head to head · open source
shannon vs FuzzyAI
shannon has 50,964 GitHub stars, 5,926 forks, 18 open issues and last shipped 7 days ago. FuzzyAI has 1,597 stars, 219 forks, 7 open issues and last shipped 9 months ago. shannon leads on adoption by 3,091% (50,964 vs 1,597 stars). shannon is written in TypeScript under AGPL-3.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. shannon has attracted 12% as many forks as stars, FuzzyAI 14%. shannon 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
| shannon | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 51K | ★ 1.6K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | TypeScript | Jupyter Notebook |
| Last push | 2026-10-27 | 2026-02-06 |
| Forks | ⑂ 5.9K | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick shannon if
- You weight community size — 51K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches TypeScript
- 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 shannon
[!NOTE] Shannon 3.0 is live: deeper security code analysis, more thoroughly vetted findings, a rebuilt CLI, native CI/CD, professional PDF reports, and SARIF. Shannon is an autonomous, AI pentester for web applications and APIs. It analyzes your source code, identifies attack paths, and executes real exploits to prove vulnerabilities before they reach production. No exploit, no report. This repository is Shannon Open Source: the full agent, run locally from your command line. Launch Shannon The interactive launcher will guide you through setup and your first pentest. [!TIP] AI agents and LLMs: start with…
read the full shannon 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 shannon or FuzzyAI more popular?
shannon has 50,964 GitHub stars and FuzzyAI has 1,597. shannon has the larger community by that measure.
Are shannon and FuzzyAI free?
Both are open source. shannon is licensed under AGPL-3.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between shannon and FuzzyAI?
shannon is written in TypeScript 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, shannon or FuzzyAI?
Choose shannon if you want the larger community (50,964 stars) or its AGPL-3.0 licence terms. Choose FuzzyAI if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.