72.0,137.0,3019.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1490.0,1437.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,116290.0,118216.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,98246.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+368,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2025-01-29 16:47:15.000000,2025-01-29 16:46:20,3665.0,5.0,530.0,110.0,367.0,388.0,696.0,2973.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,893.0,873.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,12297.0,12297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+369,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2025-02-07 22:12:34.000000,2025-02-07 22:11:33,2313.0,7.0,722.0,78.0,206.0,202.0,472.0,2859.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",152.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,44197.0,44197.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+370,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,44.0,57.0,71.0,210.0,2374.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,False,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],385.0,378.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,12138.0,12138.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+371,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2025-01-21 07:40:09.000000,2024-12-11 16:12:58,739.0,7.0,225.0,41.0,563.0,140.0,235.0,2304.0,"Algorithms for outlier, adversarial and drift detection.",26.0,28,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,526.0,519.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,79625.0,79625.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+372,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-10-08 16:09:34.000000,2024-10-08 16:09:34,62.0,,526.0,43.0,29.0,49.0,81.0,2304.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",16.0,28,True,2024-10-08 01:42:18.000,1.0.0,12.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],7404.0,7331.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,137281.0,137527.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,14316.0,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,,
+373,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2025-02-20 12:53:48.000000,2023-06-01 12:18:23,739.0,,321.0,45.0,44.0,99.0,56.0,2260.0,A modular active learning framework for Python.,20.0,28,False,2025-02-20 12:53:48.000,0.73.59,1710.0,modAL,,,,['sklearn'],91.0,,https://pypi.org/project/modAL,2025-02-20 12:53:48.000,91.0,866416.0,866416.0,,,,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,,
+374,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-12-22 18:27:31.714000,2024-12-09 19:08:18,677.0,2.0,400.0,41.0,64.0,30.0,273.0,1972.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,2306.0,2284.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,33241.0,34136.0,https://anaconda.org/conda-forge/ogb,2024-12-22 18:27:31.714,47436.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+375,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,278.0,39.0,495.0,172.0,151.0,1819.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,28,False,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,204.0,196.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,188051.0,188058.0,,,,,,,,3.0,558.0,,,,,,,,,,,,,,,,,,,
+376,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-11-23 21:58:13.000000,2024-11-23 21:58:13,1066.0,1.0,228.0,52.0,213.0,32.0,292.0,1751.0,A full spaCy pipeline and models for scientific/biomedical documents.,37.0,28,True,2024-10-27 05:43:35.000,0.5.5,16.0,scispacy,,,,,1091.0,1057.0,https://pypi.org/project/scispacy,2024-10-27 05:43:35.000,34.0,31335.0,31335.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+377,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2025-01-05 07:18:55.544000,2023-10-08 14:28:43,1157.0,,213.0,36.0,1081.0,25.0,496.0,1746.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,28,False,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],312.0,307.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,1493.0,2119.0,https://anaconda.org/conda-forge/lightning-flash,2025-01-05 07:18:55.544,26333.0,,,,,2.0,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,
+378,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2025-02-10 11:24:47.000000,2025-02-10 11:24:42,837.0,4.0,323.0,119.0,794.0,229.0,168.0,1520.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",87.0,28,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,436678.0,436678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+379,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2024-11-19 00:49:33.596000,2024-09-18 16:03:14,147.0,,130.0,24.0,111.0,51.0,79.0,1379.0,Python 3.8+ toolbox for submitting jobs to Slurm.,25.0,28,True,2024-09-18 16:05:09.000,1.5.2,24.0,submitit,conda-forge/submitit,,,,3985.0,3936.0,https://pypi.org/project/submitit,2024-09-18 16:05:09.000,49.0,424569.0,425455.0,https://anaconda.org/conda-forge/submitit,2024-11-19 00:49:33.596,47867.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+380,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2025-01-19 19:00:46.000000,2025-01-19 19:00:40,552.0,10.0,121.0,21.0,406.0,40.0,293.0,1307.0,Extra blocks for scikit-learn pipelines.,68.0,28,True,2024-12-17 12:12:51.000,0.9.4,55.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],184.0,171.0,https://pypi.org/project/scikit-lego,2024-12-17 12:10:04.000,13.0,23491.0,24598.0,https://anaconda.org/conda-forge/scikit-lego,2024-07-10 21:13:14.463,63123.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+381,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2025-01-03 19:07:39.000000,2025-01-03 19:07:34,348.0,18.0,141.0,28.0,66.0,6.0,73.0,1304.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,28,True,2025-01-03 15:28:53.000,0.5.6,26.0,livelossplot,,,,['jupyter'],1796.0,1780.0,https://pypi.org/project/livelossplot,2025-01-03 15:28:53.000,16.0,22007.0,22007.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+382,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2025-02-13 22:55:49.000000,2025-02-13 22:55:48,1530.0,3.0,280.0,67.0,110.0,38.0,59.0,1261.0,Model analysis tools for TensorFlow.,59.0,28,True,2024-11-27 19:31:49.000,0.47.1,59.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-12-05 02:06:57.000,19.0,91912.0,91912.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+383,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-06-19 19:59:13.000000,2024-01-17 21:03:09,532.0,,416.0,52.0,41.0,17.0,139.0,1255.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,False,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,3015.0,2977.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,162302.0,163246.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,54767.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+384,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2024-12-20 17:07:42.391000,2024-11-22 14:04:30,811.0,,149.0,37.0,215.0,120.0,152.0,1254.0,Real-time stream processing for python.,49.0,28,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,579.0,522.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,18418.0,48603.0,https://anaconda.org/conda-forge/streamz,2024-12-20 17:07:42.391,1660189.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+385,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2025-01-21 14:05:47.000000,2025-01-21 14:04:12,836.0,11.0,132.0,29.0,446.0,88.0,344.0,1130.0,BAyesian Model-Building Interface (Bambi) in Python.,46.0,28,True,2024-12-21 18:08:46.000,0.15.0,30.0,bambi,conda-forge/bambi,,,,190.0,176.0,https://pypi.org/project/bambi,2024-12-21 18:08:46.000,14.0,33184.0,34073.0,https://anaconda.org/conda-forge/bambi,2024-12-23 13:13:40.970,44481.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+386,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2025-02-18 18:15:08.000000,2025-02-18 18:15:08,1383.0,15.0,148.0,26.0,495.0,24.0,139.0,927.0,A Comparative Framework for Multimodal Recommender Systems.,23.0,28,True,2024-12-24 18:14:45.000,2.3.0,60.0,cornac,conda-forge/cornac,,,,283.0,265.0,https://pypi.org/project/cornac,2024-12-24 07:20:48.000,18.0,30754.0,44349.0,https://anaconda.org/conda-forge/cornac,2024-12-24 16:50:48.705,761338.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+387,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-12-14 16:28:19.477000,2024-11-10 14:49:37,681.0,,107.0,14.0,100.0,73.0,67.0,913.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,28,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,9632.0,9476.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,1739599.0,1779504.0,https://anaconda.org/conda-forge/pynndescent,2024-12-14 16:28:19.477,2194792.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+388,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2025-01-06 12:55:27.000000,2025-01-06 12:55:27,1968.0,2.0,240.0,19.0,303.0,54.0,287.0,904.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",50.0,28,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,1546.0,1419.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,218074.0,222008.0,https://anaconda.org/conda-forge/salib,2024-12-27 14:23:52.383,204612.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+389,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2025-01-18 18:58:45.000000,2024-12-01 02:03:32,3719.0,3.0,331.0,65.0,691.0,39.0,537.0,846.0,The Classical Language Toolkit.,121.0,28,True,2024-12-01 02:04:06.000,1.4.0,218.0,cltk,,,,,304.0,287.0,https://pypi.org/project/cltk,2024-12-01 02:04:06.000,17.0,4329.0,4329.0,,,,,,,,2.0,114.0,,,,,,,,,,,,,,,,,,,
+390,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1178.0,238.0,458.0,75.0,265.0,18749.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,False,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,23581.0,23997.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,27905.0,3.0,,,,,,,,,,,,,,,,,,,,
+391,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2025-01-06 17:34:06.000000,2025-01-06 17:34:05,104.0,4.0,1876.0,212.0,77.0,114.0,41.0,10973.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,34.0,27,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,32845.0,32845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+392,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-11-04 14:34:30.000000,2024-11-04 14:34:28,348.0,,1377.0,422.0,51.0,105.0,88.0,10643.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2024-10-31 13:26:46.000,4.1.2,50.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-10-31 13:26:46.000,10.0,26735.0,26735.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+393,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1529.0,132.0,51.0,163.0,142.0,8024.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,188394.0,265476.0,,,,,,,,2.0,4547887.0,,,,,,,,,,,,,,,,,,,
+394,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,886.0,268.0,98.0,82.0,81.0,7358.0,Visualizations for machine learning datasets.,31.0,27,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],303.0,295.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,43594.0,43594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+395,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1610.0,455.0,699.0,36.0,441.0,7345.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,136.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,1815.0,1840.0,,,,,,,,2.0,2604.0,,,,,,,,,,,,,,,,,,,
+396,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-06-16 11:25:37.000000,2024-06-14 19:31:58,659.0,,1016.0,143.0,101.0,87.0,310.0,6529.0,A Python scikit for building and analyzing recommender systems.,46.0,27,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,141358.0,149738.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,460914.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+397,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1358.0,349.0,14.0,42.0,66.0,6485.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1576.0,1568.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,30511.0,30511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+398,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,MIT,2013-04-05 23:14:27.000,2024-12-03 17:50:20.000000,2024-12-03 17:50:20,6627.0,1.0,1586.0,625.0,2112.0,453.0,1338.0,6336.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",124.0,27,True,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,865.0,865.0,,,,,,,,3.0,18.0,,,,,,,numenta/nupic-legacy,,,,,,,,,,,,
+399,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2025-02-19 15:27:56.000000,2025-02-19 15:22:39,367.0,88.0,1126.0,120.0,114.0,67.0,485.0,5977.0,Backtest trading strategies in Python.,32.0,27,False,2025-02-19 15:27:56.000,0.6.2,3.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2025-02-19 15:27:56.000,,36147.0,36147.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+400,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,272.0,438.0,221.0,329.0,4829.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],337.0,335.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,711.0,711.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,
+401,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,,945.0,53.0,57.0,78.0,108.0,4712.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],2887.0,2836.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,97136.0,122178.0,,,,,,,,3.0,1577682.0,,,,,,,,,,,,,,,,,,,
+402,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2025-02-19 20:59:35.000000,2023-07-05 18:14:28,901.0,,560.0,103.0,621.0,99.0,608.0,4313.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,405014.0,406668.0,https://anaconda.org/conda-forge/yellowbrick,2025-01-02 09:53:39.149,89364.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+403,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2025-01-08 20:48:50.000000,2024-09-13 01:42:25,1464.0,,486.0,59.0,829.0,60.0,498.0,3992.0,NeuralProphet: A simple forecasting package.,56.0,27,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,,['pytorch'],8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,65326.0,65326.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+404,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2025-01-14 18:05:40.000000,2025-01-14 18:04:44,1207.0,1.0,443.0,82.0,56.0,63.0,205.0,3585.0,A library of reinforcement learning components and agents.,86.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],233.0,230.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1476.0,1701.0,https://anaconda.org/conda-forge/dm-acme,2025-01-04 15:21:52.213,11494.0,,,,,2.0,,,,,,,,google-deepmind/acme,,,,,,,,,,,,
+405,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1153.0,168.0,215.0,49.0,146.0,3537.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,730.0,725.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1577.0,1854.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,23276.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+406,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2025-02-13 15:22:05.000000,2024-12-20 21:19:02,1587.0,4.0,357.0,68.0,1460.0,118.0,88.0,3521.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,27,True,2024-12-20 21:57:28.000,1.3.1,20.0,lit-nlp,conda-forge/lit-nlp,,,,45.0,42.0,https://pypi.org/project/lit-nlp,2024-12-20 21:27:54.000,3.0,2515.0,4528.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,106707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+407,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-08-11 08:09:18.000000,2024-06-22 17:36:10,1146.0,,257.0,64.0,121.0,7.0,294.0,3455.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,,693.0,678.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,21086.0,21116.0,,,,,,,,3.0,2189.0,,,,,,,,,,,,,,,,,,,
+408,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2025-02-07 18:05:56.000000,2025-02-07 18:03:57,996.0,1.0,590.0,95.0,341.0,28.0,763.0,3412.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,27,True,2025-02-07 18:05:56.000,1.1.2,78.0,pomegranate,conda-forge/pomegranate,,,,67.0,,https://pypi.org/project/pomegranate,2025-02-07 18:05:56.000,67.0,15438.0,18870.0,https://anaconda.org/conda-forge/pomegranate,2024-12-22 12:38:32.174,195631.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+409,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-08-03 07:04:44.000000,2024-01-02 20:16:48,4161.0,,377.0,87.0,66.0,160.0,189.0,3384.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,525.0,508.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,6892.0,15064.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,776405.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+410,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-11-04 00:31:30.000000,2024-11-03 09:05:19,317.0,,349.0,29.0,340.0,95.0,41.0,3096.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,27,True,2024-11-02 17:52:58.000,0.2.14-alpha.1,15.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],1246.0,1240.0,https://pypi.org/project/lazypredict,2024-11-02 17:53:53.000,6.0,17473.0,17571.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,4119.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+411,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-12-29 14:25:03.416000,2023-06-20 03:14:12,435.0,,300.0,32.0,477.0,54.0,30.0,3082.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,27,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,197175.0,197459.0,https://anaconda.org/conda-forge/torch-optimizer,2024-12-29 14:25:03.416,13073.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+412,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-07-25 18:53:58.000000,2024-07-25 18:53:58,2707.0,,402.0,36.0,524.0,68.0,219.0,3067.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,27,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,361.0,350.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,4868.0,5048.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,9545.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+413,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2025-01-07 14:31:32.161000,2023-11-29 13:26:08,135.0,,277.0,54.0,21.0,45.0,97.0,2983.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,27,False,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2845.0,2815.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,66720.0,67540.0,https://anaconda.org/conda-forge/sweetviz,2025-01-07 14:31:32.161,39382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+414,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,431.0,62.0,933.0,325.0,747.0,2973.0,StellarGraph - Machine Learning on Graphs.,40.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],301.0,290.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,3552.0,3552.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+415,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,,804.0,181.0,75.0,21.0,565.0,2924.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,43186.0,43988.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,53767.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+416,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,,425.0,47.0,367.0,27.0,350.0,2829.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,27,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,689.0,675.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,4263.0,4565.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,16647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+417,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2025-01-09 04:44:34.587000,2020-03-16 04:26:47,75.0,,226.0,63.0,42.0,18.0,24.0,2797.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,27,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,1296.0,1291.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,45529.0,63140.0,https://anaconda.org/conda-forge/knockknock,2025-01-09 04:44:34.587,17611.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+418,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-11-15 23:43:58.000000,2024-11-15 23:43:54,3557.0,,334.0,153.0,1184.0,35.0,60.0,2740.0,Neural Network Libraries.,76.0,27,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,12068.0,12079.0,,,,,,,,3.0,1039.0,,,,,,,,,,,,,,,,,,,
+419,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2025-01-18 22:27:53.504000,2024-08-12 14:54:41,1058.0,,411.0,123.0,145.0,198.0,247.0,2690.0,PYthon svg GrAph plotting Library.,77.0,27,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,232136.0,236556.0,https://anaconda.org/conda-forge/pygal,2025-01-18 22:27:53.504,110509.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+420,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,257.0,28.0,1132.0,78.0,224.0,2656.0,Database system for AI-powered apps.,72.0,27,False,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],150.0,150.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,933.0,14452.0,,,,,,,,3.0,419109.0,,,,,,,georgia-tech-db/evadb,,,,,,,,,,,,
+421,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2025-02-13 21:26:22.000000,2025-02-13 21:26:22,163.0,17.0,355.0,29.0,356.0,44.0,358.0,2652.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,16.0,27,True,2025-01-28 20:27:27.000,1.1.0,23.0,adapter-transformers,,,,['huggingface'],179.0,167.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,4577.0,4577.0,,,,,,,,3.0,,,,,,,,adapter-hub/adapters,,,,,,,,,,,,
