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Stars gained: From May 9, 2026 to Nov 11, 2026, each from zeroStars gainedFrom May 9, 2026 to Nov 11, 2026, each from zero02550May 9Nov 11, 2026hibayesian/awesome-automl-papersEpistasisLab/tpot
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K7.5K10KApr 26Nov 11, 2026hibayesian/awesome-automl-papersEpistasisLab/tpot

Facts

Fact hibayesian/awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

EpistasisLab/tpot

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

Stars 4,16610,060
Net stars, last 30 days +5+8
Largest star day +2 on May 14, 2026+3 on Nov 2, 2026
Milestone reached in the record None10,000 on May 2, 2026
Forks 6751,558
Language Not reportedJupyter Notebook
License APACHE-2.0LGPL-3.0
Created Nov 20, 2017Nov 3, 2015
Last push Jun 11, 2024Sep 11, 2025
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 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 10, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: automl, 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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