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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 | HistoCleanQUB/HistoClean HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation. | aleju/imgaug Image augmentation for machine learning experiments. |
|---|---|---|
| Stars | 32 | 14,737 |
| Net stars, last 30 days | Not recorded | +4 |
| Largest star day | Not recorded | +3 on Sep 16, 2026 |
| Milestone reached in the record | None | None |
| Forks | 7 | 2,444 |
| Language | Python | Python |
| License | AGPL-3.0 | MIT |
| Created | May 5, 2021 | Jul 10, 2015 |
| Last push | Feb 18, 2022 | Jul 30, 2024 |
| Archived | No | No |
| Health facts: Maintenance | 1 of 4 checks (2 without data) | 1 of 4 checks |
| Health facts: Releases | 1 of 3 checks (1 without data) | 2 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks |
| Commits, last 13 weeks | No data | 0 |
| Weeks with commits, last 52 | No data | 0 of 52 |
| In the Repository Index since | Oct 22, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: images, deep-learning, image-augmentation. 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