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Facts
| Fact | DLR-RM/RAFCON RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API. | DLR-RM/stable-baselines3 PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. |
|---|---|---|
| Stars | 213 | 13,958 |
| Net stars, last 30 days | +1 | +108 |
| Largest star day | +1 on May 13, 2026 | +12 on Sep 16, 2026 |
| Milestone reached in the record | None | None |
| Forks | 39 | 2,180 |
| Language | Python | Python |
| License | EPL-1.0 | MIT |
| Created | Feb 25, 2017 | May 5, 2020 |
| Last push | Oct 27, 2026 | Oct 26, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 3 of 4 checks |
| Health facts: Releases | 2 of 3 checks (1 without data) | 2 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 5 |
| Weeks with commits, last 52 | No data | 19 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: robotics. 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