+422,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-12-16 00:39:00.000000,2024-12-06 11:28:50,668.0,5.0,252.0,55.0,674.0,151.0,225.0,2449.0,Algorithms for explaining machine learning models.,22.0,27,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,742.0,717.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,13023.0,13023.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+423,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-08-20 05:47:39.000000,2018-08-19 12:37:47,130.0,,284.0,63.0,61.0,31.0,39.0,2431.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,27,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],6021.0,5936.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,365353.0,367505.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,195906.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+424,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,250.0,86.0,124.0,35.0,230.0,2217.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1998.0,1932.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,28117.0,30087.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,183248.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+425,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,318.0,62.0,38.0,97.0,160.0,2179.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],396.0,390.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,11779.0,11779.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+426,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2025-02-20 13:38:20.000000,2025-02-20 13:38:18,2353.0,23.0,136.0,28.0,277.0,6.0,44.0,2107.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,27,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,219.0,205.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,3898.0,3898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+427,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2025-02-17 23:27:01.457000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2072.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2534.0,2520.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,80655.0,84467.0,https://anaconda.org/anaconda/efficientnet,2025-02-17 23:27:01.457,560.0,,,,,3.0,262345.0,,,,,,,,,,,,,,,,,,,
+428,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2025-02-20 07:08:40.000000,2025-02-20 05:49:08,6766.0,111.0,314.0,46.0,3118.0,177.0,1634.0,1871.0,cuGraph - RAPIDS Graph Analytics Library.,119.0,27,True,2024-12-11 21:47:02.000,24.12.00,42.0,cugraph,conda-forge/libcugraph,,,,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,315.0,917.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,27699.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+429,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-10-29 10:43:38.000000,2024-10-29 10:43:38,3929.0,,299.0,30.0,582.0,102.0,723.0,1835.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,81.0,27,True,2024-10-29 08:53:47.000,0.6.0,9.0,avalanche-lib,,,,,127.0,124.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,1384.0,1385.0,,,,,,,,3.0,50.0,,,,,,,,,,,,,,,,,,,
+430,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2025-01-16 11:07:39.867000,2023-06-20 13:16:50,391.0,,165.0,25.0,82.0,51.0,36.0,1800.0,A Python package for time series classification.,14.0,27,False,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,818.0,773.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,113276.0,114038.0,https://anaconda.org/conda-forge/pyts,2025-01-16 11:07:39.867,30492.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+431,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-09-08 19:48:30.000000,2024-09-08 00:19:34,1851.0,,392.0,49.0,136.0,30.0,435.0,1786.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,27,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,,314.0,299.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,5556.0,5669.0,,,,,,,,2.0,12163.0,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,
+432,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,54.0,446.0,6.0,402.0,1749.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],235.0,232.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,28525.0,28621.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,4418.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+433,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2024-12-28 04:41:37.133000,2023-08-12 06:34:27,161.0,,288.0,51.0,89.0,24.0,191.0,1653.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,27,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],708.0,689.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,17192.0,17351.0,https://anaconda.org/conda-forge/gplearn,2024-12-28 04:41:37.133,8921.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+434,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1482.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,420.0,418.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,1816.0,1816.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+435,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2025-02-17 01:08:41.000000,2025-01-13 01:13:14,3082.0,7.0,126.0,36.0,387.0,15.0,191.0,1461.0,Multi-class confusion matrix library in Python.,18.0,27,True,2025-01-14 14:11:24.000,4.2,46.0,pycm,,,,,396.0,372.0,https://pypi.org/project/pycm,2025-01-14 14:11:48.000,24.0,38525.0,38525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+436,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2025-02-12 20:53:07.000000,2025-02-12 20:53:06,689.0,2.0,169.0,50.0,165.0,25.0,385.0,1403.0,moDel Agnostic Language for Exploration and eXplanation.,27.0,27,False,2025-02-12 20:48:06.000,1.7.2,29.0,dalex,conda-forge/dalex,,,,215.0,208.0,https://pypi.org/project/dalex,2025-02-12 20:48:06.000,7.0,26387.0,26799.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,20217.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+437,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,,208.0,43.0,259.0,68.0,214.0,1394.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,493.0,466.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2857.0,2857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+438,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-07-26 06:19:42.000000,2020-10-14 13:22:39,167.0,,408.0,73.0,89.0,36.0,26.0,1339.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1609.0,1553.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,28490.0,28881.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,32850.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+439,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2025-02-02 02:52:17.000000,2025-02-02 02:51:24,72.0,5.0,300.0,55.0,67.0,15.0,113.0,1334.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,27,True,2025-02-02 02:52:17.000,0.6.4,26.0,stockstats,,,,,1185.0,1173.0,https://pypi.org/project/stockstats,2025-02-02 02:52:17.000,12.0,11763.0,11763.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+440,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,333.0,40.0,302.0,32.0,200.0,1305.0,A research toolkit for particle swarm optimization in Python.,45.0,27,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,518.0,496.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,37725.0,37725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+441,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,177.0,25.0,36.0,1.0,116.0,1266.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1806.0,1785.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,81651.0,81651.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+442,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2025-02-06 20:19:28.000000,2024-07-09 16:09:26,3066.0,,268.0,33.0,38.0,1.0,500.0,1247.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,27,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,,['tensorflow'],570.0,566.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,6323.0,6323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+443,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-11-08 16:30:13.279000,2024-02-08 16:58:25,2080.0,,250.0,40.0,39.0,76.0,591.0,1180.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,834.0,802.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,33066.0,35372.0,https://anaconda.org/conda-forge/pyclustering,2024-11-08 16:30:13.279,126523.0,,,,,3.0,660.0,,,,,,,,,,,,,,,,,,,
+444,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-12-26 11:00:01.158000,2024-02-29 13:41:11,1144.0,,244.0,62.0,249.0,5.0,367.0,994.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,652.0,618.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,22692.0,23381.0,https://anaconda.org/conda-forge/sentinelsat,2024-12-26 11:00:01.158,35701.0,,,,,3.0,331.0,,,,,,,,,,,,,,,,,,,
+445,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2025-02-07 20:21:41.000000,2025-02-07 20:21:39,946.0,3.0,215.0,58.0,104.0,39.0,178.0,986.0,Input pipeline framework.,29.0,27,True,2024-10-28 22:13:18.000,1.16.0,58.0,tensorflow-transform,,,,['tensorflow'],18.0,,https://pypi.org/project/tensorflow-transform,2024-10-28 22:32:45.000,18.0,359226.0,359226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+446,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2024-10-10 15:48:16.000000,2023-02-20 00:24:10,1723.0,,190.0,41.0,176.0,72.0,174.0,957.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,76553.0,84113.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,638778.0,,,,,3.0,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,1477.0,,,,,,,,,,,,,,
+447,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,176.0,32.0,86.0,88.0,123.0,928.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1967.0,1942.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,74025.0,74025.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+448,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-07-18 20:23:32.152000,2024-07-17 19:01:14,1326.0,,149.0,49.0,59.0,21.0,70.0,858.0,Computer Vision in Python.,35.0,27,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,1499.0,1436.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,19105.0,29772.0,https://anaconda.org/conda-forge/mahotas,2024-07-18 20:23:32.152,597358.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+449,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2024-12-26 15:28:39.188000,2021-02-11 16:40:18,279.0,,83.0,12.0,51.0,22.0,53.0,831.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,27,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,5973.0,5896.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,1086652.0,1086863.0,https://anaconda.org/conda-forge/pysbd,2024-12-26 15:28:39.188,8470.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+450,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2025-01-26 14:57:27.000000,2025-01-26 14:57:27,641.0,7.0,102.0,24.0,118.0,4.0,114.0,727.0,Python library for reading audio file metadata.,27.0,27,True,2024-11-03 22:13:25.000,2.0.0,42.0,tinytag,,,,,1259.0,1146.0,https://pypi.org/project/tinytag,2024-11-03 15:25:04.000,113.0,48563.0,48563.0,,,,,,,,3.0,,,,,,,,tinytag/tinytag,,,,,,,,,,,,
+451,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2025-02-18 09:00:47.000000,2025-02-18 09:00:47,646.0,12.0,163.0,30.0,237.0,3.0,106.0,663.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,36.0,27,True,2025-02-12 12:43:47.000,0.8,14.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],457.0,429.0,https://pypi.org/project/pyriemann,2025-02-12 12:44:20.000,28.0,44672.0,45008.0,https://anaconda.org/conda-forge/pyriemann,2025-02-12 14:46:14.387,10755.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+452,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-07-03 17:04:15.000000,2024-07-03 17:02:18,237.0,,60.0,15.0,207.0,12.0,187.0,348.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,27,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,10421.0,10260.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,742467.0,773784.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2975181.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+453,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2025-02-20 02:48:43.000000,2025-02-20 02:48:39,4865.0,912.0,64.0,7.0,452.0,42.0,138.0,280.0,Python recommendation toolkit.,29.0,27,False,2024-02-16 21:04:30.000,0.14.4,42.0,lenskit,conda-forge/lenskit,,,,142.0,129.0,https://pypi.org/project/lenskit,2025-02-19 17:26:07.000,13.0,2713.0,3500.0,https://anaconda.org/conda-forge/lenskit,2024-12-30 17:12:36.573,40154.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+454,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1234.0,186.0,213.0,32.0,534.0,9643.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,335.0,,,,,,,,3.0,16440.0,,,,,,,,,,,,,,,,,,,
+455,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2024-07-03 08:05:36.000000,2020-05-03 07:13:22,108.0,,603.0,142.0,31.0,69.0,55.0,5630.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1955.0,1899.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1699216.0,1699590.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,20623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+456,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,64.0,136.0,74.0,5096.0,Image augmentation library in Python for machine learning.,23.0,26,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,887.0,875.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,7722.0,7722.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+457,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-06-09 21:29:46.000000,2024-06-09 21:29:43,1062.0,,1021.0,244.0,218.0,52.0,203.0,4655.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,68.0,67.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,2059.0,2157.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,4531.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+458,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-11-27 09:38:10.000000,2024-11-27 09:38:09,1139.0,1.0,748.0,60.0,1015.0,187.0,743.0,4440.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,26,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],206.0,202.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,4995.0,4995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+459,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-08-09 13:30:50.391000,2024-07-18 16:46:48,557.0,,747.0,176.0,90.0,1.0,288.0,4392.0,A python wrapper for Alpha Vantage API for financial data.,44.0,26,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,51520.0,51692.0,https://anaconda.org/conda-forge/alpha_vantage,2024-08-09 13:30:50.391,8469.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+460,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,280.0,226.0,13.0,356.0,3875.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,26,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,134570.0,135003.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,26905.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+461,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2025-02-13 11:28:05.000000,2025-02-13 11:28:05,1694.0,18.0,694.0,46.0,35.0,7.0,592.0,3745.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,33.0,26,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],24.0,24.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,949.0,949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+462,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-12-09 23:31:50.000000,2024-12-09 23:29:52,2914.0,39.0,726.0,154.0,65.0,8.0,863.0,3326.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,36.0,26,True,2024-12-04 19:30:00.000,1.8.0,22.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,922.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,73664.0,,,,,3.0,4825.0,,,,,,,,,,,,,,,,,,,
+463,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,,530.0,141.0,240.0,43.0,635.0,3301.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,26,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],460.0,456.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,791.0,791.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+464,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,214.0,3649.0,429.0,1111.0,3034.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1749.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,158380.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1527.0,3.0,,,,,,,,,,shogun,,,,,,,,,,
+465,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,68.0,168.0,164.0,113.0,2763.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,61.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,61.0,172666.0,174554.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,175667.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+466,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2025-02-09 06:58:44.000000,2025-02-09 06:58:30,1959.0,8.0,375.0,38.0,98.0,41.0,158.0,2731.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,36.0,26,True,2025-02-09 07:03:04.000,0.55.0,46.0,torch-geometric-temporal,,,,['pytorch'],7.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,7.0,2817.0,2817.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+467,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2025-01-05 13:34:23.940000,2024-12-10 03:08:33,438.0,1.0,842.0,90.0,293.0,200.0,104.0,2523.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,602.0,570.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,21431.0,21803.0,https://anaconda.org/conda-forge/aif360,2025-01-05 13:34:23.940,19757.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+468,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,720.0,168.0,94.0,136.0,358.0,2512.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,30.0,28.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,695.0,695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+469,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-07-27 16:14:52.000000,2024-07-27 16:14:15,696.0,,254.0,34.0,148.0,24.0,146.0,2447.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,276.0,267.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,9.0,23828.0,23834.0,,,,,,,,3.0,344.0,,,,,,,,,,,,,,,,,,,
+470,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,617.0,87.0,29.0,25.0,52.0,2388.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,26,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,902.0,848.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,66637.0,66637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+471,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,338.0,78.0,55.0,170.0,68.0,2322.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1479.0,1430.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,47477.0,47477.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+472,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-09-23 05:35:47.000000,2024-09-23 05:24:01,389.0,,291.0,55.0,14.0,22.0,80.0,2279.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,659.0,654.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,11147.0,12340.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,107398.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+473,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-11-22 16:48:16.000000,2024-02-28 15:45:58,1631.0,,250.0,66.0,63.0,32.0,199.0,2192.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,26,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,1566.0,1566.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+474,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,65.0,161.0,13.0,92.0,2166.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,826.0,807.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,69183.0,69183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+475,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2025-01-17 18:33:47.947000,2024-06-10 12:07:33,223.0,,200.0,33.0,20.0,2.0,96.0,1775.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,26,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,832.0,821.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,16568.0,18409.0,https://anaconda.org/conda-forge/autoviz,2025-01-17 18:33:47.947,77335.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+476,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-11-25 22:37:09.000000,2024-11-25 22:31:52,1041.0,2.0,601.0,103.0,296.0,22.0,300.0,1589.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,26,True,2024-11-25 22:37:09.000,2.13.0,36.0,tabpy,anaconda/tabpy-client,,,,195.0,193.0,https://pypi.org/project/tabpy,2024-11-25 22:37:09.000,2.0,7088.0,7140.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4943.0,,,,,3.0,,,,,,,,,-2.0,,,,,,,,,,,
+477,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,310.0,28.0,381.0,56.0,155.0,1578.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],64.0,63.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,1827.0,1827.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+478,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-11-16 19:42:02.087000,2024-10-24 16:30:49,696.0,,166.0,22.0,128.0,10.0,131.0,1496.0,"Extensible, parallel implementations of t-SNE.",13.0,26,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,1022.0,975.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,41189.0,48622.0,https://anaconda.org/conda-forge/opentsne,2024-11-16 19:42:02.087,401423.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+479,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2024-10-27 05:01:35.000000,2024-10-27 05:01:33,863.0,,276.0,80.0,493.0,61.0,207.0,1469.0,Underthesea - Vietnamese NLP Toolkit.,19.0,26,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,,1409.0,1394.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,15.0,13856.0,13939.0,,,,,,,,3.0,7728.0,,,,,,,,,,,,,,,,,,,
+480,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2025-02-18 01:21:39.000000,2025-02-18 01:21:38,1082.0,5.0,122.0,23.0,117.0,37.0,58.0,1426.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",25.0,26,True,2024-10-15 14:24:34.000,2.0.0,50.0,imodels,,,,,120.0,111.0,https://pypi.org/project/imodels,2024-10-15 14:23:49.000,9.0,24314.0,24314.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+481,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2025-01-06 10:54:43.934000,2024-08-03 19:34:12,297.0,,231.0,46.0,186.0,53.0,121.0,1408.0,Metric learning algorithms in Python.,23.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],461.0,454.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,7242.0,7512.0,https://anaconda.org/conda-forge/metric-learn,2025-01-06 10:54:43.934,14856.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+482,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2025-02-19 02:22:46.000000,2025-02-19 02:22:44,2683.0,85.0,99.0,20.0,1312.0,94.0,249.0,1181.0,"MetricFlow allows you to define, build, and maintain metrics in code.",47.0,26,False,2025-01-28 02:45:39.000,0.207.1,90.0,metricflow,,,,,33.0,29.0,https://pypi.org/project/metricflow,2025-01-25 20:52:59.000,4.0,40274.0,40274.0,,,,,,,,3.0,,,,,,,,dbt-labs/metricflow,,,,,,,,,,,,
