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

207

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: Jun 29, 2026

Quality Scores

Documentation Qualityw: 20%

4.7

No dedicated docs site. Description: 163 chars. Stars signal: 1,500. Contributors: 13. Score: 4.7/10

Community Healthw: 20%

5.7

Stars: 1,500. Contributors: 13. Watchers: 21. Forks: 207. Issue ratio: 0.4%. Score: 5.7/10

Maintenance Velocityw: 15%

3.9

Last commit: 142d ago. Weekly commits: 0. No releases published. Maturity bonus: 1.6y old. Score: 3.9/10

API Design & DXw: 20%

7.1

Stars/issues ratio: 250. No dedicated API docs. Permissive license: Apache-2.0. Popularity signal: 1,500 stars. Score: 7.1/10

Production Readinessw: 15%

4.5

Battle-tested: 1,500 stars. Peer review: 13 contributors. No versioned releases. Licensed: Apache-2.0. Age: 1.6 years. Maintenance: last commit 142d ago. Score: 4.5/10

Ecosystem Integrationw: 10%

6.7

Fork interest: 207. Ecosystem: Jupyter Notebook. Integration-friendly: Apache-2.0. Adoption: 1,500 stars. Score: 6.7/10