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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 | awslabs/gluonts Probabilistic time series modeling in Python | Lightning-AI/pytorch-lightning Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. |
|---|---|---|
| Stars | 5,261 | 31,449 |
| Net stars, last 30 days | +17 | +64 |
| Largest star day | +5 on Jun 29, 2026 | +7 on Apr 26, 2026 |
| Milestone reached in the record | None | None |
| Forks | 844 | 3,857 |
| Language | Python | Python |
| License | APACHE-2.0 | APACHE-2.0 |
| Created | May 15, 2019 | Mar 31, 2019 |
| Last push | Oct 13, 2026 | Oct 30, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 4 of 4 checks |
| Health facts: Releases | 2 of 3 checks (1 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 | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 14 |
| Weeks with commits, last 52 | No data | 34 of 52 |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: deep-learning, machine-learning, pytorch, artificial-intelligence, data-science. 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