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Stars gained: From Oct 22, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 4, 2026, each from zero00.51Oct 22Nov 4, 2026tlambert03/LLSpyHistoCleanQUB/HistoClean
Stars: The star count at the end of each dayStarsThe star count at the end of each day3032Oct 22Nov 4, 2026tlambert03/LLSpyHistoCleanQUB/HistoClean

Facts

Facttlambert03/LLSpy

Lattice light-sheet post-processing utility.

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.

Stars3032
Net stars, last 30 daysNot recordedNot recorded
Largest star dayNot recordedNot recorded
Milestone reached in the recordNoneNone
Forks67
LanguagePythonPython
LicenseOther licenseAGPL-3.0
CreatedJul 4, 2017May 5, 2021
Last pushNov 2, 2026Feb 18, 2022
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases1 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: image-processing, image-analysis. 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

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