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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 zero050100Apr 26Nov 3, 2026EpistasisLab/tpotrasbt/python-machine-learning-book
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K12KApr 26Nov 3, 2026EpistasisLab/tpotrasbt/python-machine-learning-book

Facts

FactEpistasisLab/tpot

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

rasbt/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

Stars10,05812,664
Net stars, last 30 days+9+18
Largest star day+3 on Nov 3, 2026+5 on Apr 26, 2026
Milestone reached in the record10,000 on May 2, 2026None
Forks1,5584,362
LanguageJupyter NotebookJupyter Notebook
LicenseLGPL-3.0MIT
CreatedNov 3, 2015Aug 7, 2015
Last pushSep 11, 2025Jul 18, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
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)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
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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