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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero0500Apr 26Nov 4, 2026virgili0/VirgilioEpistasisLab/tpot
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K12K14KApr 26Nov 4, 2026virgili0/VirgilioEpistasisLab/tpot

Facts

Factvirgili0/Virgilio

Your new Mentor for Data Science E-Learning.

EpistasisLab/tpot

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

Stars15,00510,059
Net stars, last 30 days+22+10
Largest star day+67 on May 30, 2026+3 on Nov 2, 2026
Milestone reached in the recordNone10,000 on May 2, 2026
Forks2,4951,558
LanguageJupyter NotebookJupyter Notebook
LicenseOther licenseLGPL-3.0
CreatedMar 12, 2019Nov 3, 2015
Last pushOct 14, 2025Sep 11, 2025
ArchivedNoNo
Health facts: Maintenance1 of 4 checks1 of 4 checks (2 without data)
Health facts: Releases0 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check (1 without data)
Health facts: Community files3 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks0No data
Weeks with commits, last 520 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: machine-learning, scikit-learn, python, data-science. 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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