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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 12, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 12, 2026, each from zero0100May 12Nov 12, 2026Visualize-ML/Book6_First-Course-in-Data-ScienceEpistasisLab/tpot
Stars: The star count at the end of each dayStarsThe star count at the end of each day5K10KApr 26Nov 12, 2026Visualize-ML/Book6_First-Course-in-Data-ScienceEpistasisLab/tpot

Facts

Fact Visualize-ML/Book6_First-Course-in-Data-Science

Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!

EpistasisLab/tpot

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

Stars 2,79310,060
Net stars, last 30 days +22+6
Largest star day +4 on Jun 20, 2026+3 on Nov 2, 2026
Milestone reached in the record None10,000 on May 2, 2026
Forks 5061,558
Language Jupyter NotebookJupyter Notebook
License No licenseLGPL-3.0
Created Oct 11, 2022Nov 3, 2015
Last push May 1, 2026Sep 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 0 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 11, 2026Oct 22, 2026

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