head to head · open source
AI-Infra-Guard vs FuzzyAI
AI-Infra-Guard has 7,373 GitHub stars, 733 forks, 35 open issues and last shipped 2 days ago. FuzzyAI has 1,601 stars, 219 forks, 7 open issues and last shipped 9 months ago. AI-Infra-Guard leads on adoption by 361% (7,373 vs 1,601 stars). AI-Infra-Guard is written in Python under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. AI-Infra-Guard has attracted 10% as many forks as stars, FuzzyAI 14%. AI-Infra-Guard was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (llm, 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.
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Side by side
| AI-Infra-Guard | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 7.4K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-03 | 2026-02-06 |
| Forks | ⑂ 733 | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AI-Infra-Guard if
- You weight community size — 7.4K 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 AI-Infra-Guard
📖 Documentation 🌐 🇨🇳 中文 · 🇯🇵 日本語 · 🇪🇸 Español · 🇩🇪 Deutsch · 🇫🇷 Français · 🇰🇷 한국어 · 🇧🇷 Português · 🇷🇺 Русский 🚀 AI Red Teaming Platform by Tencent Zhuque Lab A.I.G (AI Infra Guard) integrates capabilities such as ClawScan(OpenClaw Security Scan), Agent Scan，AI infra vulnerability scan, MCP Server & Agent Skills scan, and Jailbreak Evaluation, aiming to provide users with the most comprehensive, intelligent, and user friendly solution for AI security risk self examination. We are committed to making A.I.G(AI Infra Guard) the industry leading AI red teaming platform. More stars help this project…
read the full AI-Infra-Guard 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 AI-Infra-Guard or FuzzyAI more popular?
AI-Infra-Guard has 7,373 GitHub stars and FuzzyAI has 1,601. AI-Infra-Guard has the larger community by that measure.
Are AI-Infra-Guard and FuzzyAI free?
Both are open source. AI-Infra-Guard is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between AI-Infra-Guard and FuzzyAI?
AI-Infra-Guard 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, AI-Infra-Guard or FuzzyAI?
Choose AI-Infra-Guard if you want the larger community (7,373 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.