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Stars gained: From May 8, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 13, 2026, each from zero01K2KMay 8Nov 13, 2026meta-pytorch/tntray-project/ray
Stars: The star count at the end of each dayStarsThe star count at the end of each day020K40KApr 26Nov 13, 2026meta-pytorch/tntray-project/ray

Facts

Fact meta-pytorch/tnt

A lightweight library for PyTorch training tools and utilities

ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Stars 1,72344,285
Net stars, last 30 days 0+274
Largest star day +1 on May 17, 2026+23 on May 8, 2026
Milestone reached in the record NoneNone
Forks 3138,281
Language PythonPython
License Other licenseAPACHE-2.0
Created Dec 10, 2016Oct 25, 2016
Last push Nov 13, 2026Nov 14, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases 0 of 3 checks (2 without data)1 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeks No data1,178
Weeks with commits, last 52 No data52 of 52
In the Repository Index since Nov 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: pytorch, python, machine-learning, deep-learning, reinforcement-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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