Awesome Python Data Science

Open standard for machine learning interoperability

Parallel computing with task scheduling

Fast and Accurate ML in 3 Lines of Code

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A unified framework for machine learning with time series

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Automated Machine Learning with scikit-learn

An open source python library for automated feature engineering

Fit interpretable models. Explain blackbox machine learning.

A scikit-learn compatible neural network library that wraps PyTorch

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Sequential model-based optimization with a `scipy.optimize` interface

A library for debugging/inspecting machine learning classifiers and explaining their predictions

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

An intuitive library to add plotting functionality to scikit-learn objects.

A modular active learning framework for Python

Feature engineering and selection open-source Python library compatible with sklearn.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Genetic Programming in Python, with a scikit-learn inspired API

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Metric learning algorithms in Python

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

PySpark + Scikit-learn = Sparkit-learn

A scikit-learn based module for multi-label et. al. classification

Python package for Bayesian Machine Learning with scikit-learn API

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

Stacked Generalization (Ensemble Learning)

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