igerber/diff-diff
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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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#analytics#causal-inference#data-science#did#difference-in-differences#econometrics#economics#event-study#geo-experiments#marketing-analytics#panel-data#parallel-trends#sensitivity-analysis#staggered-adoption#statistics#survey-design#synthetic-control#treatment-effects
Should you contribute to igerber/diff-diff?
igerber/diff-diff has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
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