Double Machine Learning Python Packages

doubleml

DoubleML - Double Machine Learning in Python

morie

Multi-domain Open Research and Inferential Estimation

statspai

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.

causal-hybrid-control

Physics-structured dynamics with a learned causal residual, controlled by constrained optimal control / MPC.

graphdml

Causal effects on networks with double machine learning: ATE, direct and peer (spillover) effects with confidence intervals that account for network dependence. scikit-learn and Neo4j integration.

insurance-causal

Causal inference for insurance pricing — DML, CatBoost nuisance models, confounding bias reports

omni-proof

Open-source causal-multimodal engine for creative attribution. Answers why a creative works — not just which one performed better — using Gemini Embedding 2, DoWhy, and EconML.

insurance-autodml

Automatic Debiased ML via Riesz Representers — continuous treatment elasticity, dose-response, selection correction, FCA reports