head to head · open source

giskard-oss vs pentest-ai

giskard-oss has 5,943 GitHub stars, 560 forks, 64 open issues and last shipped 3 days ago. pentest-ai has 1,799 stars, 329 forks, 2 open issues and last shipped 2 days ago. giskard-oss leads on adoption by 230% (5,943 vs 1,799 stars). giskard-oss is written in Python under Apache-2.0; pentest-ai is written in Python under MIT. giskard-oss has attracted 9% as many forks as stars, pentest-ai 18%. pentest-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

giskard-oss ★ 5.9K pentest-ai ★ 1.8K category AI & Machine Learning

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Side by side

giskard-oss pentest-ai
GitHub stars ★ 5.9K ★ 1.8K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-11-02 2026-11-03
Forks ⑂ 560 ⑂ 329
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

full giskard-oss profile →

pick pentest-ai if

  • You want the pentest-ai feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and pentest-ai fits your workflow better

full pentest-ai profile →

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 Giskard v2 remains available but is no longer actively maintained.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 pentest-ai

Website · Quick start · Verification · Documentation · Issues Pentest AI connects an AI client or model to a penetration testing workflow. It investigates applications, records findings, and uses machine oracles to check whether an exploit can be reproduced . Verified findings carry evidence you can replay. Use it through MCP , from the CLI , or in CI . The model helps drive the investigation; an oracle determines whether a finding earns a verified verdict. Test only systems you own or have explicit authorization to assess. Read the acceptable use policy and terms before running an engagement. Quick start…

read the full pentest-ai overview →

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Frequently asked questions

Is giskard-oss or pentest-ai more popular?

giskard-oss has 5,943 GitHub stars and pentest-ai has 1,799. giskard-oss has the larger community by that measure.

Are giskard-oss and pentest-ai free?

Both are open source. giskard-oss is licensed under Apache-2.0 and pentest-ai under MIT. Neither carries a licence fee.

What is the difference between giskard-oss and pentest-ai?

giskard-oss is written in Python and pentest-ai 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 pentest-ai?

Choose giskard-oss if you want the larger community (5,943 stars) or its Apache-2.0 licence terms. Choose pentest-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.