parallel-trends
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
Python implementation of the conditional extrapolation pre-test for difference-in-differences (Mikhaeil & Harshaw, 2026). Returns pass/fail decision, conditional confidence interval, and diagnostic scalars as a typed result object.