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 | xingjian-bai/opal OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains. | ultralytics/yolov5 Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export. |
|---|---|---|
| Stars | 347 | 58,253 |
| Net stars, last 30 days | Not recorded | +197 |
| Largest star day | +95 on Oct 21, 2026 | +22 on Oct 23, 2026 |
| Milestone reached in the record | 100 on Oct 22, 2026 | None |
| Forks | 21 | 17,442 |
| Language | Python | Not reported |
| License | MIT | AGPL-3.0 |
| Created | Oct 21, 2026 | May 18, 2020 |
| Last push | Nov 3, 2026 | Nov 4, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 3 of 4 checks | 4 of 4 checks |
| Health facts: Releases | 3 of 3 checks | 0 of 3 checks |
| Health facts: Security practice | 0 of 1 check | 1 of 1 check |
| Health facts: Community files | 2 of 3 checks | 3 of 3 checks |
| Commits, last 13 weeks | 65 | 22 |
| Weeks with commits, last 52 | 3 of 52 | 34 of 52 |
| In the Repository Index since | Oct 23, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deep-learning, pytorch. 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