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Stars gained: From Apr 26, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 4, 2026, each from zero050Apr 26Nov 4, 2026VectorInstitute/cyclopsdeepchecks/deepchecks
Stars: The star count at the end of each dayStarsThe star count at the end of each day02K4KApr 26Nov 4, 2026VectorInstitute/cyclopsdeepchecks/deepchecks

Facts

FactVectorInstitute/cyclops

A toolkit for evaluating and monitoring AI models in clinical settings

deepchecks/deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Stars974,068
Net stars, last 30 days+1+8
Largest star day+1 on May 2, 2026+4 on Aug 13, 2026
Milestone reached in the recordNoneNone
Forks19301
LanguagePythonPython
LicenseOther licenseOther license
CreatedFeb 21, 2022Oct 11, 2021
Last pushOct 20, 2026Dec 28, 2025
ArchivedYesNo
Health facts: Maintenance1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases2 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: model-monitoring, data-drift, machine-learning, deep-learning. 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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