#scikit-learn

Python library for portfolio optimization built on top of scikit-learn

Extra blocks for scikit-learn pipelines.

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

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

Fit interpretable models. Explain blackbox machine learning.

skops is a Python library helping you share your scikit-learn based models and put them in production

scikit-activeml: A Comprehensive and User-Friendly Active Learning Library for Reserach

Open-source tabular foundation model for fast, training-free regression with predictive distributions.

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

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

MLeap: Deploy ML Pipelines to Production

The scikit-learn-native foundation package for chemometrics 🧪 🤖

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

ONNXMLTools enables conversion of models to ONNX

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

The missing bridge between your ML models and your AI agents.

Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.

scikit-learn-compatible time-series cross-validation: purging, embargo, combinatorial purged CV, and deflated Sharpe ratios

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs