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Stars gained: From Oct 22, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 4, 2026, each from zero010Oct 22Nov 4, 2026chasedehan/BoostARootaludwig-ai/ludwig
Stars: The star count at the end of each dayStarsThe star count at the end of each day05K10KApr 25Nov 4, 2026chasedehan/BoostARootaludwig-ai/ludwig

Facts

Factchasedehan/BoostARoota

A fast xgboost feature selection algorithm

ludwig-ai/ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

Stars23111,793
Net stars, last 30 daysNot recorded+25
Largest star dayNot recorded+4 on May 11, 2026
Milestone reached in the recordNoneNone
Forks361,213
LanguagePythonPython
LicenseMITAPACHE-2.0
CreatedAug 23, 2017Dec 27, 2018
Last pushJun 30, 2026Nov 2, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)3 of 3 checks
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 data10
Weeks with commits, last 52No data17 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

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