py-why / dowhy

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.

Date Created 2018-05-31 (6 years ago)

Commits 1,063 (last one 27 days ago)

Stargazers 7,194 (7 this week)

Watchers 140 (0 this week)

Forks 936

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these py-why/dowhy is ranked #6,120 (99th percentile) for total stargazers, and #11,498 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #924/119,431.

py-why/dowhy is also tagged with popular topics, for these it's ranked: machine-learning (#251/8063), python3 (#41/4145), data-science (#89/2138), causal-inference (#1/114)

Other Information

py-why/dowhy has 4 open pull requests on Github, 655 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 134 open issues and 348 closed issues.

There have been 16 releases, the latest one was published on 2024-11-24 (27 days ago) with the name v0.12: Python 3.12 compatibility, [experimental] support for time-series data, and extensions to new scenarios.

Homepage URL: https://www.pywhy.org/dowhy

All Topics

python3 causality do-calculus data-science causal-models causal-inference graphical-models machine-learning bayesian-networks treatment-effects causal-machine-learning

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592 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-21 @ 03:34pm, id: 135584946 / R_kgDOCBTcsg