scikit-learn: machine learning in Python
Open standard for machine learning interoperability
Parallel computing with task scheduling
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
Flower: A Friendly Federated AI Framework
π :bar_chart: :bulb: Orange: Interactive data analysis
Symbolic Learning in Python and Julia
Seamlessly integrate LLMs into scikit-learn.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Python library for portfolio optimization built on top of scikit-learn
A library of sklearn compatible categorical variable encoders
Python AutoML for Trading Systems and Sports Betting
Automated Machine Learning on Kubernetes
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
:crown: Multivariate exploratory data analysis in Python β PCA, CA, MCA, MFA, FAMD, GPA
A toolkit for time series machine learning and deep learning
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
Extra blocks for scikit-learn pipelines.
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Survival analysis built on top of scikit-learn
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
ONNXMLTools enables conversion of models to ONNX
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Collection of sports betting AI tools.
DoubleML - Double Machine Learning 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.
Convert scikit-learn models and pipelines to ONNX
skops is a Python library helping you share your scikit-learn based models and put them in production
Static reproducibility checks, experiment replay, and verification for ML pipelines.
AI-powered fake news detection system with multiple ML models and explainability.