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Stars gained: From May 15, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 15, 2026 to Nov 14, 2026, each from zero050May 15Nov 14, 2026facebookexperimental/RobynEpistasisLab/tpot
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 14, 2026facebookexperimental/RobynEpistasisLab/tpot

Facts

Fact facebookexperimental/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.

EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Stars 1,53610,060
Net stars, last 30 days +17+5
Largest star day +3 on Oct 22, 2026+3 on Nov 2, 2026
Milestone reached in the record None10,000 on May 2, 2026
Forks 4391,558
Language Jupyter NotebookJupyter Notebook
License MITLGPL-3.0
Created Apr 30, 2020Nov 3, 2015
Last push Nov 10, 2026Sep 11, 2025
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 13, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: hyperparameter-optimization. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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