head to head · open source

giskard-oss vs pentest-ai-agents

giskard-oss has 5,943 GitHub stars, 560 forks, 64 open issues and last shipped 3 days ago. pentest-ai-agents has 2,408 stars, 457 forks, 1 open issues and last shipped 1 months ago. giskard-oss leads on adoption by 147% (5,943 vs 2,408 stars). giskard-oss is written in Python under Apache-2.0; pentest-ai-agents is written in Shell under MIT. giskard-oss has attracted 9% as many forks as stars, pentest-ai-agents 19%. giskard-oss 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-agents ★ 2.4K category AI & Machine Learning

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Side by side

giskard-oss pentest-ai-agents
GitHub stars ★ 5.9K ★ 2.4K
License Apache-2.0 MIT
Written in Python Shell
Last push 2026-11-02 2026-10-06
Forks ⑂ 560 ⑂ 457
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-agents if

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

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 Giskard v2 remains available but is no longer actively maintained.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

pentest ai agents 50 Claude Code subagents for penetration testing. Quick Start Cheatsheet Coverage Agents Examples Table of Contents What's New in v3.3 What's New in v3.2 Agent Map What's New in v3.1 Quick Start Cheatsheet Coverage Agents Tier 1 vs Tier 2 Examples Running Tools in a Container Findings Database Token Optimization Local Models Documentation MCP Server Prerequisites Legal License pentest ai agents is a collection of 50 Claude Code subagents that turn Claude into an offensive security research assistant. Each agent carries deep domain knowledge in a specific area: recon, web, Active Directory…

read the full pentest-ai-agents overview →

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Frequently asked questions

Is giskard-oss or pentest-ai-agents more popular?

giskard-oss has 5,943 GitHub stars and pentest-ai-agents has 2,408. giskard-oss has the larger community by that measure.

Are giskard-oss and pentest-ai-agents free?

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

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

giskard-oss is written in Python and pentest-ai-agents in Shell. 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-agents?

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