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Stars gained: From Oct 22, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Oct 22, 2026 to Nov 3, 2026, each from zero012Oct 22Nov 3, 2026HistoCleanQUB/HistoCleanalbumentations-team/albumentations
Stars: The star count at the end of each dayStarsThe star count at the end of each day010KApr 25Nov 3, 2026HistoCleanQUB/HistoCleanalbumentations-team/albumentations

Facts

FactHistoCleanQUB/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.

albumentations-team/albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Stars3215,300
Net stars, last 30 daysNot recorded-3
Largest star dayNot recorded+3 on May 20, 2026
Milestone reached in the recordNoneNone
Forks71,712
LanguagePythonPython
LicenseAGPL-3.0MIT
CreatedMay 5, 2021Jun 6, 2018
Last pushFeb 18, 2022Jun 25, 2025
ArchivedNoYes
Health facts: Maintenance1 of 4 checks (2 without data)0 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)1 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data0
Weeks with commits, last 52No data0 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

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

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