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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 zero0250500Apr 26Nov 3, 2026ExtendRealityLtd/VRTKUnity-Technologies/ml-agents
Stars: The star count at the end of each dayStarsThe star count at the end of each day10K20KApr 25Nov 3, 2026ExtendRealityLtd/VRTKUnity-Technologies/ml-agents

Facts

FactExtendRealityLtd/VRTK

An example of how to use the Tilia packages to create great content with VRTK v4.

Unity-Technologies/ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Stars3,71919,818
Net stars, last 30 days+1+114
Largest star day+1 on Jun 13, 2026+15 on Oct 13, 2026
Milestone reached in the recordNoneNone
Forks9704,517
LanguageC#C#
LicenseMITOther license
CreatedApr 23, 2016Sep 8, 2017
Last pushApr 24, 2024Oct 30, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)0 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data11
Weeks with commits, last 52No data24 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: unity3d, unity. 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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