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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero020K40KApr 26Nov 3, 2026PathologyFoundation/plipusestrix/strix
Stars: The star count at the end of each dayStarsThe star count at the end of each day050KApr 25Nov 3, 2026PathologyFoundation/plipusestrix/strix

Facts

FactPathologyFoundation/plip

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

usestrix/strix

Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.

Stars38273,593
Net stars, last 30 days+2+7,371
Largest star day+2 on Jun 16, 2026+2,597 on Jul 2, 2026
Milestone reached in the recordNone50,000 on Aug 10, 2026
Forks388,280
LanguagePythonPython
LicenseNo licenseAPACHE-2.0
CreatedFeb 15, 2023Aug 5, 2025
Last pushSep 20, 2023Nov 3, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases0 of 3 checks (2 without data)2 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check
Health facts: Community files0 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeksNo data296
Weeks with commits, last 52No data48 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: artificial-intelligence. 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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