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Stars gained: From May 19, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 19, 2026 to Nov 14, 2026, each from zero01020May 19Nov 14, 2026sfirke/janitorszilard/benchm-ml
Stars: The star count at the end of each dayStarsThe star count at the end of each day1.6K1.8KApr 26Nov 14, 2026sfirke/janitorszilard/benchm-ml

Facts

Fact sfirke/janitor

simple tools for data cleaning in R

szilard/benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Stars 1,4621,894
Net stars, last 30 days +1-3
Largest star day +1 on Jun 7, 2026+1 on Jun 5, 2026
Milestone reached in the record NoneNone
Forks 134326
Language RR
License Other licenseMIT
Created Apr 12, 2016Mar 28, 2015
Last push Dec 23, 2024Sep 16, 2022
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 1 of 3 checks (1 without data)0 of 3 checks (2 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 13, 2026Oct 22, 2026

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