CausalLift: Python package for causality-based Uplift Modeling in real-world business
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Updated
Apr 15, 2026 - Python
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Python tools for regression discontinuity designs
Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow
Turn before/after time-series questions into counterfactual charts, reproducible reports, share packages, and AI-agent-ready handoffs.
Did that policy actually work? Causal inference for time series — ARIMA, Bayesian STS, Diff-in-Diff, Synthetic Control. Streamlit app with counterfactual charts and PDF reports.
Quasi-experiment analytics platform: измерение причинного эффекта без A/B-теста (Diff-in-Diff, Event Study, Causal Impact, ITS, Forecast baseline, Anomaly Detection) — Streamlit + statsmodels
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