head to head · open source
giskard-oss vs PyRIT
giskard-oss has 5,940 GitHub stars, 560 forks, 64 open issues and last shipped yesterday. PyRIT has 4,731 stars, 1,012 forks, 281 open issues and last shipped today. giskard-oss leads on adoption by 26% (5,940 vs 4,731 stars). giskard-oss is written in Python under Apache-2.0; PyRIT is written in Python under MIT. giskard-oss has attracted 9% 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. The two share 2 topic tags (ai-red-team, ai-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 | PyRIT | |
|---|---|---|
| GitHub stars | ★ 5.9K | ★ 4.7K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-03 |
| Forks | ⑂ 560 | ⑂ 1.0K |
| 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 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 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 Giskard v2 remains available but is no longer actively maintained.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 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 giskard-oss or PyRIT more popular?
giskard-oss has 5,940 GitHub stars and PyRIT has 4,731. giskard-oss has the larger community by that measure.
Are giskard-oss and PyRIT free?
Both are open source. giskard-oss is licensed under Apache-2.0 and PyRIT under MIT. Neither carries a licence fee.
What is the difference between giskard-oss and PyRIT?
giskard-oss 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, giskard-oss or PyRIT?
Choose giskard-oss if you want the larger community (5,940 stars) or its Apache-2.0 licence terms. Choose PyRIT if its feature set, stack or MIT licence fits better. Both are self-hostable.