mckinsey / causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

Date Created 2019-12-12 (4 years ago)

Commits 226 (last one 9 months ago)

Stargazers 2,251 (2 this week)

Watchers 51 (0 this week)

Forks 258

License other

Ranking

RepositoryStats indexes 589,134 repositories, of these mckinsey/causalnex is ranked #22,716 (96th percentile) for total stargazers, and #40,554 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,456/117,584.

mckinsey/causalnex is also tagged with popular topics, for these it's ranked: machine-learning (#703/7978), data-science (#231/2110), causal-inference (#9/113)

Other Information

mckinsey/causalnex has 10 open pull requests on Github, 48 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 25 open issues and 116 closed issues.

There have been 20 releases, the latest one was published on 2023-06-22 (about a year ago) with the name 0.12.1.

Homepage URL: http://causalnex.readthedocs.io/

All Topics

causalnex data-science causal-models causal-networks causal-inference machine-learning bayesian-networks bayesian-inference

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70 commits on the default branch (develop) since jan '22

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The primary language is Python but there's also others...

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updated: 2024-12-03 @ 12:17pm, id: 227637473 / R_kgDODZF44Q