Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
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Updated
Jun 15, 2026 - Python
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
A curated, vendor-neutral list of tools, libraries, research, and resources for measuring marketing effectiveness — MMM, incrementality, causal inference, and attribution.
Testing open source geo-experimentation tools for our readers
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