facebookresearch/balance

Causal Inference in Python

Uplift modeling and causal inference with machine learning algorithms

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

relplot: Utilities for measuring calibration and plotting reliability diagrams

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.

A set of skills to call your agent Bayes. Thomas Bayes.

A Python package for causal inference in quasi-experimental settings