Double Machine Learning Python Packages

morie

MORIE: multi-domain scientific computing toolkit (Python + R) for observational causal inference, survey methods, and criminal-justice analytics — home of the MRM (Multilevel Reconciliation Methodology) framework.

doubleml

DoubleML - Double Machine Learning in Python

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.

insurance-causal

Causal inference for insurance pricing: double machine learning, price elasticity, heterogeneous treatment effects, and post-hoc rate change evaluation for UK personal lines.

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 for continuous treatment causal inference in UK personal lines insurance pricing

moirais

Methods for Observational Inference and Robust Analysis of Interventions in Scientific Experimentation. Multi-domain scientific computing toolkit hosting the MRM framework for Canadian carceral, police, and oversight data, with general-purpose causal inference, signal processing, cryptography, spatial statistics, statistical physics, and psychometrics modules.