head to head · open source
nono vs FuzzyAI
nono has 4,821 GitHub stars, 327 forks, 201 open issues and last shipped 2 days ago. FuzzyAI has 1,601 stars, 219 forks, 7 open issues and last shipped 9 months ago. nono leads on adoption by 201% (4,821 vs 1,601 stars). nono is written in Rust under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. nono has attracted 7% as many forks as stars, FuzzyAI 14%. nono was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llm-security, 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.
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Side by side
| nono | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 4.8K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Rust | Jupyter Notebook |
| Last push | 2026-11-03 | 2026-02-06 |
| Forks | ⑂ 327 | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick nono if
- You weight community size — 4.8K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Rust
- 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 nono
Built by the team that brought you Sigstore The standard for secure software attestation, used by PyPI, npm, brew, and Maven Central [!NOTE] In the lead up to a 1.0 release, APIs are stabilizing. API changes may still occur where necessary, but will be kept to a minimum. [!IMPORTANT] Organization migration: The official nono registry namespace has moved from always further to nolabs ai . Update any references in your scripts, profiles, and CI. If you already have a pack installed under the old namespace, remove it first before pulling from the new one: The old namespace will be retired — migrate now. Run AI…
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 nono or FuzzyAI more popular?
nono has 4,821 GitHub stars and FuzzyAI has 1,601. nono has the larger community by that measure.
Are nono and FuzzyAI free?
Both are open source. nono is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between nono and FuzzyAI?
nono is written in Rust 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, nono or FuzzyAI?
Choose nono if you want the larger community (4,821 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.