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py-why

py-why/dowhy

PythonMITactivepopular
89Health

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Stars8.2k
Forks1.0k
Open Issues175
Contributors1.0k
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
14
Popularity
25
#bayesian-networks#causal-inference#causal-machine-learning#causal-models#causality#data-science#do-calculus#graphical-models#machine-learning#python3#treatment-effects
View on GitHub ↗Issues (175) ↗Pull Requests ↗Wiki ↗

Should you contribute to py-why/dowhy?

py-why/dowhy 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.

Community

py-why
py-why/dowhy
PythonMIT
89

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

activepopular
8.2k1.0k contributors175 issues
0d ago

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