+483,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2025-02-19 16:59:57.000000,2025-02-19 14:28:48,2077.0,3.0,230.0,42.0,629.0,109.0,467.0,1118.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,43.0,26,False,2025-01-23 12:13:15.000,.2.3.1,50.0,smac,conda-forge/smac,,,,42.0,,https://pypi.org/project/smac,2025-01-21 09:03:42.000,42.0,18484.0,19102.0,https://anaconda.org/conda-forge/smac,2025-01-22 17:08:53.011,29074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+484,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2025-01-30 07:46:51.000000,2025-01-30 07:46:47,982.0,5.0,174.0,48.0,89.0,39.0,145.0,768.0,Library for exploring and validating machine learning data.,27.0,26,True,2024-10-15 19:51:40.000,1.16.1,48.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-15 20:20:03.000,31.0,162009.0,162021.0,,,,,,,,3.0,951.0,,,,,,,,,,,,,,,,,,,
+485,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-10-24 21:42:13.000000,2024-10-24 21:41:40,887.0,,148.0,28.0,98.0,47.0,76.0,637.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,21.0,26,True,2024-10-01 23:08:54.000,1.16.0,44.0,ml-metadata,,,,,676.0,645.0,https://pypi.org/project/ml-metadata,2024-10-01 23:08:54.000,31.0,185627.0,185668.0,,,,,,,,3.0,2974.0,,,,,,,,,,,,,,,,,,,
+486,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-06-05 18:36:28.000000,2023-08-23 17:20:54,1241.0,,160.0,18.0,717.0,42.0,208.0,515.0,A package built to support working with spatial data using open source python.,44.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,412.0,395.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,9388.0,10648.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,88206.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+487,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2024-06-18 11:08:22.000000,2019-12-05 08:17:22,46.0,,215.0,22.0,17.0,46.0,23.0,426.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],8334.0,8195.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,325042.0,325754.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,41332.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+488,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-12-23 10:34:02.342000,2024-12-18 12:56:13,545.0,5.0,40.0,5.0,16.0,3.0,60.0,358.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,15.0,26,True,2024-12-18 12:59:40.000,0.11.2,30.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],1061.0,998.0,https://pypi.org/project/scikit-posthocs,2024-12-18 12:59:40.000,63.0,85781.0,105109.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-12-23 10:34:02.342,1005056.0,,,,,3.0,66.0,,,,,,,,,,,,,,,,,,,
+489,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,802.0,169.0,1588.0,145.0,74.0,6338.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,301.0,306.0,,,,,,,,3.0,437.0,,,,,,,,,,,,,,,,,,,
+490,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,965.0,181.0,328.0,337.0,294.0,5803.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,146.0,146.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,564.0,608.0,,,,,,,,2.0,3859.0,,,,,,,,,,,,,,,,,,,
+491,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,990.0,49.0,34.0,68.0,113.0,5413.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],268.0,253.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,4401.0,4401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+492,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2025-02-20 11:46:38.000000,2025-02-20 11:46:38,3804.0,71.0,630.0,92.0,4177.0,251.0,1428.0,5282.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,95.0,25,True,2025-01-31 17:44:28.000,1.46.0,87.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+493,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-12-19 20:40:15.000000,2024-12-19 20:39:47,524.0,3.0,457.0,64.0,96.0,41.0,88.0,5252.0,Finding duplicate images made easy!.,16.0,25,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],176.0,171.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,13389.0,13389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+494,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4691.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],808.0,802.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,840.0,840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+495,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,453.0,45.0,56.0,95.0,175.0,4468.0,An Open-Source Framework for Prompt-Learning.,24.0,25,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,172.0,169.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,5122.0,5122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+496,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,134.0,649.0,65.0,198.0,3907.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,1102.0,1102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+497,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2025-02-20 09:29:57.000000,2025-02-20 09:29:57,4358.0,5.0,627.0,43.0,1018.0,289.0,716.0,3595.0,"A unified, comprehensive and efficient recommendation library.",75.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,40732.0,40879.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,7503.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+498,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-10-16 14:48:03.000000,2024-10-16 14:45:12,235.0,,324.0,89.0,102.0,51.0,32.0,3564.0,Python library that makes it easy for data scientists to create charts.,27.0,25,True,2024-10-16 14:48:03.000,5.0.1,27.0,chartify,conda-forge/chartify,,,,89.0,80.0,https://pypi.org/project/chartify,2024-10-16 14:48:03.000,9.0,1413.0,1888.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,35666.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+499,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2025-01-25 03:17:32.000000,2025-01-25 03:08:48,183.0,2.0,412.0,156.0,86.0,105.0,101.0,3389.0,A deep learning library for video understanding research.,58.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,43972.0,43972.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+500,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2025-01-21 04:42:35.000000,2024-10-24 16:27:28,480.0,,279.0,51.0,477.0,69.0,261.0,3388.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-10-25 17:04:56.000,0.4.12,25.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,7.0,,https://pypi.org/project/hummingbird-ml,2024-10-25 17:04:56.000,7.0,5164.0,6353.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-11-20 06:18:08.919,55291.0,,,,,2.0,789.0,,,,,,,,,,,,,,,,,,,
+501,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,661.0,69.0,25.0,117.0,101.0,2987.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],3020.0,3019.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1435.0,1435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+502,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,478.0,96.0,49.0,65.0,254.0,2865.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,766.0,745.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,2994.0,3356.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,21058.0,,,,,3.0,1155.0,,,,,,,,,,,,,,,,,,,
+503,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,241.0,49.0,483.0,57.0,70.0,2849.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,297.0,294.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,19879.0,19880.0,,,,,,,,2.0,96.0,,,,,,,,,,,,,,,,,,,
+504,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,,477.0,96.0,44.0,91.0,240.0,2763.0,Learning to Rank in TensorFlow.,36.0,25,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,51342.0,51342.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+505,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2025-02-19 11:28:23.000000,2025-02-03 12:43:27,770.0,1.0,366.0,78.0,567.0,144.0,95.0,2760.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,25,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,89518.0,89518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+506,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-10-23 15:36:38.000000,2023-07-23 14:42:27,191.0,,494.0,38.0,251.0,52.0,292.0,2703.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,47805.0,48061.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,9755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+507,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-12-01 16:24:05.000000,2024-11-29 04:22:46,558.0,11.0,231.0,40.0,137.0,63.0,127.0,2418.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,31.0,25,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,8233.0,8233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+508,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,252.0,55.0,56.0,19.0,50.0,2215.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],783.0,764.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,12964.0,12964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+509,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,,89.0,41.0,59.0,13.0,79.0,2207.0,The friendly PIL fork.,434.0,25,False,,,72.0,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,21336.0,21336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+510,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,240.0,70.0,21.0,93.0,66.0,2116.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,286.0,282.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,92558.0,92558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+511,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2025-01-27 00:24:43.024000,2024-08-31 13:01:11,360.0,,318.0,1.0,1.0,1.0,,1975.0,Feature engineering package with sklearn like functionality.,49.0,25,True,2025-01-22 15:27:15.000,1.8.3,43.0,feature_engine,conda-forge/feature_engine,,,,176.0,,https://pypi.org/project/feature_engine,2025-01-22 15:27:15.000,176.0,222603.0,223838.0,https://anaconda.org/conda-forge/feature_engine,2025-01-27 00:24:43.024,66710.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+512,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2025-02-10 10:58:59.000000,2025-02-10 10:58:55,893.0,3.0,444.0,59.0,364.0,117.0,93.0,1947.0,Library for training machine learning models with privacy for training data.,60.0,25,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,19157.0,19159.0,,,,,,,,2.0,187.0,,,,,,,,,,,,,,,,,,,
+513,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,310.0,56.0,1313.0,235.0,810.0,1921.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],122.0,118.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,1009.0,1009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+514,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,,161.0,60.0,68.0,67.0,130.0,1832.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,25,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,500.0,498.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,473.0,473.0,,,,,,,,3.0,68.0,,,,,,,,,,,,,,,,,,,
+515,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2025-02-14 20:45:09.000000,2025-02-14 20:36:30,1054.0,20.0,279.0,43.0,898.0,85.0,66.0,1685.0,A lightweight library for PyTorch training tools and utilities.,143.0,25,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,4869.0,4869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+516,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,,269.0,27.0,187.0,11.0,390.0,1628.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,25,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],211.0,203.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1359.0,1359.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+517,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2025-02-15 22:32:23.280000,2025-01-10 08:23:06,1039.0,2.0,181.0,17.0,78.0,27.0,372.0,1606.0,PyTorch Extension Library of Optimized Scatter Operations.,32.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,42694.0,56003.0,https://anaconda.org/conda-forge/pytorch_scatter,2025-02-15 22:32:23.280,745333.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+518,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-12-04 03:48:36.000000,2022-08-31 01:52:51,509.0,,308.0,101.0,49.0,8.0,151.0,1572.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-12-04 03:48:36.000,6.2.1,46.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",,,https://pypi.org/project/elephas,2024-12-04 03:48:36.000,,43741.0,43991.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,16504.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+519,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,43.0,12.0,4.0,51.0,1568.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],283.0,279.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,144384.0,144384.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+520,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2025-02-06 20:10:42.000000,2025-02-06 20:10:36,1230.0,4.0,122.0,28.0,73.0,4.0,29.0,1533.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,8.0,25,True,2024-11-21 20:06:59.000,0.8.0,30.0,pytorch_toolbelt,,,,['pytorch'],12.0,,https://pypi.org/project/pytorch_toolbelt,2024-11-21 20:06:59.000,12.0,12063.0,12064.0,,,,,,,,2.0,135.0,,,,,,,,,,,,,,,,,,,
+521,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-12-09 14:53:25.000000,2024-12-09 14:53:25,613.0,1.0,424.0,31.0,52.0,18.0,133.0,1477.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,30.0,25,False,2024-08-23 12:23:48.000,2.3.3,26.0,minisom,,,,,793.0,762.0,https://pypi.org/project/minisom,2024-08-23 12:22:45.000,31.0,23808.0,23808.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+522,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2025-02-07 15:09:04.000000,2025-02-07 15:09:02,1975.0,5.0,383.0,35.0,2289.0,86.0,235.0,1463.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,25,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,7291.0,7291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+523,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2024-08-01 05:16:36.000000,2023-11-06 15:20:05,206.0,,330.0,47.0,44.0,101.0,116.0,1433.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,False,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],651.0,643.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,18990.0,54482.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,360.0,,,,,3.0,1880728.0,,,,,,,,,,,,,,,,,,,
+524,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,402.0,90.0,165.0,103.0,224.0,1369.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],46.0,46.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,175.0,175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+525,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,33.0,68.0,57.0,206.0,1286.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,25,False,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],148.0,146.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,971.0,976.0,,,,,,,,3.0,179.0,,,,,,,,,,,,,,,,,,,
+526,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,120.0,11.0,23.0,29.0,16.0,1166.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,7743.0,7271.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,570764.0,570764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+527,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2025-02-20 14:15:03.000000,2024-12-15 20:03:00,796.0,3.0,71.0,17.0,135.0,56.0,120.0,1083.0,Visualize large time series data with plotly.py.,14.0,25,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1747.0,1723.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,24.0,418548.0,421129.0,https://anaconda.org/conda-forge/plotly-resampler,2024-12-05 23:08:14.776,95533.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+528,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,261.0,44.0,72.0,104.0,188.0,937.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,591.0,554.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,6249.0,6249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+529,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2025-01-03 15:22:16.978000,2024-06-12 05:36:27,401.0,,156.0,17.0,73.0,35.0,110.0,749.0,Ternary plotting library for python with matplotlib.,28.0,25,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,237.0,205.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,21863.0,23899.0,https://anaconda.org/conda-forge/python-ternary,2025-01-03 15:22:16.978,97767.0,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,,
+530,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-10-29 13:01:54.000000,2024-10-29 13:01:54,487.0,,50.0,9.0,66.0,192.0,261.0,677.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,1024.0,947.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,77.0,67773.0,71566.0,https://anaconda.org/conda-forge/pyvips,2024-09-06 03:01:34.001,197261.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+531,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2025-01-03 16:21:31.009000,2022-02-11 07:59:35,77.0,,72.0,8.0,17.0,11.0,12.0,517.0,Find pyspark to make it importable.,15.0,25,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],5267.0,5164.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2123064.0,2148451.0,https://anaconda.org/conda-forge/findspark,2025-01-03 16:21:31.009,939322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+532,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2025-01-08 06:04:06.000000,2025-01-08 06:03:58,776.0,10.0,87.0,12.0,32.0,9.0,51.0,404.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,19.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,520.0,476.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,276421.0,278183.0,https://anaconda.org/conda-forge/pymap3d,2024-12-25 07:49:33.909,93421.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+533,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-12-24 16:12:08.000000,2024-12-24 16:12:08,6798.0,3.0,145.0,35.0,414.0,37.0,141.0,386.0,Neuroimaging in Python FMRI analysis package.,71.0,25,False,2024-10-06 19:42:32.000,0.6.1,9.0,nipy,conda-forge/nipy,,,,263.0,239.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,3324.0,24047.0,https://anaconda.org/conda-forge/nipy,2024-07-28 17:27:34.085,145062.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+534,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2025-02-13 09:54:54.000000,2025-02-13 09:54:54,595.0,25.0,61.0,41.0,356.0,23.0,65.0,319.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",44.0,25,True,2025-01-13 02:55:02.000,1.8.1,87.0,gokart,,,,,92.0,84.0,https://pypi.org/project/gokart,2025-01-13 02:55:02.000,8.0,4559.0,4559.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+535,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2025-02-10 16:31:13.000000,2025-02-10 16:31:11,1067.0,124.0,8.0,4.0,255.0,15.0,39.0,218.0,Beautiful ridgeline plots in Python.,4.0,25,False,2024-12-24 18:09:19.000,0.3.1,29.0,ridgeplot,,,https://ridgeplot.readthedocs.io/,,194.0,189.0,https://pypi.org/project/ridgeplot,2024-12-24 18:08:30.000,5.0,25384.0,25384.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,,
+536,pandas-ai,gventuri/pandas-ai,others,,https://github.com/sinaptik-ai/pandas-ai,https://github.com/sinaptik-ai/pandas-ai,,2023-04-22 12:58:01.000,2025-02-18 21:06:48.000000,2025-02-18 21:06:48,1277.0,140.0,1444.0,122.0,632.0,36.0,764.0,14653.0,"Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs..",102.0,24,False,2025-01-02 18:10:58.000,2.4.2,100.0,pandas-ai,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,,,,,sinaptik-ai/pandas-ai,,,,,,,,,,,,
+537,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2025-01-14 20:40:43.646000,2025-01-12 16:40:30,205.0,4.0,537.0,79.0,40.0,63.0,28.0,11517.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",19.0,24,False,2025-01-12 16:41:58.000,1.3.2,15.0,prettymaps,conda-forge/prettymaps,,,,68.0,68.0,https://pypi.org/project/prettymaps,2025-01-12 16:41:58.000,,956.0,1080.0,https://anaconda.org/conda-forge/prettymaps,2025-01-14 20:40:43.646,4600.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+538,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2025-02-03 18:17:24.000000,2025-02-03 18:04:15,1100.0,1.0,924.0,113.0,676.0,146.0,543.0,5529.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,120.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],22.0,21.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,496.0,496.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+539,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2025-02-05 16:32:58.000000,2025-02-05 16:15:56,226.0,1.0,299.0,78.0,183.0,24.0,54.0,4989.0,"A data augmentations library for audio, image, text, and video.",38.0,24,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,168.0,164.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,3361.0,3361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+540,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4937.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1168.0,1152.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,869.0,880.0,,,,,,,,3.0,983.0,,,,,,,,,,,,,,,,,,,
