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Stars gained: From Sep 16, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Sep 16, 2026 to Nov 3, 2026, each from zero05001KSep 16Nov 3, 2026EpistasisLab/scikit-rebatemicrosoft/Data-Science-For-Beginners
Stars: The star count at the end of each dayStarsThe star count at the end of each day020K40KApr 26Nov 3, 2026EpistasisLab/scikit-rebatemicrosoft/Data-Science-For-Beginners

Facts

FactEpistasisLab/scikit-rebate

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

microsoft/Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

Stars42137,927
Net stars, last 30 days0+476
Largest star day+1 on Sep 16, 2026+71 on Sep 16, 2026
Milestone reached in the recordNoneNone
Forks727,636
LanguageJupyter NotebookJupyter Notebook
LicenseMITMIT
CreatedSep 19, 2016Mar 3, 2021
Last pushSep 12, 2026Oct 21, 2026
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases0 of 3 checks (2 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 data0
Weeks with commits, last 52No data27 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: data-science, 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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