matched_markets VS GeoexperimentsResearch

Compare matched_markets vs GeoexperimentsResearch and see what are their differences.

matched_markets

Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression. (by google)

GeoexperimentsResearch

An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google product. (by google)
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matched_markets GeoexperimentsResearch
1 1
61 106
- -
0.0 10.0
6 months ago over 4 years ago
Python R
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

matched_markets

Posts with mentions or reviews of matched_markets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.

GeoexperimentsResearch

Posts with mentions or reviews of GeoexperimentsResearch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-01.

What are some alternatives?

When comparing matched_markets and GeoexperimentsResearch you can also consider the following projects:

Robyn - 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.

trimmed_match - This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

mta - Multi-Touch Attribution

scikit-learn - scikit-learn: machine learning in Python

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

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.