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 1,056 (last one a day ago)

Stargazers 7,099 (3 this week)

Watchers 138 (0 this week)

Forks 935

License mit

Ranking

RepositoryStats indexes 579,238 repositories, of these py-why/dowhy is ranked #6,079 (99th percentile) for total stargazers, and #11,659 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #902/115,001.

py-why/dowhy is also tagged with popular topics, for these it's ranked: machine-learning (#252/7866), python3 (#40/4063), data-science (#90/2095), causal-inference (#1/109)

Other Information

py-why/dowhy has 6 open pull requests on Github, 648 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 130 open issues and 347 closed issues.

There have been 15 releases, the latest one was published on 2023-12-25 (10 months ago) with the name v0.11.1: Bug fixes and improvements.

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

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Languages

The only known language in this repository is Python

updated: 2024-11-07 @ 12:33am, id: 135584946 / R_kgDOCBTcsg