+541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,,1032.0,89.0,65.0,271.0,270.0,4803.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,32799.0,32799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+542,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1385.0,355.0,59.0,51.0,,4487.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,202.0,202.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,825.0,825.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+543,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,727.0,63.0,247.0,130.0,825.0,4222.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",115.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,4302.0,4302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+544,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,897.0,176.0,386.0,34.0,430.0,3850.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+545,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,527.0,172.0,50.0,67.0,49.0,3469.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],64.0,62.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,650.0,650.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+546,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2025-02-20 11:48:06.000000,2024-12-30 04:13:34,2905.0,29.0,1239.0,128.0,1157.0,50.0,87.0,3373.0,a distributed deep learning platform.,96.0,24,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,5.0,5.0,,,,,83.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,943.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,8754.0,3.0,,,,,,,,,,,,,,,,,,,,
+547,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2025-01-24 08:14:17.000000,2025-01-24 08:14:04,517.0,2.0,814.0,62.0,645.0,133.0,405.0,3323.0,A high-performance distributed training framework for Reinforcement Learning.,46.0,24,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],132.0,131.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,989.0,989.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+548,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-18 00:01:12.000000,2024-10-18 00:01:11,1586.0,,254.0,29.0,2020.0,3.0,668.0,3308.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,38.0,24,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,16317.0,16388.0,,,,,,,,3.0,2730.0,,,,,,,,,,,,,,,,,,,
+549,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,111.0,73.0,193.0,119.0,3087.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,171.0,159.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,695.0,752.0,,,,,,,,3.0,4782.0,,,,,,,,,,,,,,,,,,,
+550,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-09-23 16:30:28.000000,2024-09-23 16:30:23,472.0,,339.0,66.0,319.0,50.0,124.0,2967.0,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],63.0,62.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,3514.0,3882.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,20659.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+551,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,145.0,28.0,200.0,20.0,73.0,2777.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,507.0,481.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,35012.0,38752.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,224408.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+552,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,352.0,34.0,695.0,43.0,151.0,2773.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,False,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,122.0,118.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+553,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,326.0,92.0,2158.0,215.0,982.0,2708.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,False,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,25990.0,25990.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+554,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,438.0,65.0,123.0,32.0,350.0,2395.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,24,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],74.0,72.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,249.0,249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+555,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,,236.0,61.0,33.0,60.0,96.0,2321.0,Fast and Easy Infinite Neural Networks in Python.,30.0,24,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,124.0,123.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,3534.0,3543.0,,,,,,,,3.0,542.0,,,,,,,,,,,,,,,,,,,
+556,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,258.0,52.0,98.0,25.0,116.0,2281.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",147.0,143.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2456.0,2456.0,,,,,,,,3.0,,,,,,,,mckinsey/causalnex,,,,,,,,,,,,
+557,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,685.0,87.0,48.0,24.0,64.0,2165.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,593.0,581.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,11737.0,11737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+558,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2025-02-11 11:17:27.000000,2024-11-05 08:39:28,583.0,,168.0,55.0,476.0,81.0,104.0,2116.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,33.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,128.0,118.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,954.0,954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+559,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,28.0,65.0,11.0,83.0,2023.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],385.0,377.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1092.0,1272.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,8837.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+560,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,248.0,43.0,33.0,51.0,90.0,2010.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,24,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],192.0,192.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,7356.0,7356.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+561,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-12-24 00:31:46.000000,2024-07-10 23:00:11,927.0,,135.0,35.0,447.0,50.0,354.0,1940.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,24,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,68.0,67.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,8850.0,8850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+562,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2025-01-16 19:27:43.000000,2025-01-16 19:27:37,373.0,2.0,285.0,50.0,329.0,269.0,184.0,1907.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,24,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,207969.0,207969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+563,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-07-16 05:54:41.000000,2024-07-16 05:54:41,602.0,,302.0,57.0,120.0,54.0,31.0,1655.0,Interpretability and explainability of data and machine learning models.,41.0,24,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,112.0,111.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1131.0,1131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+564,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,310.0,98.0,45.0,188.0,217.0,1644.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,14.0,5.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,2145.0,2145.0,,,,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,,
+565,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,239.0,50.0,50.0,24.0,91.0,1638.0,Contextually-keyed word vectors.,19.0,24,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,455.0,442.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2385.0,4554.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,56358.0,,,,,3.0,70468.0,,,,,,,,,,,,,,,,,,,
+566,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,124.0,28.0,31.0,63.0,50.0,1607.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,8.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],622.0,615.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,63824.0,63824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+567,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2025-02-15 00:02:31.000000,2024-12-18 07:37:03,584.0,19.0,146.0,20.0,340.0,10.0,152.0,1455.0,A standard framework for modelling Deep Learning Models for tabular data.,25.0,24,True,2024-11-29 01:07:50.000,1.1.1,13.0,pytorch_tabular,,,,['pytorch'],9.0,,https://pypi.org/project/pytorch_tabular,2024-11-28 05:14:21.000,9.0,6901.0,6902.0,,,,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,,
+568,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2025-01-23 15:10:02.000000,2025-01-15 20:18:42,210.0,1.0,88.0,34.0,113.0,8.0,18.0,1288.0,A library of reinforcement learning building blocks in JAX.,21.0,24,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],309.0,298.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,22827.0,22827.0,,,,,,,,3.0,,,,,,,,google-deepmind/rlax,,,,,,,,,,,,
+569,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2025-01-29 08:24:26.000000,2025-01-29 08:22:52,216.0,11.0,118.0,37.0,33.0,21.0,122.0,1286.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,16.0,24,True,2025-01-29 08:26:33.000,2.3.11,95.0,ngt,,,,,12.0,,https://pypi.org/project/ngt,2025-01-23 02:00:56.000,12.0,3094.0,3094.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+570,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,,214.0,52.0,461.0,145.0,296.0,1221.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,758.0,758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+571,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,222.0,70.0,415.0,75.0,147.0,1183.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,181.0,176.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+572,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2025-02-16 03:12:45.397000,2025-01-10 08:22:15,735.0,1.0,150.0,15.0,109.0,30.0,259.0,1035.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,46.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,30032.0,42746.0,https://anaconda.org/conda-forge/pytorch_sparse,2025-02-16 03:12:45.397,711986.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+573,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2025-01-21 10:21:03.000000,2025-01-21 10:21:03,263.0,11.0,119.0,12.0,56.0,37.0,29.0,1015.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,14.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,819.0,789.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,28250.0,45776.0,,,,,,,,3.0,893866.0,,,,,,,,,,,,,,,,,,,
+574,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2025-02-20 13:48:01.000000,2025-02-20 11:47:36,2180.0,288.0,38.0,8.0,1724.0,9.0,42.0,1002.0,"The Runhouse Python client. Distribute and run AI workloads magically in Python, like PyTorch for ML infra.",16.0,24,True,2025-02-19 16:24:27.000,0.0.41,49.0,runhouse,,,,,1.0,,https://pypi.org/project/runhouse,2025-02-19 16:22:42.000,1.0,32899.0,32901.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,,
+575,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,178.0,48.0,114.0,58.0,170.0,992.0,Python interface to GPU-powered libraries.,44.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,338.0,315.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,745.0,745.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+576,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2025-01-29 22:28:23.000000,2025-01-29 22:28:21,569.0,1.0,191.0,47.0,61.0,1.0,68.0,985.0,Training neural models with structured signals.,39.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],502.0,499.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,5845.0,5845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+577,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2024-11-18 15:00:19.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,35.0,236.0,738.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,185.0,181.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,2415.0,2415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+578,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2025-02-06 21:36:12.000000,2025-02-06 21:36:09,223.0,2.0,137.0,139.0,92.0,42.0,67.0,673.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,23.0,24,True,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],248.0,236.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,10207.0,10207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+579,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-12-06 11:29:54.000000,2024-12-06 11:28:50,368.0,1.0,98.0,20.0,147.0,36.0,94.0,661.0,pyspark methods to enhance developer productivity.,31.0,24,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],97.0,90.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,712019.0,712019.0,,,,,,,,3.0,56.0,,,,,,,mrpowers-io/quinn,,,,,,,,,,,,
+580,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2025-02-20 14:35:48.000000,2025-02-19 18:14:55,917.0,14.0,88.0,11.0,786.0,61.0,496.0,660.0,Automated modeling and machine learning framework FEDOT.,38.0,24,True,2024-08-28 11:07:57.000,0.7.4,23.0,fedot,,,,,62.0,57.0,https://pypi.org/project/fedot,2024-08-28 10:34:09.000,5.0,1827.0,1827.0,,,,,,,,2.0,,,,,,,,aimclub/FEDOT,,,,,,,,,,,,
+581,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2025-02-14 12:11:51.000000,2025-02-14 11:58:55,5689.0,26.0,93.0,17.0,782.0,10.0,446.0,460.0,Lightwood is Legos for Machine Learning.,49.0,24,False,2025-02-14 12:01:11.000,25.2.2.0,209.0,lightwood,,,,['pytorch'],82.0,80.0,https://pypi.org/project/lightwood,2025-02-14 12:11:51.000,2.0,6258.0,6258.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+582,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1434.0,262.0,69.0,133.0,137.0,6492.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,287.0,287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+583,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-09-20 17:59:42.000000,2024-06-28 18:04:28,599.0,,757.0,108.0,590.0,107.0,345.0,6271.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,59.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,39940.0,39940.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+584,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-11-19 08:19:11.000000,2024-11-19 08:19:11,13850.0,,1554.0,137.0,3625.0,74.0,1988.0,5811.0,An Industrial Grade Federated Learning Framework.,101.0,23,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+585,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2025-02-06 18:35:02.000000,2025-02-06 18:35:02,1659.0,11.0,834.0,143.0,1603.0,387.0,403.0,5098.0,Simple and Distributed Machine Learning.,121.0,23,True,2025-01-09 23:46:37.000,1.0.9,60.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+586,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2024-08-13 17:48:41.449000,2019-05-22 18:27:54,1118.0,,811.0,325.0,89.0,91.0,306.0,3873.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,171.0,193.0,https://anaconda.org/anaconda/neon,2024-08-13 17:48:41.449,1937.0,,,,,3.0,422.0,,,,,,,,,,,,,,,,,,,
+587,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,,449.0,89.0,78.0,67.0,137.0,3397.0,Generate embeddings from large-scale graph-structured data.,32.0,23,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,286264.0,286267.0,,,,,,,,2.0,218.0,,,,,,,,,,,,,,,,,,,
+588,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,,329.0,53.0,414.0,82.0,106.0,3266.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,23,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],60.0,59.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+589,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,233.0,53.0,36.0,75.0,126.0,3219.0,A GUI for Pandas DataFrames.,14.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],469.0,455.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,5386.0,6038.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,31978.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+590,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,179.0,20.0,79.0,112.0,179.0,2897.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,23,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,62.0,61.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,858.0,858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+591,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,133.0,136.0,60.0,128.0,2404.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],69.0,67.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1655.0,1801.0,,,,,,,,3.0,12904.0,,,,,,,,,,,,,,,,,,,
+592,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-07-17 19:00:35.000000,2024-07-17 19:00:21,2319.0,,247.0,39.0,39.0,7.0,115.0,2194.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,301.0,288.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,5628.0,6172.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,29940.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+593,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,43.0,36.0,45.0,24.0,1897.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],510.0,488.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1505.0,2985.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,68116.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+594,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,214.0,39.0,111.0,56.0,42.0,1736.0,"Large-scale linear classification, regression and ranking in Python.",17.0,23,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],173.0,167.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,7140.0,9630.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,254922.0,,,,,3.0,732.0,,,,,,,,,,,,,,,,,,,
+595,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,294.0,43.0,801.0,72.0,485.0,1661.0,jiant is an nlp toolkit.,60.0,23,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,6.0,6.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+596,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-11-23 22:25:52.000000,2024-11-23 22:09:12,359.0,1.0,276.0,43.0,257.0,77.0,198.0,1576.0,A framework for Privacy Preserving Machine Learning.,39.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],54.0,53.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,603.0,603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+597,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-08-14 21:07:18.000000,2024-08-14 20:38:00,159.0,,166.0,105.0,189.0,40.0,25.0,1514.0,fklearn: Functional Machine Learning.,56.0,23,True,2024-08-14 21:07:18.000,4.0.0,34.0,fklearn,,,,,16.0,16.0,https://pypi.org/project/fklearn,2024-08-14 21:07:18.000,,2528.0,2528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+598,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-12-25 18:07:02.406000,2022-08-31 13:13:15,103.0,,92.0,38.0,15.0,12.0,27.0,1402.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],285.0,263.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,25080.0,25283.0,https://anaconda.org/conda-forge/jraph,2024-12-25 18:07:02.406,8139.0,,,,,2.0,,,,,,,,google-deepmind/jraph,,,,,,,,,,,,
+599,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,163.0,32.0,24.0,42.0,34.0,1298.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],70.0,70.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,908.0,908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+600,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-08-02 11:14:24.000000,2024-08-02 11:14:21,90.0,,247.0,20.0,23.0,5.0,88.0,1256.0,Implementation of the node2vec algorithm.,16.0,23,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,839.0,808.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,22769.0,23182.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,33509.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+601,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2024-11-12 23:23:07.000000,2024-11-12 23:19:10,478.0,,211.0,54.0,94.0,59.0,219.0,1117.0,Line based ATR Engine based on OCRopy.,21.0,23,False,2024-11-12 23:23:07.000,2.3.1,45.0,calamari_ocr,,,,,8.0,,https://pypi.org/project/calamari_ocr,2024-11-12 23:23:07.000,8.0,3675.0,3675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+602,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-12-28 16:56:13.394000,2024-01-04 20:41:21,582.0,,294.0,95.0,123.0,62.0,98.0,1073.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,23,False,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,2192.0,3592.0,https://anaconda.org/conda-forge/astroml,2024-12-28 16:56:13.394,51800.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+603,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2024-08-14 00:01:42.000000,2023-11-17 10:59:26,412.0,,185.0,32.0,74.0,3.0,86.0,1055.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,False,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],247.0,238.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,7306.0,7306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+604,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-10-17 08:47:41.000000,2024-10-17 08:43:32,431.0,,143.0,21.0,88.0,10.0,72.0,975.0,An intuitive library to extract features from time series.,20.0,23,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,184.0,177.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,13094.0,13094.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+605,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,112.0,25.0,36.0,35.0,69.0,881.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],716.0,704.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,11633.0,11633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+606,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,83.0,14.0,77.0,222.0,218.0,875.0,"Experiment tracking, ML developer tools.",30.0,23,False,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,105.0,105.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,2747.0,2747.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,,
