head to head · open source
strix vs FuzzyAI
strix has 73,259 GitHub stars, 8,252 forks, 383 open issues and last shipped 4 days ago. FuzzyAI has 1,596 stars, 219 forks, 7 open issues and last shipped 9 months ago. strix leads on adoption by 4,490% (73,259 vs 1,596 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 | ★ 73K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-10-30 | 2026-02-06 |
| Forks | ⑂ 8.3K | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick strix if
- You weight community size — 73K 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 The open source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. [!TIP] New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production Get started with no setup required. Strix Overview Strix are autonomous AI penetration testing agents that act just like real hackers they run your code dynamically, find vulnerabilities, and validate them through actual proofs of concept. Built for developers and security teams who need fast, accurate security…
read the full strix overview →
About FuzzyAI
FuzzyAI Fuzzer The FuzzyAI Fuzzer is a powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify jailbreaks and mitigate potential security vulnerabilities in their LLM APIs. Getting Started Quick start 1 Using an existing python project 1. Install fuzzyai 2. Run the fuzzer Quick start 2 or as a standalone project 1. Clone the repository: 2. Install dependencies using Poetry: 3. Run the fuzzer: 4. Optional: Install ollama, and download a model for local usage: Alternativly, you can use the Web UI Web UI (Experimental) 1. Run the Web UI (make sure you completed…
read the full FuzzyAI overview →
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Frequently asked questions
Is strix or FuzzyAI more popular?
strix has 73,259 GitHub stars and FuzzyAI has 1,596. 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 (73,259 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.