Mmm Python Packages

pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.

lightweight-mmm

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

owl-mix

OwlMix is a Python library for automated exploratory data analysis (EDA), designed for time-series and marketing mix modeling (MMM) workflows. OwlMix helps you quickly understand your data, identify trends, and prepare for modeling.

robynpy

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

mmm-framework

Bayesian Marketing Mix Modeling framework with causal calibration, pressure testing, and an adaptive measurement loop

simba-mcp

Model Context Protocol (MCP) server for SIMBA — connect Claude, Cursor, and AI assistants to Bayesian Marketing Mix Models (MMM)

murray-geo

Geographic Experiment design and Evaluation Tool designed to help you determine the true lift of marketing efforts.

hommmer

A simple Marketing Mix Modeling library in Python

meta-robyn-py

Python port of the Meta Robyn Marketing Mix Modeling (MMM) package

pysanity

Emulates sanity for non-pep compliant code via only the dirtiest of means