+607,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2025-02-12 01:47:22.218000,2025-01-10 08:26:59,607.0,2.0,151.0,14.0,68.0,32.0,148.0,846.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,38.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,16968.0,22567.0,https://anaconda.org/conda-forge/pytorch_cluster,2025-02-12 01:47:22.218,319152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+608,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2025-01-16 15:21:22.300000,2021-02-28 18:33:06,37.0,,140.0,25.0,19.0,26.0,5.0,753.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,23,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],688.0,680.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,91763.0,91937.0,https://anaconda.org/conda-forge/treeinterpreter,2025-01-16 15:21:22.300,9084.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+609,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-12-28 06:54:56.927000,2024-08-01 17:33:11,360.0,,119.0,16.0,84.0,21.0,38.0,720.0,Working with molecular structures in pandas DataFrames.,18.0,23,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,,['pandas'],381.0,343.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,10468.0,13688.0,https://anaconda.org/conda-forge/biopandas,2024-12-28 06:54:56.927,173904.0,,,,,3.0,,,,,,,,BioPandas/biopandas,,,,,,,,,,,,
+610,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-09-11 16:24:06.000000,2024-09-11 10:27:00,921.0,,119.0,42.0,118.0,51.0,48.0,706.0,Bias Auditing & Fair ML Toolkit.,22.0,23,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,190.0,182.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,25407.0,25407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+611,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2025-01-03 21:29:16.566000,2018-12-04 14:43:25,32.0,,88.0,21.0,9.0,25.0,41.0,697.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],512.0,502.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,19849.0,19879.0,https://anaconda.org/anaconda/pivottablejs,2025-01-03 21:29:16.566,3241.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+612,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2025-02-18 02:57:53.000000,2025-02-18 02:57:52,1016.0,7.0,205.0,22.0,889.0,134.0,405.0,665.0,MONAI Label is an intelligent open source image labeling and learning tool.,66.0,23,True,2024-10-17 22:32:00.000,0.8.4,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,1268.0,3834.0,,,,,,,,3.0,110338.0,,,,,,,,,,,,,,,,,,,
+613,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2025-01-22 18:04:55.876000,2022-04-22 06:33:31,188.0,,109.0,26.0,23.0,66.0,35.0,617.0,a distributed Hyperband implementation on Steroids.,11.0,23,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,525.0,500.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,11836.0,12243.0,https://anaconda.org/conda-forge/hpbandster,2025-01-22 18:04:55.876,20399.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+614,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-09-03 08:52:17.073000,2022-01-15 18:08:37,1718.0,,73.0,14.0,13.0,44.0,7.0,607.0,Pure-Python full-text search library.,42.0,23,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,433213.0,442041.0,https://anaconda.org/conda-forge/whoosh,2024-09-03 08:52:17.073,397267.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+615,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2025-02-19 01:40:22.000000,2025-02-19 01:34:13,351.0,5.0,91.0,8.0,20.0,,108.0,603.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,23,True,2025-02-19 01:40:22.000,0.6.1,167.0,featurewiz,,,,,87.0,83.0,https://pypi.org/project/featurewiz,2025-02-19 01:40:22.000,4.0,10706.0,10706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+616,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2025-02-07 18:03:48.000000,2025-02-05 11:04:30,1822.0,13.0,76.0,9.0,222.0,51.0,84.0,584.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,24.0,23,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,44.0,43.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1317.0,1324.0,,,,,,,,3.0,285.0,,,,,,,,,,,,,,,,,,,
+617,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-09-18 15:23:28.852000,2024-07-23 14:46:53,413.0,,140.0,21.0,49.0,1.0,87.0,583.0,Medical image processing in Python.,20.0,23,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,2592.0,2539.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,53.0,24409.0,26665.0,https://anaconda.org/conda-forge/medpy,2024-09-18 15:23:28.852,99297.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+618,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2025-02-14 10:32:29.000000,2025-01-24 08:59:25,2412.0,24.0,42.0,11.0,22.0,15.0,64.0,514.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,9.0,23,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,,49.0,36.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,2212.0,2216.0,,,,,,,,3.0,305.0,,,,,,,,,,,,,,,,,,,
+619,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2025-02-17 12:59:31.000000,2025-02-17 12:57:23,73.0,4.0,25.0,9.0,10.0,2.0,9.0,437.0,Fast PyTorch based DSP for audio and 1D signals.,3.0,23,True,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],2470.0,2426.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,302835.0,302835.0,,,,,,,,3.0,,,,,,,,,2.0,,,,,,,,,,,
+620,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2025-02-01 01:46:27.000000,2025-01-01 01:30:41,688.0,6.0,65.0,28.0,507.0,15.0,91.0,378.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,23,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,,['jupyter'],21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,11009.0,23407.0,https://anaconda.org/conda-forge/vega,2024-09-25 20:44:27.334,706732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+621,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-08-02 00:43:48.000000,2024-08-02 00:21:15,339.0,,30.0,9.0,7.0,8.0,78.0,372.0,Multiple Imputation with LightGBM in Python.,8.0,23,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,210.0,201.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,61857.0,62264.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,17513.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+622,TorchUncertainty,ENSTA-U2IS-AI/torch-uncertainty,probabilistics,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,Apache-2.0,2023-02-01 16:21:14.000,2025-02-19 16:07:35.000000,2025-01-21 15:07:48,1483.0,46.0,24.0,8.0,88.0,11.0,29.0,349.0,Open-source framework for uncertainty and deep learning models in PyTorch.,10.0,23,True,2025-01-21 14:55:17.000,0.4.1,18.0,torch-uncertainty,,,,['pytorch'],3.0,,https://pypi.org/project/torch-uncertainty,2025-01-21 14:55:17.000,3.0,1480.0,1480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+623,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2025-01-30 14:12:03.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,714.0,217.0,203.0,290.0,Asynchronous Distributed Hyperparameter Optimization.,34.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,122.0,114.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,954.0,954.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+624,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1633.0,155.0,55.0,46.0,12.0,11217.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,22,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],93.0,90.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,2363.0,2363.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+625,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,607.0,145.0,1362.0,129.0,987.0,8026.0,Production infrastructure for machine learning at scale.,25.0,22,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,672.0,672.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+626,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,308.0,210.0,66.0,220.0,5086.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1617.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143939.0,3.0,,,,,,,,,,,,,,,,,,,,
+627,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,320.0,75.0,37.0,95.0,77.0,4365.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,55.0,55.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,638.0,638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+628,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2025-02-19 22:17:51.000000,2025-02-19 22:09:36,1610.0,3.0,514.0,146.0,610.0,86.0,75.0,3589.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",172.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+629,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,676.0,74.0,53.0,179.0,101.0,3399.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1694.0,1703.0,,,,,,,,3.0,654.0,,,,,,,,,,,,,,,,,,,
+630,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,204.0,9.0,4.0,16.0,3139.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],168.0,166.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1722.0,1722.0,,,,,,,,3.0,,,,,,,,google-deepmind/trfl,,,,,,,,,,,,
+631,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2025-01-28 02:30:01.000000,2021-05-06 12:10:38,127.0,,160.0,47.0,73.0,2.0,31.0,3118.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,56.0,56.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,299.0,358.0,https://anaconda.org/conda-forge/opyrator,2025-01-08 23:49:34.989,2197.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+632,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,163.0,120.0,22.0,112.0,2940.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+633,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,238.0,43.0,110.0,80.0,64.0,2902.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,2010.0,2012.0,,,,,,,,3.0,162.0,,,,,,,,,,,,,,,,,,,
+634,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel/analytics-zoo,https://github.com/intel/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2025-01-09 01:09:27.000000,2025-01-09 01:05:46,3464.0,2.0,727.0,7.0,35.0,406.0,855.0,2607.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,1385.0,1385.0,,,,,,,,3.0,,,,,,,,intel/analytics-zoo,,,,,,,,,,,,
+635,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,79.0,146.0,36.0,126.0,2384.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+636,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,296.0,64.0,78.0,65.0,68.0,2102.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,22,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],3.0,,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1910.0,1910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+637,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2025-02-18 16:00:10.000000,2025-02-18 16:00:10,1294.0,4.0,148.0,33.0,188.0,72.0,150.0,2089.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",31.0,22,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,427.0,438.0,,,,,,,,3.0,631.0,,,,,,,,,,,,,,,,,,,
+638,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,256.0,43.0,15.0,57.0,35.0,1811.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",349.0,338.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,2847.0,2847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+639,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,198.0,29.0,424.0,11.0,163.0,1680.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,361.0,361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+640,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,200.0,37.0,7.0,15.0,33.0,1661.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],82.0,76.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,14968.0,14968.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+641,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,51.0,312.0,98.0,18.0,1604.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,False,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,47527.0,47527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+642,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2024-06-27 16:05:09.000000,2023-03-23 14:35:34,422.0,,278.0,70.0,730.0,51.0,64.0,1599.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,703.0,1186.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,29474.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+643,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,,217.0,57.0,54.0,82.0,149.0,1584.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,1276.0,1305.0,,,,,,,,3.0,2911.0,,,,,,,,,,,,,,,,,,,
+644,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,197.0,33.0,87.0,16.0,33.0,1496.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,798.0,798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+645,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,197.0,27.0,57.0,27.0,36.0,1324.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],190.0,185.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,617.0,617.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+646,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,,151.0,90.0,122.0,33.0,46.0,1219.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,119.0,118.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,384.0,384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+647,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-10-24 08:18:17.000000,2024-10-24 08:17:36,836.0,,323.0,49.0,798.0,11.0,300.0,1212.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1424.0,1424.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,,
+648,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,214.0,65.0,29.0,31.0,12.0,1197.0,Anomaly Detection and Correlation library.,9.0,22,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,83.0,81.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,12661.0,12661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+649,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-08-01 11:53:43.000000,2020-04-17 02:27:44,79.0,,149.0,25.0,77.0,51.0,37.0,1143.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,22,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,300149.0,300312.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,9642.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+650,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,91.0,20.0,73.0,18.0,45.0,1052.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,299.0,295.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,36441.0,36441.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+651,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,111.0,49.0,99.0,44.0,51.0,1021.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],282.0,271.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,3305.0,3305.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+652,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,,191.0,25.0,58.0,12.0,27.0,966.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],133.0,125.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,25063.0,25063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+653,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,87.0,27.0,55.0,36.0,28.0,965.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,22,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,815.0,792.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,24142.0,26239.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,86004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+654,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-09-11 20:07:00.000000,2024-02-01 21:38:56,330.0,,172.0,30.0,113.0,91.0,56.0,935.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,7716.0,50210.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2360019.0,,,,,3.0,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,351.0,,,,,,,,,,,,,,
+655,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,17.0,82.0,925.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2490.0,2481.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1824.0,1824.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,,
+656,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2024-10-12 16:41:54.000000,2024-10-12 16:34:55,60.0,,75.0,6.0,5.0,2.0,25.0,858.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,True,2024-10-12 16:41:54.000,0.1.9,8.0,iterative-stratification,,,,['sklearn'],562.0,547.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,21146.0,21146.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+657,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2024-11-26 19:03:40.000000,2024-10-31 11:39:03,1235.0,,133.0,23.0,594.0,63.0,511.0,855.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3136.0,3136.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+658,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,108.0,28.0,60.0,27.0,74.0,847.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,511.0,510.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2155.0,2155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+659,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,147.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,5617.0,10102.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,360463.0,,,,,3.0,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,610.0,,,,,,,,,,,,,,
+660,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2025-02-10 20:52:11.000000,2025-02-10 20:52:07,1511.0,3.0,79.0,32.0,694.0,22.0,118.0,707.0,Scikit-learn style model finetuning for NLP.,23.0,22,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",16.0,14.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,605.0,605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+661,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2024-08-14 09:00:03.000000,2019-10-30 09:27:48,189.0,,83.0,21.0,12.0,,39.0,691.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,553.0,548.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,11467.0,11523.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,2528.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+662,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,98.0,26.0,32.0,35.0,6.0,630.0,machine learning with logical rules in Python.,19.0,22,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],422.0,414.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,70014.0,70014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+663,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2024-09-29 18:55:40.000000,2024-09-29 18:55:40,251.0,,131.0,22.0,20.0,8.0,31.0,607.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,15.0,22,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],182.0,177.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12158.0,12158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+664,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2025-01-25 22:06:37.000000,2025-01-21 21:26:41,713.0,26.0,68.0,22.0,10.0,17.0,48.0,605.0,Active Learning for Text Classification in Python.,9.0,22,True,2024-11-24 19:15:11.000,2.0.0.de1,23.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",33.0,33.0,https://pypi.org/project/small-text,2024-11-24 18:42:07.000,,828.0,1242.0,https://anaconda.org/conda-forge/small-text,2025-01-05 17:19:16.066,12855.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+665,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2025-01-16 15:07:23.879000,2024-06-16 04:23:17,307.0,,106.0,9.0,15.0,6.0,16.0,595.0,Make Waffle Charts in Python.,6.0,22,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,468.0,462.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,11189.0,11477.0,https://anaconda.org/conda-forge/pywaffle,2025-01-16 15:07:23.879,15004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+666,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2025-01-14 14:48:51.037000,2021-12-19 09:41:43,133.0,,59.0,10.0,21.0,16.0,37.0,580.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,510.0,501.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,13312.0,13913.0,https://anaconda.org/conda-forge/joypy,2025-01-14 14:48:51.037,30091.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+667,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,,2013-08-02 14:31:46.000,2025-01-09 14:24:17.538000,2024-12-27 14:53:55,3774.0,1.0,67.0,45.0,361.0,19.0,399.0,553.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,22,False,2024-12-27 16:29:32.000,5.1.0,72.0,skll,conda-forge/skll,,,['sklearn'],49.0,47.0,https://pypi.org/project/skll,2024-12-27 16:29:32.000,2.0,539.0,1046.0,https://anaconda.org/conda-forge/skll,2025-01-09 14:24:17.538,19802.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,
+668,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2025-01-30 01:17:41.000000,2025-01-30 01:07:03,335.0,4.0,102.0,25.0,8.0,,34.0,531.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,22,True,2025-01-30 01:17:41.000,0.2.2,148.0,autoviml,,,,,31.0,28.0,https://pypi.org/project/autoviml,2025-01-30 01:17:41.000,3.0,4480.0,4480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+669,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-08-01 23:26:59.000000,2024-03-19 15:52:03,1216.0,,68.0,6.0,211.0,21.0,109.0,529.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],310.0,305.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2664.0,2664.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+670,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2025-01-24 15:56:18.000000,2025-01-24 15:48:14,549.0,7.0,36.0,14.0,230.0,16.0,41.0,499.0,Monitor the stability of a Pandas or Spark dataframe.,19.0,22,True,2025-01-24 15:56:18.000,1.4.7,37.0,popmon,,,,"['pandas', 'spark']",26.0,22.0,https://pypi.org/project/popmon,2025-01-24 15:56:18.000,4.0,8660.0,8664.0,,,,,,,,3.0,255.0,,,,,,,,,,,,,,,,,,,
+671,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,23.0,232.0,57.0,195.0,381.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,1507.0,1507.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+672,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,5.0,12.0,243.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1401.0,1344.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,98448.0,100336.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,98209.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+673,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,29.0,7.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2493.0,2449.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,106781.0,106781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+674,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,,2441.0,149.0,89.0,255.0,286.0,13986.0,End-to-End Object Detection with Transformers.,27.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+675,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,,634.0,91.0,152.0,100.0,102.0,8371.0,A collection of libraries to optimise AI model performances.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,619.0,619.0,,,,,,,,3.0,,,,,,,,nebuly-ai/optimate,,,,,,,,,,,,
+676,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,782.0,225.0,25.0,8.0,122.0,5374.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,914.0,914.0,,,,,,,,3.0,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,,,
+677,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,229.0,111.0,57.0,622.0,4993.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,19.0,,,,,,,,3.0,1543.0,,,,,,,,,,,,,,,,,,,
+678,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2025-02-10 16:33:33.000000,2025-02-10 16:33:29,959.0,2.0,581.0,170.0,47.0,35.0,28.0,4702.0,High-performance TensorFlow library for quantitative finance.,48.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,854.0,854.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+679,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-12-18 16:08:09.000000,2024-12-18 16:08:09,151.0,1.0,749.0,103.0,35.0,107.0,112.0,4697.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,11.0,21,True,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,6163.0,6166.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,273.0,3.0,,,,,,,,,,,,,,,,,,,,
+680,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,490.0,84.0,180.0,113.0,161.0,3662.0,A high performance and generic framework for distributed DNN training.,21.0,21,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,3.0,3.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,120.0,140.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1364.0,3.0,,,,,,,,,,,,,,,,,,,,
+681,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-11-09 18:55:21.000000,2024-11-09 18:55:20,708.0,,507.0,217.0,22.0,26.0,4.0,3524.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,18.0,21,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,,16.0,16.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,351.0,351.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,,
+682,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,179.0,65.0,55.0,6.0,44.0,3103.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",22.0,21,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,6.0,6.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,456.0,457.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,,
+683,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,405.0,101.0,54.0,55.0,48.0,2950.0,Quickly search over billions of images.,19.0,21,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,1498.0,1498.0,,,,,,,,3.0,,,,,,,,rhsimplex/image-match,,,,,,,,,,,,
+684,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,331.0,71.0,2.0,19.0,7.0,2910.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],222.0,219.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1881.0,1881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+685,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,372.0,84.0,4.0,5.0,18.0,2233.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,4.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,51.0,51.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,478.0,478.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+686,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,251.0,54.0,35.0,16.0,105.0,2151.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,9466.0,9466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+687,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-08-15 19:08:06.000000,2024-08-15 19:08:06,312.0,,165.0,23.0,34.0,33.0,31.0,2007.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],33.0,32.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,747.0,912.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,6231.0,,,,,3.0,138.0,,,,,,,,,,,,,,,,,,,
+688,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,,341.0,41.0,68.0,163.0,95.0,1881.0,Super easy library for BERT based NLP models.,37.0,21,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,1587.0,1587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+689,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,,168.0,17.0,74.0,26.0,45.0,1873.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],37.0,37.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1487.0,1487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+690,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,135.0,100.0,150.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,24.0,24.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,3528.0,3528.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+691,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,271.0,65.0,51.0,23.0,75.0,1509.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,37.0,37.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+692,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,351.0,60.0,47.0,37.0,71.0,1479.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],41.0,35.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,421.0,421.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+693,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-12-15 17:30:26.000000,2024-12-15 17:30:23,439.0,1.0,227.0,69.0,7.0,15.0,29.0,1406.0,Python AutoML for Trading Systems and Sports Betting.,5.0,21,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,8.0,8.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,1406.0,1406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+694,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,221.0,64.0,48.0,40.0,90.0,1281.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,337.0,337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+695,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,206.0,28.0,61.0,52.0,61.0,1080.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,130.0,127.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,761.0,767.0,,,,,,,,3.0,804.0,,,,,,,,,,,,,,,,,,,
+696,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,249.0,48.0,46.0,26.0,127.0,1079.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],32.0,32.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,547.0,547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+697,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,182.0,52.0,12.0,16.0,42.0,1003.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],89.0,85.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,221.0,221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+698,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-06-27 20:02:41.000000,2024-06-27 20:02:41,240.0,,87.0,17.0,160.0,20.0,94.0,887.0,Bayesian active learning library for research and industrial usecases.,23.0,21,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,68.0,66.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,1350.0,1589.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,11732.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+699,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2025-01-29 19:10:28.000000,2025-01-29 19:09:36,299.0,3.0,250.0,45.0,18.0,11.0,92.0,871.0,Data compression in TensorFlow.,24.0,21,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,2284.0,2284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+700,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2025-01-10 20:12:11.544000,2023-06-05 01:35:02,228.0,,128.0,18.0,25.0,29.0,40.0,850.0,python partial dependence plot toolbox.,7.0,21,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,11182.0,11669.0,https://anaconda.org/conda-forge/pdpbox,2025-01-10 20:12:11.544,22922.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+701,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,163.0,38.0,46.0,43.0,49.0,850.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,111.0,102.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,764.0,764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+702,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-12-05 20:47:53.000000,2024-07-22 10:16:42,493.0,,120.0,32.0,561.0,211.0,247.0,803.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,14730.0,14730.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+703,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,25.0,162.0,51.0,62.0,770.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,False,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],71.0,67.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,639.0,639.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+704,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,148.0,36.0,33.0,26.0,39.0,768.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,21,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,119.0,119.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,1198.0,1198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+705,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,25.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,41731.0,41731.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,,
+706,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,107.0,30.0,1.0,15.0,3.0,646.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",700.0,683.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,16055.0,16055.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+707,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,638.0,torchbearer: A model fitting library for PyTorch.,14.0,21,False,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],98.0,94.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,653.0,653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+708,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,50.0,29.0,12.0,13.0,15.0,630.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,254.0,246.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,43835.0,43835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+709,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2025-01-12 14:08:35.441000,2022-02-09 16:35:40,142.0,,101.0,23.0,26.0,45.0,62.0,616.0,Build fully-functioning computer vision models with PyTorch.,12.0,21,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],188.0,186.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1881.0,2017.0,https://anaconda.org/conda-forge/detecto,2025-01-12 14:08:35.441,5991.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+710,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,316.0,609.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,67.0,66.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,452.0,452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+711,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,26.0,31.0,5.0,24.0,574.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,53.0,51.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1388.0,1388.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+712,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2024-12-03 23:28:10.000000,2024-12-03 23:20:00,773.0,2.0,65.0,16.0,116.0,8.0,48.0,571.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2024-12-03 23:22:07.000,1.17.3,39.0,poutyne,,,,['pytorch'],151.0,146.0,https://pypi.org/project/poutyne,2024-12-03 23:22:26.000,5.0,5372.0,5372.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+713,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2025-01-25 05:40:47.000000,2025-01-25 05:40:47,1428.0,2.0,169.0,56.0,21.0,39.0,61.0,556.0,Bayesian inference in HSMMs and HMMs.,14.0,21,True,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,35.0,34.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,241.0,241.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+714,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2024-10-30 20:48:45.000000,2024-10-30 20:48:45,404.0,,101.0,17.0,11.0,,50.0,471.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,21,True,2024-10-30 20:46:59.000,0.0.19,19.0,chefboost,,,,,66.0,66.0,https://pypi.org/project/chefboost,2024-10-30 20:46:59.000,,6292.0,6292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+715,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,49.0,17.0,2.0,12.0,3.0,384.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,21,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,551.0,543.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,11232.0,11232.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+716,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-10-14 17:26:35.000000,2024-10-14 15:20:39,3847.0,,60.0,29.0,110.0,33.0,184.0,380.0,scalable audio processing framework and server written in Python.,23.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,20.0,20.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+717,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2025-01-29 14:59:50.000000,2025-01-29 14:59:43,578.0,2.0,90.0,28.0,321.0,76.0,27.0,378.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,28.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,31127.0,31127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+718,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,11.0,37.0,29.0,37.0,359.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,260.0,244.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,1549.0,1549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+719,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-11-25 23:37:09.000000,2024-11-25 23:37:07,715.0,14.0,18.0,23.0,397.0,53.0,90.0,348.0,Serverside scaling for Vega and Altair visualizations.,5.0,21,True,2024-11-25 13:17:12.000,2.0.1,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,2182.0,13542.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-10-31 11:12:37.992,384730.0,,,,,3.0,10259.0,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,91.0,,vega/vegafusion,,,,,,,,,,,,
+720,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2025-01-22 19:50:40.000000,2025-01-22 18:08:56,337.0,10.0,80.0,24.0,362.0,29.0,10.0,347.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,21,True,2025-01-22 19:50:40.000,0.47.0,32.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2025-01-22 19:50:40.000,,1461.0,1461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+721,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2025-02-20 12:55:28.000000,2025-02-20 12:55:00,839.0,38.0,25.0,5.0,312.0,4.0,,326.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,21,True,2025-02-20 12:55:28.000,1.2.49,914.0,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2025-02-20 12:55:28.000,,11209.0,11209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+722,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,25.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",22.0,20.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,483851.0,483851.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+723,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2025-02-16 00:13:21.000000,2024-11-07 18:17:34,501.0,,111.0,20.0,577.0,58.0,130.0,273.0,An open-source toolkit for large-scale genomic analysis.,28.0,21,False,2024-10-20 03:22:37.000,2.0.3,17.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,16846.0,16972.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,5970.0,,,,,3.0,157.0,,,,,,,,,,,,,,,,,,,
+724,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2025-02-02 06:39:26.000000,2023-07-02 18:02:16,1462.0,,50.0,15.0,229.0,23.0,64.0,254.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,53.0,47.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,648.0,648.0,,,,,,,,3.0,,,,,,,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,
+725,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-11-26 11:06:14.000000,2024-11-26 10:38:20,194.0,1.0,1210.0,96.0,51.0,411.0,292.0,6797.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,34.0,20,True,,,1.0,pyslowfast,,,,['pytorch'],23.0,23.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,56.0,56.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+726,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1731.0,20.0,19.0,72.0,24.0,5181.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,1669.0,1669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+727,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,102.0,16.0,53.0,17.0,3433.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,166.0,159.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,853.0,853.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+728,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,326.0,57.0,242.0,176.0,111.0,3250.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3442.0,3453.0,,,,,,,,3.0,705.0,,,,,,,,,,,,,,,,,,,
+729,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2860.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+730,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,831.0,85.0,30.0,46.0,80.0,2706.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,78.0,78.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,516.0,516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+731,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,462.0,125.0,225.0,90.0,183.0,2337.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+732,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,184.0,56.0,895.0,146.0,586.0,1948.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",51.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,16.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1092.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+733,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,281.0,29.0,41.0,35.0,176.0,1921.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,786.0,786.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+734,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2025-02-20 03:47:27.000000,2025-02-20 03:47:27,28.0,1.0,106.0,40.0,33.0,30.0,79.0,1825.0,"A flexible, intuitive and fast forecasting library.",10.0,20,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,39.0,39.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,6583.0,6583.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,,
+735,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,118.0,38.0,11.0,39.0,51.0,1641.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1555.0,1555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+736,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,66.0,202.0,5.0,74.0,1589.0,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects:..,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,83.0,273.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13160.0,3.0,,,,,,,,,,,,,,,,,,,,
+737,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,101.0,36.0,13.0,24.0,1433.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+738,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-11-22 18:05:50.000000,2024-11-22 17:35:27,783.0,,188.0,18.0,265.0,88.0,94.0,1383.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,20,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,31148.0,31148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+739,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,98.0,39.0,13.0,15.0,9.0,1273.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,178.0,176.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,3381.0,3381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+740,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,143.0,17.0,11.0,43.0,43.0,1114.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],184.0,179.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,4610.0,4610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+741,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,168.0,57.0,14.0,30.0,19.0,1031.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,190.0,188.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,487.0,707.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,9918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+742,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,131.0,35.0,16.0,9.0,4.0,927.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3654.0,3649.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,614.0,614.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+743,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,124.0,29.0,29.0,21.0,34.0,772.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],49.0,49.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,779.0,779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+744,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-12-16 23:31:08.000000,2024-08-07 21:38:41,314.0,,104.0,5.0,3.0,1.0,,727.0,Data Analysis Baseline Library.,24.0,20,True,2024-12-16 23:31:08.000,0.3.2,20.0,dabl,,,,['sklearn'],3.0,,https://pypi.org/project/dabl,2024-12-16 23:31:08.000,3.0,4504.0,4504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+745,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,150.0,34.0,84.0,16.0,55.0,634.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],31.0,28.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+746,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,14.0,22.0,570.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,20,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,42.0,38.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+747,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,555.0,Python library assists deep learning on graphs.,18.0,20,False,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,125.0,123.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,452.0,452.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,,
