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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 | alirezadir/Production-Level-Deep-Learning A guideline for building practical production-level deep learning systems to be deployed in real world applications. | recommenders-team/recommenders Best Practices on Recommendation Systems |
|---|---|---|
| Stars | 4,666 | 21,989 |
| Net stars, last 30 days | +7 | +51 |
| Largest star day | +2 on May 13, 2026 | +7 on Jun 8, 2026 |
| Milestone reached in the record | None | None |
| Forks | 686 | 3,330 |
| Language | Not reported | Python |
| License | No license | MIT |
| Created | Nov 19, 2019 | Sep 19, 2018 |
| Last push | Jun 13, 2025 | Nov 5, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 2 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 1 of 1 check |
| Health facts: Community files | 0 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 222 |
| Weeks with commits, last 52 | No data | 43 of 52 |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: machine-learning, deep-learning, artificial-intelligence, ai. 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