head to head · open source
garak vs FuzzyAI
garak has 9,850 GitHub stars, 1,439 forks, 429 open issues and last shipped 3 days ago. FuzzyAI has 1,601 stars, 219 forks, 7 open issues and last shipped 9 months ago. garak leads on adoption by 515% (9,850 vs 1,601 stars). garak is written in Python under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. garak has attracted 15% as many forks as stars, FuzzyAI 14%. garak was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, llm-evaluation, llm-security), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| garak | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 9.8K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-02-06 |
| Forks | ⑂ 1.4K | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick garak if
- You weight community size — 9.8K 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 garak
garak, LLM vulnerability scanner Generative AI Red teaming & Assessment Kit garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. If you know nmap or msf / Metasploit Framework, garak does somewhat similar things to them, but for LLMs. garak focuses on ways of making an LLM or dialog system fail. It combines static, dynamic, and adaptive probes to explore this. garak 's a free tool. We love developing it and are always interested in adding functionality to…
read the full garak 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 →
More in AI & Machine Learning
Related comparisons
More AI Security & Privacy projects
Compare either of these against the rest of the AI Security & Privacy field.
Frequently asked questions
Is garak or FuzzyAI more popular?
garak has 9,850 GitHub stars and FuzzyAI has 1,601. garak has the larger community by that measure.
Are garak and FuzzyAI free?
Both are open source. garak is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between garak and FuzzyAI?
garak 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, garak or FuzzyAI?
Choose garak if you want the larger community (9,850 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.