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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | isayev/ReLeaSE Deep Reinforcement Learning for de-novo Drug Design | microsoft/tensorwatch Debugging, monitoring and visualization for Python Machine Learning and Data Science |
|---|---|---|
| Stars | 374 | 3,479 |
| Net stars, last 30 days | +1 | +8 |
| Largest star day | +1 on Jun 2, 2026 | +3 on Oct 9, 2026 |
| Milestone reached in the record | None | None |
| Forks | 135 | 362 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | MIT |
| Created | Apr 26, 2018 | May 15, 2019 |
| Last push | Dec 8, 2021 | Mar 30, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks (2 without data) |
| Health facts: Releases | 0 of 3 checks (2 without data) | 0 of 3 checks (2 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deeplearning, 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