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 1,067 (last one about a month ago)
Stargazers 7,287 (14 this week)
Watchers 140 (0 this week)
Forks 943
License mit
Ranking

RepositoryStats indexes 618,350 repositories, of these py-why/dowhy is ranked #6,204 (99th percentile) for total stargazers, and #11,601 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #958/125,168.

py-why/dowhy is also tagged with popular topics, for these it's ranked: machine-learning (#253/8271),  python3 (#42/4251),  data-science (#90/2192),  causal-inference (#1/115)

Other Information

py-why/dowhy has 4 open pull requests on Github, 659 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 132 open issues and 352 closed issues.

There have been 16 releases, the latest one was published on 2024-11-24 (3 months 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

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Recent Commit History

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

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Languages

The only known language in this repository is Python

PythonPython

updated: 2025-02-22 @ 04:43am, id: 135584946 / R_kgDOCBTcsg