head to head · open source
garak vs PyRIT
garak has 9,834 GitHub stars, 1,436 forks, 429 open issues and last shipped yesterday. PyRIT has 4,731 stars, 1,012 forks, 281 open issues and last shipped today. garak leads on adoption by 108% (9,834 vs 4,731 stars). garak is written in Python under Apache-2.0; PyRIT is written in Python under MIT. garak has attracted 15% as many forks as stars, PyRIT 21%. PyRIT 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
| garak | PyRIT | |
|---|---|---|
| GitHub stars | ★ 9.8K | ★ 4.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-03 |
| Forks | ⑂ 1.4K | ⑂ 1.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick garak if
- You weight community size — 9.8K 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 PyRIT if
- You want the PyRIT feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and PyRIT fits your workflow better
About garak
garak, LLM vulnerability scanner Generative AI Red teaming & Assessment Kit garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. If you know nmap or msf / Metasploit Framework, garak does somewhat similar things to them, but for LLMs. garak focuses on ways of making an LLM or dialog system fail. It combines static, dynamic, and adaptive probes to explore this. garak 's a free tool. We love developing it and are always interested in adding functionality to…
read the full garak overview →
About PyRIT
Python Risk Identification Tool for generative AI (PyRIT) The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems. Check out our website for more information about how to use, install, or contribute to PyRIT. Review our security policy to report vulnerabilities privately through the Microsoft Security Response Center. Visit our Discord server to chat with the team and community. Trademarks and Citations This project may contain trademarks or logos for projects, products…
read the full PyRIT overview →
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Frequently asked questions
Is garak or PyRIT more popular?
garak has 9,834 GitHub stars and PyRIT has 4,731. garak has the larger community by that measure.
Are garak and PyRIT free?
Both are open source. garak is licensed under Apache-2.0 and PyRIT under MIT. Neither carries a licence fee.
What is the difference between garak and PyRIT?
garak is written in Python and PyRIT in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, garak or PyRIT?
Choose garak if you want the larger community (9,834 stars) or its Apache-2.0 licence terms. Choose PyRIT if its feature set, stack or MIT licence fits better. Both are self-hostable.