editquality and ores

Editquality is a machine learning library that powers the core classification models used by ORES, making it a foundational dependency rather than a competitor or sibling.

editquality

Established

ores

Emerging

Maintenance 0/25

Adoption 7/25

Maturity 25/25

Community 20/25

Maintenance 0/25

Adoption 9/25

Maturity 16/25

Community 21/25

Stars: 37

Forks: 23

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 110

Forks: 34

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stale 6m No Dependents

Archived Stale 6m No Package No Dependents

About editquality

wikimedia/editquality

Github mirror - our actual code is hosted with Gerrit (please see https://www.mediawiki.org/wiki/Developer_access for contributing)

This library helps identify potentially problematic edits on Wikimedia projects like Wikipedia. It takes recent changes or proposed edits as input and uses machine learning models to predict their quality or likelihood of being vandalism. This helps human editors and community managers prioritize reviews and maintain content integrity.

content-moderation community-management vandalism-detection wikimedia-editing edit-review

About ores

wikimedia/ores

Github mirror - our actual code is hosted with Gerrit (please see https://www.mediawiki.org/wiki/Developer_access for contributing)

Related comparisons

editquality and articlequality editquality and draftquality editquality and articlequality editquality and draftquality

Scores updated daily from GitHub, PyPI, and npm data. How scores work