head to head · open source
shannon vs stride-gpt
shannon has 48,105 GitHub stars, 5,515 forks, 18 open issues and last shipped 10 days ago. stride-gpt has 1,124 stars, 326 forks, 12 open issues and last shipped 3 days ago. shannon leads on adoption by 4,180% (48,105 vs 1,124 stars). shannon is written in TypeScript under AGPL-3.0; stride-gpt is written in Python under MIT. shannon has attracted 11% as many forks as stars, stride-gpt 29%. stride-gpt was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-security, cybersecurity), 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
| shannon | stride-gpt | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 1.1K |
| License | AGPL-3.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-08 | 2026-09-15 |
| Forks | ⑂ 5.5K | ⑂ 326 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick shannon if
- You weight community size — 48K 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 stride-gpt if
- You want the stride-gpt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and stride-gpt fits your workflow better
About shannon
Shannon is an autonomous AI pentester for web applications and APIs that reads an application's source code, identifies attack paths, and executes real exploits so that only vulnerabilities with a working proof of concept are reported, built for AppSec, DevSecOps, and security engineering teams that ship code continuously.
read the full shannon overview →
About stride-gpt
STRIDE GPT is an MIT licensed Python threat modeling tool that uses large language models — OpenAI GPT, Anthropic Claude, Google Gemini and Mistral — to generate STRIDE threat models, attack trees, mitigations and Gherkin test cases from a description of an application, aimed at security engineers, AppSec teams and developers who need a structured threat model during design review rather than weeks after a manual workshop.
read the full stride-gpt overview →
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Frequently asked questions
Is shannon or stride-gpt more popular?
shannon has 48,105 GitHub stars and stride-gpt has 1,124. shannon has the larger community by that measure.
Are shannon and stride-gpt free?
Both are open source. shannon is licensed under AGPL-3.0 and stride-gpt under MIT. Neither carries a licence fee.
What is the difference between shannon and stride-gpt?
shannon is written in TypeScript and stride-gpt 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 stride-gpt?
Choose shannon if you want the larger community (48,105 stars) or its AGPL-3.0 licence terms. Choose stride-gpt if its feature set, stack or MIT licence fits better. Both are self-hostable.