head to head · open source
giskard-oss vs pentest-ai-agents
giskard-oss has 5,830 GitHub stars, 537 forks, 64 open issues and last shipped 2 days ago. pentest-ai-agents has 2,248 stars, 429 forks, 1 open issues and last shipped 1 months ago. giskard-oss leads on adoption by 159% (5,830 vs 2,248 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.
← all 20902 open source comparisons
Side by side
| giskard-oss | pentest-ai-agents | |
|---|---|---|
| GitHub stars | ★ 5.8K | ★ 2.2K |
| License | Apache-2.0 | MIT |
| Written in | Python | Shell |
| Last push | 2026-09-18 | 2026-08-16 |
| Forks | ⑂ 537 | ⑂ 429 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick giskard-oss if
- You weight community size — 5.8K 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 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
About giskard-oss
Giskard OSS is an open source Python library for evaluating, red teaming and testing LLM agents and RAG pipelines, built for developers, ML engineers and AI security teams that need reproducible checks on non deterministic systems.
read the full giskard-oss overview →
About pentest-ai-agents
pentest ai agents: 50 Claude Code subagents for authorized offensive security research. Lives in Claude Code ecosystem. Agents carry domain knowledge for recon, web, Active Directory, cloud, mobile, wireless, social engineering, payload crafting, reverse engineering, exploit chaining, detection engineering, forensics.
read the full pentest-ai-agents overview →
More in AI & Machine Learning
Related comparisons
More AI Security & Privacy projects
Compare either of these against the rest of the AI Security & Privacy field.
Frequently asked questions
Is giskard-oss or pentest-ai-agents more popular?
giskard-oss has 5,830 GitHub stars and pentest-ai-agents has 2,248. 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 (5,830 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.