head to head · open source
iFixAi vs FuzzyAI
iFixAi has 43,018 GitHub stars, 1,780 forks, 2 open issues and last shipped yesterday. FuzzyAI has 1,597 stars, 219 forks, 7 open issues and last shipped 9 months ago. iFixAi leads on adoption by 2,594% (43,018 vs 1,597 stars). iFixAi is written in Python under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. iFixAi has attracted 4% as many forks as stars, FuzzyAI 14%. iFixAi was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, llm-evaluation), 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
| iFixAi | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 43K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-02-06 |
| Forks | ⑂ 1.8K | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick iFixAi if
- You weight community size — 43K 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 iFixAi
iFixAi English · 简体中文 · 日本語 · 한국어 Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan. Quick start • Three ways to run • Test your agent • Scoring • Docs • Contributing One ifixai run , end to end: guided setup picks the system, judge, and suite; the run verifies the connection and saves your config; 32 inspections execute across five pillars; and the result lands as an A–F grade with a scored core pillar scorecard. What it is The existing Eval, Red teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency…
read the full iFixAi 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 iFixAi or FuzzyAI more popular?
iFixAi has 43,018 GitHub stars and FuzzyAI has 1,597. iFixAi has the larger community by that measure.
Are iFixAi and FuzzyAI free?
Both are open source. iFixAi is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between iFixAi and FuzzyAI?
iFixAi 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, iFixAi or FuzzyAI?
Choose iFixAi if you want the larger community (43,018 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.