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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 | Trusted-AI/AIX360 Interpretability and explainability of data and machine learning models | harvard-edge/cs249r_book Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai |
|---|---|---|
| Stars | 1,809 | 29,938 |
| Net stars, last 30 days | +3 | +1,183 |
| Largest star day | +2 on Jul 21, 2026 | +642 on Jul 2, 2026 |
| Milestone reached in the record | None | 25,000 on Jul 2, 2026 |
| Forks | 327 | 3,711 |
| Language | Python | Python |
| License | APACHE-2.0 | Other license |
| Created | Jul 11, 2019 | Sep 6, 2023 |
| Last push | Sep 5, 2026 | Nov 5, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 1 of 3 checks (1 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) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 6,638 |
| Weeks with commits, last 52 | No data | 52 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, deep-learning, artificial-intelligence. 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