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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero05KApr 26Nov 3, 2026EpistasisLab/tpotmicrosoft/ML-For-Beginners
Stars: The star count at the end of each dayStarsThe star count at the end of each day50KApr 26Nov 3, 2026EpistasisLab/tpotmicrosoft/ML-For-Beginners

Facts

FactEpistasisLab/tpot

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

microsoft/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Stars10,05991,980
Net stars, last 30 days+10+834
Largest star day+3 on Nov 2, 2026+100 on Jun 1, 2026
Milestone reached in the record10,000 on May 2, 2026None
Forks1,55822,838
LanguageJupyter NotebookJupyter Notebook
LicenseLGPL-3.0MIT
CreatedNov 3, 2015Mar 3, 2021
Last pushSep 11, 2025Oct 31, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)1 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data32
Weeks with commits, last 52No data37 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

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