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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero0200400Apr 26Nov 4, 2026Lightning-AI/pytorch-lightningrecommenders-team/recommenders
Stars: The star count at the end of each dayStarsThe star count at the end of each day25K30KApr 25Nov 4, 2026Lightning-AI/pytorch-lightningrecommenders-team/recommenders

Facts

FactLightning-AI/pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

recommenders-team/recommenders

Best Practices on Recommendation Systems

Stars31,44321,975
Net stars, last 30 days+79+62
Largest star day+7 on Apr 26, 2026+7 on Jun 8, 2026
Milestone reached in the recordNoneNone
Forks3,8453,332
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedMar 31, 2019Sep 19, 2018
Last pushOct 30, 2026Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance4 of 4 checks4 of 4 checks
Health facts: Releases2 of 3 checks2 of 3 checks
Health facts: Security practice1 of 1 check1 of 1 check
Health facts: Community files3 of 3 checks3 of 3 checks
Commits, last 13 weeks17219
Weeks with commits, last 5235 of 5242 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: python, deep-learning, artificial-intelligence, ai, data-science, machine-learning. 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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