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Stars gained: From Sep 16, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Sep 16, 2026 to Nov 4, 2026, each from zero02040Sep 16Nov 4, 2026EpistasisLab/scikit-rebatevirgili0/Virgilio
Stars: The star count at the end of each dayStarsThe star count at the end of each day010KApr 26Nov 4, 2026EpistasisLab/scikit-rebatevirgili0/Virgilio

Facts

FactEpistasisLab/scikit-rebate

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

virgili0/Virgilio

Your new Mentor for Data Science E-Learning.

Stars42115,005
Net stars, last 30 days0+22
Largest star day+1 on Sep 16, 2026+67 on May 30, 2026
Milestone reached in the recordNoneNone
Forks722,495
LanguageJupyter NotebookJupyter Notebook
LicenseMITOther license
CreatedSep 19, 2016Mar 12, 2019
Last pushSep 12, 2026Oct 14, 2025
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)1 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)0 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 data0 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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