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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 zero0100200Sep 16Nov 4, 2026EpistasisLab/scikit-rebatefastai/fastbook
Stars: The star count at the end of each dayStarsThe star count at the end of each day010K20KApr 26Nov 4, 2026EpistasisLab/scikit-rebatefastai/fastbook

Facts

FactEpistasisLab/scikit-rebate

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

fastai/fastbook

The fastai book, published as Jupyter Notebooks

Stars42125,448
Net stars, last 30 days0+100
Largest star day+1 on Sep 16, 2026+13 on Sep 26, 2026
Milestone reached in the recordNone25,000 on Jul 2, 2026
Forks729,486
LanguageJupyter NotebookJupyter Notebook
LicenseMITOther license
CreatedSep 19, 2016Feb 28, 2020
Last pushSep 12, 2026Oct 12, 2026
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)1 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeksNo data2
Weeks with commits, last 52No data2 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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