articlequality and ores

ArticleQuality is a machine learning model trained and served by ORES (Objective Revision Evaluation Service), making them complements where ORES provides the infrastructure for deploying and querying article quality predictions.

articlequality

Established

ores

Emerging

Maintenance 2/25

Adoption 8/25

Maturity 25/25

Community 20/25

Maintenance 0/25

Adoption 9/25

Maturity 16/25

Community 21/25

Stars: 50

Forks: 30

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 110

Forks: 34

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stale 6m

Archived Stale 6m No Package No Dependents

About articlequality

wikimedia/articlequality

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

This library helps Wikipedia editors automatically assess the quality of articles. You provide the text content of a Wikipedia page, and it returns a prediction of its quality class (e.g., 'stub', 'b', 'fa') along with the probabilities for each class. It's designed for Wikipedia editors or researchers who need to categorize articles efficiently.

Wikipedia editing content assessment article quality encyclopedia management text categorization

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

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

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