head to head · open source
giskard-oss vs FuzzyAI
giskard-oss has 5,943 GitHub stars, 560 forks, 64 open issues and last shipped 3 days ago. FuzzyAI has 1,601 stars, 219 forks, 7 open issues and last shipped 9 months ago. giskard-oss leads on adoption by 271% (5,943 vs 1,601 stars). giskard-oss is written in Python under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. giskard-oss has attracted 9% as many forks as stars, FuzzyAI 14%. giskard-oss was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-red-team, 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
| giskard-oss | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 5.9K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-02-06 |
| Forks | ⑂ 560 | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick giskard-oss if
- You weight community size — 5.9K 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 giskard-oss
Evals, Red Teaming and Test Generation for Agentic Systems Modular, Lightweight, Dynamic and Async first Docs • Website • Community [!IMPORTANT] Giskard v3 is a fresh rewrite designed for dynamic, multi turn testing of AI agents. This release drops heavy dependencies for better efficiency while introducing a more powerful AI vulnerability scanner and enhanced RAG evaluation — both now shipping natively in giskard scan , with no dependency on v2. Only the legacy scan for tabular/ML models remains v2 only. Giskard v2 remains available but is no longer actively maintained. Follow progress → Read the v3…
read the full giskard-oss 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 giskard-oss or FuzzyAI more popular?
giskard-oss has 5,943 GitHub stars and FuzzyAI has 1,601. giskard-oss has the larger community by that measure.
Are giskard-oss and FuzzyAI free?
Both are open source. giskard-oss is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between giskard-oss and FuzzyAI?
giskard-oss 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, giskard-oss or FuzzyAI?
Choose giskard-oss if you want the larger community (5,943 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.