Compare repositories
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 | stas00/ml-engineering Machine Learning Engineering Open Book | ray-project/ray Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. |
|---|---|---|
| Stars | 19,660 | 44,195 |
| Net stars, last 30 days | +549 | +269 |
| Largest star day | +182 on Oct 5, 2026 | +23 on May 8, 2026 |
| Milestone reached in the record | None | None |
| Forks | 1,301 | 8,242 |
| Language | Python | Python |
| License | CC-BY-SA-4.0 | APACHE-2.0 |
| Created | Sep 2, 2020 | Oct 25, 2016 |
| Last push | Nov 2, 2026 | Nov 4, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 4 of 4 checks | 4 of 4 checks |
| Health facts: Releases | 0 of 3 checks (1 without data) | 1 of 3 checks |
| Health facts: Security practice | 0 of 1 check | 1 of 1 check |
| Health facts: Community files | 1 of 3 checks | 2 of 3 checks |
| Commits, last 13 weeks | 141 | 1,123 |
| Weeks with commits, last 52 | 27 of 52 | 52 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: pytorch, large-language-models, llm, machine-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