Scikit Learn GitHub Repositories (2026) · Open Source Tools

Open standard for machine learning interoperability

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Parallel computing with task scheduling

Fit interpretable models. Explain blackbox machine learning.

Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.

Fast and Accurate ML in 3 Lines of Code

A unified framework for machine learning with time series

Flower: A Friendly Federated AI Framework

A toolkit for time series machine learning and deep learning

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python

Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.

The practitioner's forecasting library

Tabular Data Science Skills for guardrailing AI Agents