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. observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 27
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1665
- days_rel: n/a
- days_push: 442
- n_releases_24m: 0
Adoption not part of the score
1052 stars · 234 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
LightweightMMM is a Python library for Bayesian Marketing Mix Modeling (MMM) built on JAX and Numpyro, helping advertisers measure media channel effectiveness and optimize budget allocation. It has been deprecated in favor of Google's successor library, Meridian, and is no longer supported.
Use cases
- estimate optimal marketing budget allocation across media channels
- measure advertising effectiveness with Bayesian marketing mix modeling
- attribute sales KPI changes to online and offline media channels
- model media spend impact with uncertainty quantification
- build hierarchical MMM models across geographies
When to choose
- maintaining or reproducing legacy models originally built with LightweightMMM
- studying the library's approach to Bayesian MMM before migrating to Meridian
When to avoid
- starting a new marketing mix modeling project - use Google Meridian instead
- expecting bug fixes or support, since the project is officially unsupported
- needing production-grade MMM tooling with active maintenance
Facets
library · maturity abandoned
machine-learning data-science analytics data-science analytics python cross-platform bayesian marketing-mix-modeling media-attribution jax numpyro budget-optimization deprecated marketing-science
2 sources
- readme: https://github.com/google/lightweight_mmm · fetched 2026-08-28 · 21e73538ea35
- registry_pypi: https://pypi.org/pypi/lightweight_mmm/json · fetched 2026-08-29 · 820085ce3da9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google/lightweight_mmm | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="google/lightweight_mmm")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem