google / lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

Date Created 2022-02-10 (2 years ago)

Commits 199 (last one 2 months ago)

Stargazers 815 (7 this week)

Watchers 30 (0 this week)

Forks 163

License apache-2.0

Ranking

RepositoryStats indexes 523,840 repositories, of these google/lightweight_mmm is ranked #57,986 (89th percentile) for total stargazers, and #71,445 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,823/100,813.

google/lightweight_mmm is also tagged with popular topics, for these it's ranked: data-science (#422/1941)

Other Information

google/lightweight_mmm has 10 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 95 open issues and 78 closed issues.

There have been 11 releases, the latest one was published on 2023-05-23 (about a year ago) with the name v0.1.9.

Homepage URL: https://lightweight-mmm.readthedocs.io/en/latest/index.html

All Topics

mmm bayesian data-science econometrics marketing-science

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

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Languages

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

updated: 2024-05-31 @ 08:39pm, id: 457695550 / R_kgDOG0fhPg