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 (3 years ago)

Commits 203 (last one 2 months ago)

Stargazers 952 (2 this week)

Watchers 32 (0 this week)

Forks 210

License apache-2.0

Ranking

RepositoryStats indexes 633,559 repositories, of these google/lightweight_mmm is ranked #55,651 (91st percentile) for total stargazers, and #67,496 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #8,929/129,482.

google/lightweight_mmm is also tagged with popular topics, for these it's ranked: data-science (#422/2223)

Other Information

google/lightweight_mmm has 11 open pull requests on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 110 open issues and 79 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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189 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: 2025-03-30 @ 11:46am, id: 457695550 / R_kgDOG0fhPg