head to head · open source
strix vs FuzzyAI
strix has 63,281 GitHub stars, 6,903 forks, 383 open issues and last shipped yesterday. FuzzyAI has 1,574 stars, 216 forks, 7 open issues and last shipped 7 months ago. strix leads on adoption by 3,920% (63,281 vs 1,574 stars). strix is written in Python under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. strix has attracted 11% as many forks as stars, FuzzyAI 14%. strix was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| strix | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 63K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-09-17 | 2026-02-06 |
| Forks | ⑂ 6.9K | ⑂ 216 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick strix if
- You weight community size — 63K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick FuzzyAI if
- You want the FuzzyAI feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and FuzzyAI fits your workflow better
About strix
Strix is an open source AI penetration testing tool that deploys autonomous AI agents against a running codebase to find, validate, and fix application vulnerabilities, built for developers and security teams who want dynamic security testing without the cost and scheduling overhead of manual pentesting.
read the full strix overview →
About FuzzyAI
FuzzyAI is an open source fuzzer for large language model APIs. It lives in the AI security and red teaming ecosystem. It uses automated prompt mutation to test whether a model or API accepts jailbreak attempts. The project helps developers and security researchers find, evaluate, and reduce exposure to harmful or unwanted model behavior.
read the full FuzzyAI overview →
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Frequently asked questions
Is strix or FuzzyAI more popular?
strix has 63,281 GitHub stars and FuzzyAI has 1,574. strix has the larger community by that measure.
Are strix and FuzzyAI free?
Both are open source. strix is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between strix and FuzzyAI?
strix is written in Python and FuzzyAI in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, strix or FuzzyAI?
Choose strix if you want the larger community (63,281 stars) or its Apache-2.0 licence terms. Choose FuzzyAI if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.