head to head · open source

strix vs stride-gpt

strix has 63,281 GitHub stars, 6,903 forks, 383 open issues and last shipped yesterday. stride-gpt has 1,124 stars, 326 forks, 12 open issues and last shipped 3 days ago. strix leads on adoption by 5,530% (63,281 vs 1,124 stars). strix is written in Python under Apache-2.0; stride-gpt is written in Python under MIT. strix has attracted 11% as many forks as stars, stride-gpt 29%. strix 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.

strix ★ 63K stride-gpt ★ 1.1K category AI & Machine Learning

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Side by side

strix stride-gpt
GitHub stars ★ 63K ★ 1.1K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-17 2026-09-15
Forks ⑂ 6.9K ⑂ 326
Self-hosting Yes Yes
Data ownership Your server Your server

pick strix if

  • You weight community size — 63K 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 strix profile →

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

full stride-gpt profile →

About strix

Strix is an open source AI penetration testing tool that deploys autonomous AI agents against a running codebase to find, validate, and fix application vulnerabilities, built for developers and security teams who want dynamic security testing without the cost and scheduling overhead of manual pentesting.

read the full strix 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 →

More in AI & Machine Learning

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More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

strix vs shannon strix vs SkillSpector strix vs iFixAi strix vs codex-security strix vs garak strix vs AI-Infra-Guard strix vs giskard-oss strix vs Agentic-Bug-Hunter strix vs nono strix vs CyberStrike strix vs AiSOC strix vs pentest-ai-agents

Frequently asked questions

Is strix or stride-gpt more popular?

strix has 63,281 GitHub stars and stride-gpt has 1,124. strix has the larger community by that measure.

Are strix and stride-gpt free?

Both are open source. strix is licensed under Apache-2.0 and stride-gpt under MIT. Neither carries a licence fee.

What is the difference between strix and stride-gpt?

strix is written in Python 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, strix or stride-gpt?

Choose strix if you want the larger community (63,281 stars) or its Apache-2.0 licence terms. Choose stride-gpt if its feature set, stack or MIT licence fits better. Both are self-hostable.