+748,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,112.0,19.0,57.0,30.0,21.0,505.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,90.0,82.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,4073.0,4073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+749,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2025-02-06 14:03:46.000000,2025-02-06 14:03:46,992.0,5.0,99.0,33.0,106.0,23.0,27.0,502.0,A Python implementation of active inference for Markov Decision Processes.,19.0,20,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,17.0,17.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,2547.0,2547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+750,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,9.0,10.0,13.0,21.0,500.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,190.0,174.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,16.0,6716.0,6716.0,,,,,,,,3.0,32.0,,,,,,,,,,,,,,,,,,,
+751,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-11-27 12:27:25.000000,2023-03-05 00:16:57,419.0,,110.0,35.0,277.0,85.0,174.0,497.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,20,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,93.0,91.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,882.0,886.0,,,,,,,,3.0,417.0,,,,,,,,,,,,,,,,,,,
+752,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2025-02-19 23:27:20.000000,2024-09-24 15:52:47,3054.0,,64.0,11.0,273.0,11.0,112.0,450.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,25.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],6.0,6.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+753,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,418.0,optimization routines for hyperparameter tuning.,9.0,20,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,144.0,141.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,899.0,899.0,,,,,,,,3.0,108.0,,,,,,,,,,,,,,,,,,,
+754,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2024-12-27 14:46:11.696000,2021-02-15 17:10:59,283.0,,73.0,25.0,48.0,18.0,19.0,416.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,3634.0,4299.0,https://anaconda.org/conda-forge/skrebate,2024-12-27 14:46:11.696,36584.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+755,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-09-06 09:28:23.000000,2024-09-06 09:27:10,824.0,,26.0,8.0,78.0,33.0,23.0,409.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,21.0,19.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,889.0,1585.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,29929.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+756,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2025-01-07 00:51:13.258034,2025-01-06 19:07:43,406.0,5.0,137.0,34.0,333.0,89.0,139.0,350.0,Brain Imaging Analysis Kit.,35.0,20,True,2025-01-06 23:14:48.000,0.12,21.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2025-01-07 00:16:42.000,,2317.0,2334.0,,,,https://hub.docker.com/r/brainiak/brainiak,2025-01-07 00:51:13.258034,1.0,1924.0,3.0,,,,,,,,,,,,,,,,,,,,
+757,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],270.0,270.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2285.0,2285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+758,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,302.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,469.0,469.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+759,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2024-12-14 22:06:19.000000,2024-12-14 21:35:00,526.0,2.0,59.0,14.0,91.0,27.0,40.0,298.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,20,False,2024-12-14 22:06:19.000,1.2.1,9.0,omlt,,,,,31.0,27.0,https://pypi.org/project/omlt,2024-12-14 22:06:19.000,4.0,17821.0,17821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+760,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-09-13 04:58:28.982000,2024-01-18 11:58:51,626.0,,69.0,28.0,32.0,34.0,113.0,270.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1406.0,4408.0,https://anaconda.org/conda-forge/somoclu,2024-09-13 04:58:28.982,155235.0,,,,,3.0,2091.0,,,,,,,,,,,,,,,,,,,
+761,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2025-01-20 08:19:32.000000,2025-01-20 08:19:31,593.0,1.0,36.0,23.0,646.0,21.0,131.0,248.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,1091.0,1112.0,,,,,,,,3.0,1283.0,,,,,,,,,,,,,,,,,,,
+762,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,21.0,18.0,464.0,90.0,76.0,238.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],89.0,79.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,6929.0,6929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+763,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,451.0,449.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,1318.0,1322.0,,,,,,,,3.0,437.0,,,,,,,,,,,,,,,,,,,
+764,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,,24.0,8.0,15.0,4.0,11.0,225.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,99.0,96.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,22054.0,22054.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+765,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-08-01 08:27:07.000000,2024-08-01 08:10:33,265.0,,34.0,10.0,202.0,21.0,76.0,214.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",13.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],47.0,46.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1835.0,1835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+766,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-12-30 21:14:55.000000,2024-12-30 20:51:08,23.0,1.0,279.0,31.0,24.0,34.0,38.0,3301.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,True,,,,,,,,,2577.0,2577.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+767,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,155.0,45.0,3.0,13.0,15.0,1534.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],32.0,32.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,902.0,902.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+768,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,257.0,55.0,65.0,8.0,31.0,1391.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,5.0,5.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,128.0,128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+769,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,174.0,44.0,5.0,4.0,7.0,1154.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,37.0,37.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+770,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2025-01-03 23:13:37.000000,2025-01-03 23:11:28,298.0,5.0,63.0,14.0,65.0,10.0,22.0,1095.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",19.0,19,True,2025-01-03 23:13:37.000,3.1.1,37.0,uform,,,,['pytorch'],8.0,6.0,https://pypi.org/project/uform,2025-01-03 23:13:37.000,2.0,917.0,939.0,,,,,,,,3.0,545.0,,,,,,,,,,,,,,,,,,,
+771,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,181.0,19.0,42.0,28.0,60.0,927.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,200.0,197.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,850.0,1050.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,10833.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+772,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2024-06-27 07:32:19.000000,2024-06-27 07:26:43,298.0,,97.0,25.0,51.0,20.0,17.0,873.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,,['jax'],33.0,27.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1415.0,2386.0,https://anaconda.org/conda-forge/evojax,2024-06-18 11:07:15.191,34958.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+773,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,233.0,29.0,38.0,43.0,21.0,868.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,3141.0,3141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+774,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,64.0,69.0,860.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,104.0,103.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,434.0,434.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+775,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2025-02-14 12:15:27.000000,2025-02-14 12:08:46,33.0,1.0,87.0,13.0,36.0,4.0,26.0,827.0,Leave One Feature Out Importance.,6.0,19,True,2025-02-14 12:15:27.000,0.3.5,15.0,lofo-importance,,,,,42.0,37.0,https://pypi.org/project/lofo-importance,2025-02-14 12:15:27.000,5.0,4381.0,4381.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+776,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-10-23 17:51:18.000000,2024-09-30 12:29:20,1251.0,,127.0,29.0,1059.0,37.0,54.0,771.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,19,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,423.0,423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+777,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,103.0,26.0,49.0,15.0,54.0,735.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,32.0,30.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,380.0,380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+778,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2025-01-05 16:04:33.921000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,591.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,False,2020-11-15 13:40:18.000,0.4.2,17.0,baikal,conda-forge/cython-blis,,,,16.0,15.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,299.0,46055.0,https://anaconda.org/conda-forge/cython-blis,2025-01-05 16:04:33.921,2425092.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+779,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,99.0,15.0,53.0,13.0,16.0,576.0,A library of metrics for evaluating recommender systems.,20.0,19,False,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,61.0,61.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,6168.0,6168.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,
+780,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,55.0,72.0,18.0,71.0,530.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,25.0,25.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,325.0,325.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+781,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,,98.0,28.0,34.0,41.0,15.0,482.0,A python library for Bayesian time series modeling.,7.0,19,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,41.0,39.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,39230.0,39230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+782,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,40.0,66.0,472.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",56.0,56.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+783,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,54.0,11.0,60.0,17.0,41.0,335.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,19,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,44.0,40.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,277.0,277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+784,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,,44.0,13.0,64.0,3.0,57.0,332.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,1166.0,1166.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+785,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,38.0,18.0,6.0,19.0,21.0,319.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,19,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],3.0,,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1307.0,1307.0,,,,,,,,3.0,,,,,,,,google-deepmind/launchpad,,,,,,,,,,,,
+786,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2025-01-22 14:54:51.000000,2025-01-22 14:54:51,434.0,3.0,77.0,20.0,451.0,28.0,51.0,276.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,32.0,19,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,6.0,6.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,461.0,461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+787,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,785.0,335.0,58.0,2.0,,6833.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,113.0,120.0,,,,,,,,3.0,402.0,,,,,,,,,,,,,,,,,,,
+788,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,112.0,51.0,46.0,160.0,6323.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+789,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2025-01-31 14:20:55.000000,2025-01-31 14:20:50,721.0,10.0,444.0,38.0,877.0,151.0,119.0,3434.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,91.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+790,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,415.0,105.0,83.0,67.0,48.0,3007.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,98.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,9048.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+791,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,181.0,23.0,20.0,19.0,30.0,1754.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,9.0,9.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,137.0,138.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,,
+792,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,457.0,80.0,36.0,83.0,68.0,1704.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+793,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2025-02-19 23:37:19.000000,2024-12-03 12:26:16,792.0,1.0,71.0,28.0,1028.0,127.0,65.0,1658.0,Version control for machine learning.,18.0,18,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,318.0,318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+794,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,256.0,52.0,13.0,20.0,13.0,1552.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,18,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,190.0,209.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1702.0,3.0,,,,,,,,,,,,,,,,,,,,
+795,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,55.0,34.0,22.0,13.0,1270.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+796,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,33.0,72.0,31.0,30.0,1108.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,5653.0,5653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+797,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2025-01-01 07:35:12.509000,2022-04-07 20:49:56,235.0,,37.0,12.0,13.0,8.0,16.0,802.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,18,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],48.0,48.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,569.0,675.0,https://anaconda.org/conda-forge/tensor-sensor,2025-01-01 07:35:12.509,4240.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+798,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,175.0,33.0,15.0,19.0,22.0,782.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+799,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,26.0,4.0,39.0,42.0,693.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,18,False,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,306.0,306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+800,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,676.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,577.0,577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+801,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-10-22 13:32:17.000000,2024-08-18 17:07:49,821.0,,42.0,15.0,18.0,,22.0,613.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,18,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,19.0,19.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+802,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,72.0,13.0,10.0,26.0,41.0,572.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,54.0,54.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+803,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,70.0,7.0,6.0,4.0,32.0,572.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,23.0,21.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,2549.0,2549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+804,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,,55.0,18.0,10.0,4.0,18.0,531.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,,['sklearn'],70.0,70.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1499.0,1499.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+805,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,22.0,19.0,6.0,20.0,491.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],15.0,15.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+806,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,,105.0,13.0,130.0,18.0,138.0,485.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,2582.0,2582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+807,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,3662.0,3662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+808,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,108.0,71.0,7.0,15.0,19.0,438.0,semantic similarity framework for knowledge graph.,10.0,18,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,49.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,154.0,154.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+809,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,87.0,19.0,248.0,10.0,23.0,428.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1805.0,1805.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,,
+810,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,60.0,8.0,12.0,11.0,18.0,414.0,TextAugment: Text Augmentation Library.,8.0,18,False,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,155.0,151.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,3259.0,3261.0,,,,,,,,3.0,134.0,,,,,,,,,,,,,,,,,,,
+811,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2024-09-01 04:12:59.669000,2024-08-29 18:18:33,183.0,,38.0,9.0,32.0,17.0,20.0,413.0,A python package for animating plots build on matplotlib.,6.0,18,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,76.0,72.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,433.0,741.0,https://anaconda.org/conda-forge/animatplot,2024-09-01 04:12:59.669,16030.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+812,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,277.0,277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+813,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],17.0,15.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,660.0,660.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+814,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-09-03 22:45:13.000000,2024-03-27 08:46:27,190.0,,41.0,19.0,4.0,10.0,8.0,287.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,18,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],12.0,12.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,954.0,5944.0,https://anaconda.org/conda-forge/deepgraph,2024-07-11 16:39:33.824,259522.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+815,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2024-11-22 00:27:00.000000,2024-11-22 00:26:52,380.0,,20.0,6.0,33.0,20.0,44.0,265.0,Streaming over lightweight data transformations.,6.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,63.0,60.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,197.0,197.0,,,,,,,,3.0,,,,,,,,imedslab/solt,,,,,,,,,,,,
+816,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,44.0,10.0,61.0,31.0,47.0,247.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,211.0,211.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+817,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,9.0,44.0,233.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,33.0,31.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,162.0,162.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+818,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2024-06-30 08:01:08.000000,2024-06-30 08:01:08,6.0,,57.0,5.0,2.0,3.0,1.0,136.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,10395.0,10266.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,304356.0,304386.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1298.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+819,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1354.0,464.0,22.0,60.0,167.0,7177.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,google-deepmind/lab,,,,,,,,,,,,
+820,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,59.0,106.0,27.0,56.0,2148.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,17,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],,,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+821,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,143.0,17.0,11.0,25.0,18.0,1164.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],59.0,57.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,691.0,691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+822,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,19.0,37.0,20.0,8.0,1042.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,90.0,89.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,389.0,389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+823,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2025-01-27 18:38:03.000000,2025-01-27 18:38:03,25.0,1.0,57.0,17.0,8.0,,10.0,803.0,MADGRAD Optimization Method.,3.0,17,True,,,4.0,madgrad,,,,['pytorch'],102.0,101.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,3233.0,3233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+824,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,15.0,10.0,26.0,17.0,785.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,63.0,63.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,489.0,489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+825,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,102.0,20.0,58.0,2.0,13.0,780.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,5731.0,5731.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,,
