head to head · open source
AiSOC vs FuzzyAI
AiSOC has 6,634 GitHub stars, 678 forks, 26 open issues and last shipped yesterday. FuzzyAI has 1,597 stars, 219 forks, 7 open issues and last shipped 9 months ago. AiSOC leads on adoption by 315% (6,634 vs 1,597 stars). AiSOC is written in Python under MIT; FuzzyAI is written in Jupyter Notebook under Apache-2.0. AiSOC has attracted 10% as many forks as stars, FuzzyAI 14%. AiSOC 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
| AiSOC | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 6.6K | ★ 1.6K |
| License | MIT | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-02-06 |
| Forks | ⑂ 678 | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AiSOC if
- You weight community size — 6.6K stars and counting
- You want the MIT 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 AiSOC
AiSOC An open source, self hostable AI SOC. The agent's prompts, tool calls, and rationale are logged step by step and replayable. MIT licensed. The community maintained demo at tryaisoc.com runs on Fly.io and can go offline; see docs/operations/live demo runbook.md and use Codespaces as the always on fallback. 90 second walkthrough — agent investigates the seeded LockBit 3.0 case end to end. The rendered .mp4 + hero.gif land with the v8.0 launch; the brief is in docs/demo/SCREENCAST SHOTLIST.md . Try AiSOC in 60 seconds One command — no clone, no Docker, no keys ( npx aisoc lands on npm with the v8.0 launch…
read the full AiSOC 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 AiSOC or FuzzyAI more popular?
AiSOC has 6,634 GitHub stars and FuzzyAI has 1,597. AiSOC has the larger community by that measure.
Are AiSOC and FuzzyAI free?
Both are open source. AiSOC is licensed under MIT and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between AiSOC and FuzzyAI?
AiSOC 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, AiSOC or FuzzyAI?
Choose AiSOC if you want the larger community (6,634 stars) or its MIT licence terms. Choose FuzzyAI if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.