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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 zero02550Apr 26Nov 3, 2026learnsyslab/safe-control-gymdeepdrive/deepdrive
Stars: The star count at the end of each dayStarsThe star count at the end of each day900Apr 25Nov 3, 2026learnsyslab/safe-control-gymdeepdrive/deepdrive

Facts

Factlearnsyslab/safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

deepdrive/deepdrive

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Stars932926
Net stars, last 30 days+150
Largest star day+2 on May 14, 2026+1 on Jun 15, 2026
Milestone reached in the recordNoneNone
Forks169147
LanguagePythonPython
LicenseMITOther license
CreatedAug 4, 2021Nov 21, 2017
Last pushApr 29, 2026Oct 3, 2023
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases1 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: gym, reinforcement-learning, control. 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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