Last commit on August 5, 2026·Created on July 2, 2019
retentioneering/retentioneering-tools
“A toolkit for reproducible product analytics and quantitative customer journey mapping”
Combined rank
#207
across all skills
In Data
#4
category rank
Stars
911
+0.1% in last 7d
Forks
136
0.0% in last 7d
Watchers
34
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
This collection provides data scientists and product analysts with the tools to analyze clickstream and event log data. It structures the process of building behavioral segmentations and validating quantitative UX hypotheses through a reproducible framework.
The toolkit enables the creation of Markov chain simulations and predictive models to better understand user movement through a product, turning raw event logs into structured behavioral maps.