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Marketing Science Python Packages

Python packages with the GitHub topic marketing-science. Sorted by monthly downloads, with stars and forks.
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.

5K 1K 237
mrcsvg
geoexp

Geo-experiment design on top of augsynth-py: market selection, power-based design ranking, and experiment reporting

822 0 0
facebookexperimental
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.

659 2K 437
facebookexperimental
meta-robyn-py

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.

56 2K 437
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