+826,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,116.0,20.0,27.0,2.0,88.0,745.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,17,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,6838.0,6838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+827,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,103.0,24.0,101.0,37.0,84.0,704.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,171.0,178.0,,,,,,,,3.0,562.0,,,,,,,,,,,,,,,,,,,
+828,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,5.0,29.0,642.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,19.0,19.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,307.0,307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+829,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,93.0,38.0,106.0,12.0,51.0,551.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,17,False,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,170.0,173.0,,,,,,,,3.0,257.0,,,,,,,typedb/typedb-ml,,,,,,,,,,,,
+830,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,,38.0,11.0,1.0,2.0,80.0,407.0,Deep Learning PyTorch.,1.0,17,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,705.0,705.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+831,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,398.0,High-level batteries-included neural network training library for Pytorch.,4.0,17,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],13.0,13.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+832,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2025-01-04 18:56:14.000000,2025-01-04 18:56:14,175.0,1.0,38.0,21.0,5.0,11.0,23.0,354.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,288.0,288.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+833,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,21.0,59.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,116.0,119.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,,
+834,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,48.0,1.0,,,,229.0,Pytorch framework for doing deep learning on point clouds.,29.0,17,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,1341.0,1341.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+835,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2025-01-07 01:49:25.000000,2024-06-01 12:08:31,372.0,,37.0,5.0,135.0,,35.0,225.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,449.0,565.0,https://anaconda.org/conda-forge/chitra,2025-01-03 20:34:33.129,4312.0,,,,,3.0,,,,,,,,aniketmaurya/chitra,,,,,,,,,,,,
+836,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-06-06 14:34:14.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,184.0,11.0,23.0,154.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,10024.0,10024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+837,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,13.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,17,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,65.0,60.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+838,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,31.0,53.0,7.0,7.0,109.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],53.0,53.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+839,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,123.0,24.0,17.0,353.0,4375.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+840,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,176.0,110.0,56.0,149.0,3951.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+841,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,138.0,28.0,217.0,102.0,2897.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+842,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,170.0,61.0,10.0,26.0,6.0,1855.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,87.0,87.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,,
+843,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,118.0,19.0,295.0,3.0,70.0,1080.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+844,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,29.0,10.0,25.0,51.0,798.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+845,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,85.0,16.0,15.0,10.0,22.0,738.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+846,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,128.0,43.0,435.0,25.0,130.0,719.0,GPU accelerated signal processing.,45.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+847,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,16,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,12302.0,12302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+848,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,38.0,24.0,4.0,4.0,2.0,685.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,223.0,223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+849,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,58.0,15.0,83.0,19.0,49.0,618.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,16,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,260.0,260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+850,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,19.0,101.0,19.0,15.0,499.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,False,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,348.0,348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+851,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-10-29 16:15:42.000000,2024-09-28 19:49:30,81.0,,61.0,16.0,68.0,7.0,9.0,443.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,16,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,12.0,12.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+852,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,415.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,5.0,4.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,134.0,134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+853,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,30.0,23.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,91.0,91.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+854,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,18.0,93.0,30.0,18.0,319.0,"pandas, scikit-learn, xgboost and seaborn integration.",5.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2105.0,2105.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,,
+855,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+856,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,14.0,9.0,2.0,,5.0,213.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,314.0,314.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+857,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,420.0,144.0,72.0,12.0,53.0,2217.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+858,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,232.0,39.0,40.0,73.0,34.0,1177.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+859,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,120.0,30.0,111.0,14.0,25.0,1096.0,An autoML framework & toolkit for machine learning on graphs.,16.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+860,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,123.0,48.0,22.0,15.0,9.0,861.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],18.0,18.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+861,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,43.0,667.0,28.0,27.0,831.0,Translate - a PyTorch Language Library.,89.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+862,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,,43.0,20.0,171.0,6.0,65.0,532.0,A collection of tools for neural compression enthusiasts.,10.0,15,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,237.0,237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+863,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,514.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,14.0,14.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,485.0,485.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+864,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,,53.0,10.0,17.0,10.0,29.0,425.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,893.0,893.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,,
+865,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,56.0,18.0,6.0,6.0,,399.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,13.0,12.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,116.0,257.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,7779.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+866,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,374.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,493.0,493.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+867,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,315.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],28.0,28.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+868,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,64.0,181.0,299.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,555.0,555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+869,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,243.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,15,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,5.0,5.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,524.0,524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+870,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,31.0,7.0,72.0,31.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+871,Headliner,as-ideas/headliner,nlp,,https://github.com/spring-media/headliner,https://github.com/spring-media/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,228.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,8.0,7.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,629.0,629.0,,,,,,,,3.0,,,,,,,,spring-media/headliner,,,,,,,,,,,,
+872,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,26.0,10.0,15.0,9.0,4.0,224.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,712.0,712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+873,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,28.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,,['sklearn'],29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,779.0,779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+874,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,18.0,3.0,2.0,17.0,23.0,194.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],14.0,14.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,867.0,867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+875,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2025-02-17 16:53:17.000000,,,,,,,,,,Supercharging Machine Learning.,,15,True,2025-02-03 17:01:58.000,3.49.0,308.0,comet_ml,comet_ml,,,,90.0,,https://pypi.org/project/comet_ml,2025-02-17 16:53:17.000,90.0,209538.0,209538.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+876,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,1001.0,63.0,13.0,45.0,26.0,3769.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+877,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,843.0,78.0,35.0,120.0,59.0,3478.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+878,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,66.0,26.0,10.0,97.0,1692.0,An Open-Source Package for Network Embedding (NE).,12.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+879,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,53.0,23.0,42.0,85.0,1318.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+880,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2024-06-14 21:18:09.000000,2024-06-14 21:18:09,16.0,,153.0,32.0,,53.0,60.0,1242.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,True,,,4.0,,milagraph/graphvite,,,,,,,,,,76.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,5039.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+881,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,503.0,2154.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,90825.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+882,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,69.0,19.0,177.0,87.0,16.0,421.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+883,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,350.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,2764.0,2764.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+884,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,16.0,11.0,58.0,4.0,20.0,293.0,NLP library designed for reproducible experimentation management.,7.0,14,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+885,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,,11.0,8.0,15.0,2.0,7.0,281.0,A Jax-based library for designing and training transformer models from scratch.,3.0,14,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,,['jax'],2.0,2.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+886,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,252.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,14,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+887,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,37.0,14.0,18.0,27.0,18.0,126.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+888,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,14,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+889,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,45.0,45.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+890,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,103.0,28.0,28.0,357.0,3906.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+891,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,485.0,108.0,12.0,39.0,8.0,2708.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+892,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,88.0,48.0,4.0,3.0,,2594.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1988.0,1990.0,,,,,,,,3.0,80.0,,,,,,,,,,,,,,,,,,,
+893,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,177.0,37.0,10.0,13.0,3.0,1371.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+894,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,,48.0,10.0,11.0,3.0,17.0,802.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,13,True,,,,rliable`,,,,,181.0,181.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+895,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,55.0,17.0,3.0,2.0,1.0,542.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,5.0,5.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+896,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2025-02-20 09:08:11.000000,2022-11-21 12:12:41,1044.0,,11.0,8.0,26.0,1.0,2.0,268.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,218.0,223.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,283.0,3.0,11.0,,,,,,,,,,,,,,,,,,,
+897,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,28.0,21.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,302.0,302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+898,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,17.0,4.0,6.0,193.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],6.0,6.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+899,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,4.0,1238.0,4.0,10.0,127.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,318.0,327.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,693.0,3.0,,,,,,,,,,,,,,,,,,,,
+900,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,122.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",7.0,7.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+901,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,11.0,17.0,,,43.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,4.0,4.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+902,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,33.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,303.0,303.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+903,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,423.0,63.0,7.0,72.0,17.0,1995.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+904,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,330.0,90.0,11.0,12.0,6.0,1801.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+905,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,26.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],4.0,4.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+906,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,,7.0,7.0,127.0,9.0,9.0,124.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,12,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,,['jax'],8.0,8.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+907,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,112.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,133.0,133.0,,,,,,,,3.0,,,,,,,,genixpro/hypermax,,,,,,,,,,,,
+908,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,6.0,14.0,108.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,584.0,584.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+909,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,12.0,13.0,26.0,4.0,13.0,86.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,119.0,119.0,,,,,,,,3.0,,,,,,,,SAP-archive/contextual-ai,,,,,,,,,,,,
+910,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,468.0,91.0,22.0,52.0,15.0,3265.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+911,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,116.0,44.0,13.0,7.0,20.0,949.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+912,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,39.0,7.0,19.0,14.0,919.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+913,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,366.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+914,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,89.0,17.0,5.0,4.0,12.0,641.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+915,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,52.0,16.0,13.0,14.0,11.0,532.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+916,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,4.0,4.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+917,pyclugen,clugen/pyclugen,data-pipelines,,https://github.com/clugen/pyclugen,https://github.com/clugen/pyclugen,MIT,2020-08-22 19:52:09.000,2024-10-11 10:48:22.000000,2024-10-11 10:48:17,268.0,,,1.0,,,1.0,8.0,Multidimensional cluster generation in Python.,,10,False,2024-07-21 19:47:53.000,1.1.3,11.0,pyclugen,,,,,5.0,5.0,https://pypi.org/project/pyclugen,2024-07-21 19:47:53.000,,185.0,185.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+918,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,150.0,Python package to generate stock portfolios.,4.0,9,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+919,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",2.0,2.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+920,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,8.0,8.0,2.0,1.0,,69.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,58.0,58.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
diff --git a/latest-changes.md b/latest-changes.md
index 2797d0f8..ebaedcbb 100644
--- a/latest-changes.md
+++ b/latest-changes.md
@@ -2,29 +2,29 @@
_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._
-- ChatterBot (π₯38 Β· β 14K Β· π) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3
-- PySyft (π₯37 Β· β 9.6K Β· π) - Perform data science on data that remains in someone elses.. Apache-2 MIT
-- tesserocr (π₯31 Β· β 2.1K Β· π) - A Python wrapper for the tesseract-ocr API. MIT
-- dask-ml (π₯30 Β· β 920 Β· π) - Scalable Machine Learning with Dask. BSD-3
-- sacred (π₯29 Β· β 4.3K Β· π) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT
-- pytorch_geometric_temporal (π₯26 Β· β 2.7K Β· π) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT MIT βοΈGPL-3.0
-- tick (π₯21 Β· β 500 Β· π) - Module for statistical learning, with a particular emphasis on time-.. BSD-3
+- nltk (π₯45 Β· β 14K Β· π) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2
+- LightGBM (π₯43 Β· β 17K Β· π) - A fast, distributed, high performance gradient boosting (GBT, GBDT,.. MIT
+- PyTorch Geometric (π₯41 Β· β 22K Β· π) - Graph Neural Network Library for PyTorch. MIT MIT
+- OCRmyPDF (π₯38 Β· β 18K Β· π) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing.. MPL-2.0
+- PyOD (π₯37 Β· β 8.9K Β· π) - A Python Library for Outlier and Anomaly Detection, Integrating.. BSD-2
+- haystack (π₯36 Β· β 19K Β· π) - AI orchestration framework to build customizable, production-.. Apache-2
+- torchdiffeq (π₯32 Β· β 5.8K Β· π) - Differentiable ODE solvers with full GPU support and.. MIT Apache-2 MIT BSD-3
-- DeepChem (π₯34 Β· β 5.7K Β· π) - Democratizing Deep-Learning for Drug Discovery, Quantum.. MIT BSD-3 MIT
-- tensorly (π₯32 Β· β 1.6K Β· π) - TensorLy: Tensor Learning in Python. BSD-2
-- vit-pytorch (π₯31 Β· β 22K Β· π) - Implementation of Vision Transformer, a simple way to.. MIT MIT
-- CNTK (π₯29 Β· β 18K Β· π) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT
-- dstack (π₯29 Β· β 1.7K Β· π) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0
-- PaddleDetection (π₯28 Β· β 13K Β· π) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 MIT
+- Altair (π₯42 Β· β 9.6K Β· π) - Declarative visualization library for Python. BSD-3
+- SageMaker SDK (π₯40 Β· β 2.1K Β· π) - A library for training and deploying machine learning.. Apache-2 BSD-2
+- PySyft (π₯36 Β· β 9.6K Β· π) - Perform data science on data that remains in someone elses.. Apache-2 MIT
+- Fiona (π₯35 Β· β 1.2K Β· π) - Fiona reads and writes geographic data files. BSD-3
+- NIPYPE (π₯35 Β· β 760 Β· π) - Workflows and interfaces for neuroimaging packages. Apache-2
+- DEAP (π₯34 Β· β 6K Β· π) - Distributed Evolutionary Algorithms in Python. βοΈLGPL-3.0
+- TabPy (π₯26 Β· β 1.6K Β· π) - Execute Python code on the fly and display results in Tableau.. MIT