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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero01KApr 26Nov 3, 2026deepspeedai/DeepSpeedbigscience-workshop/petals
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 26Nov 3, 2026deepspeedai/DeepSpeedbigscience-workshop/petals

Facts

Factdeepspeedai/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

bigscience-workshop/petals

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Stars43,29010,688
Net stars, last 30 days+137+90
Largest star day+22 on Oct 4, 2026+48 on Jul 20, 2026
Milestone reached in the recordNoneNone
Forks5,062651
LanguagePythonPython
LicenseAPACHE-2.0MIT
CreatedJan 23, 2020Jun 12, 2022
Last pushNov 3, 2026Sep 7, 2024
ArchivedNoNo
Health facts: Maintenance4 of 4 checks1 of 4 checks (2 without data)
Health facts: Releases2 of 3 checks1 of 3 checks (1 without data)
Health facts: Security practice1 of 1 check0 of 1 check (1 without data)
Health facts: Community files3 of 3 checks1 of 3 checks (2 without data)
Commits, last 13 weeks329No data
Weeks with commits, last 5252 of 52No data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, pytorch, machine-learning, pipeline-parallelism. 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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