cyberark/FuzzyAI

Evaluation & Testing

A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.

GitHub →

5.4

GitHub Metrics

Stars

1.5k

Forks

212

Open Issues

Watchers

Contributors

Weekly Commits

Language

Jupyter Notebook

License

Apache-2.0

Last Commit

Feb 6, 2026

Created

Dec 3, 2024

Latest Release

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Release Date

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Synced: Jul 18, 2026

Quality Scores

Documentation Qualityw: 20%

4.8

No dedicated docs site. Description: 163 chars. Stars signal: 1,530. Contributors: 13. Score: 4.8/10

Community Healthw: 20%

5.7

Stars: 1,530. Contributors: 13. Watchers: 21. Forks: 212. Issue ratio: 0.4%. Score: 5.7/10

Maintenance Velocityw: 15%

3.6

Last commit: 162d ago. Weekly commits: 0. No releases published. Maturity bonus: 1.6y old. Score: 3.6/10

API Design & DXw: 20%

7.1

Stars/issues ratio: 255. No dedicated API docs. Permissive license: Apache-2.0. Popularity signal: 1,530 stars. Score: 7.1/10

Production Readinessw: 15%

4.4

Battle-tested: 1,530 stars. Peer review: 13 contributors. No versioned releases. Licensed: Apache-2.0. Age: 1.6 years. Maintenance: last commit 162d ago. Score: 4.4/10

Ecosystem Integrationw: 10%

6.7

Fork interest: 212. Ecosystem: Jupyter Notebook. Integration-friendly: Apache-2.0. Adoption: 1,530 stars. Score: 6.7/10