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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 | sniklaus/3d-ken-burns an implementation of 3D Ken Burns Effect from a Single Image using PyTorch | keras-team/keras Deep Learning for humans |
|---|---|---|
| Stars | 1,580 | 64,426 |
| Net stars, last 30 days | +4 | +68 |
| Largest star day | +2 on Oct 1, 2026 | +39 on Jul 5, 2026 |
| Milestone reached in the record | None | None |
| Forks | 222 | 19,816 |
| Language | Python | Python |
| License | Other license | APACHE-2.0 |
| Created | Nov 19, 2019 | Mar 28, 2015 |
| Last push | Jun 1, 2026 | Nov 14, 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 | 1 of 3 checks (2 without data) | 2 of 3 checks |
| Commits, last 13 weeks | No data | 400 |
| Weeks with commits, last 52 | No data | 52 of 52 |
| In the Repository Index since | Nov 12, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: pytorch, python, deep-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