head to head · open source
shannon vs giskard-oss
shannon has 50,964 GitHub stars, 5,926 forks, 18 open issues and last shipped 7 days ago. giskard-oss has 5,940 stars, 560 forks, 64 open issues and last shipped yesterday. shannon leads on adoption by 758% (50,964 vs 5,940 stars). shannon is written in TypeScript under AGPL-3.0; giskard-oss is written in Python under Apache-2.0. shannon has attracted 12% as many forks as stars, giskard-oss 9%. 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
| shannon | giskard-oss | |
|---|---|---|
| GitHub stars | ★ 51K | ★ 5.9K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-10-27 | 2026-11-02 |
| Forks | ⑂ 5.9K | ⑂ 560 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick shannon if
- You weight community size — 51K stars and counting
- You want the AGPL-3.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick giskard-oss if
- You want the giskard-oss feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and giskard-oss fits your workflow better
About shannon
[!NOTE] Shannon 3.0 is live: deeper security code analysis, more thoroughly vetted findings, a rebuilt CLI, native CI/CD, professional PDF reports, and SARIF. Shannon is an autonomous, AI pentester for web applications and APIs. It analyzes your source code, identifies attack paths, and executes real exploits to prove vulnerabilities before they reach production. No exploit, no report. This repository is Shannon Open Source: the full agent, run locally from your command line. Launch Shannon The interactive launcher will guide you through setup and your first pentest. [!TIP] AI agents and LLMs: start with…
read the full shannon overview →
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 →
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 shannon or giskard-oss more popular?
shannon has 50,964 GitHub stars and giskard-oss has 5,940. shannon has the larger community by that measure.
Are shannon and giskard-oss free?
Both are open source. shannon is licensed under AGPL-3.0 and giskard-oss under Apache-2.0. Neither carries a licence fee.
What is the difference between shannon and giskard-oss?
shannon is written in TypeScript and giskard-oss 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, shannon or giskard-oss?
Choose shannon if you want the larger community (50,964 stars) or its AGPL-3.0 licence terms. Choose giskard-oss if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.