head to head · open source

strix vs Dark-Moon

strix has 64,068 GitHub stars, 7,001 forks, 383 open issues and last shipped 2 days ago. Dark-Moon has 957 stars, 159 forks, 3 open issues and last shipped yesterday. strix leads on adoption by 6,595% (64,068 vs 957 stars). strix is written in Python under Apache-2.0; Dark-Moon is written in Python under GPL-3.0. strix has attracted 11% as many forks as stars, Dark-Moon 17%. Dark-Moon was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-penetration-testing, 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.

strix ★ 64K Dark-Moon ★ 957 category AI & Machine Learning

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Side by side

strix Dark-Moon
GitHub stars ★ 64K ★ 957
License Apache-2.0 GPL-3.0
Written in Python Python
Last push 2026-09-20 2026-09-21
Forks ⑂ 7.0K ⑂ 159
Self-hosting Yes Yes
Data ownership Your server Your server

pick strix if

  • You weight community size — 64K 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 Dark-Moon if

  • You want the Dark-Moon feature set and don't need the biggest community
  • You prefer the GPL-3.0 license terms
  • Your stack matches Python
  • You evaluated both and Dark-Moon fits your workflow better

full Dark-Moon 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 Dark-Moon

DarkMoon is a self hosted, GPL 3.0 autonomous AI penetration testing platform for security teams, red teams and AI security engineers who point it at infrastructure they are authorised to test and let a local or cloud model run the whole assessment unattended, returning a working exploit as proof for every finding.

read the full Dark-Moon 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 Dark-Moon more popular?

strix has 64,068 GitHub stars and Dark-Moon has 957. strix has the larger community by that measure.

Are strix and Dark-Moon free?

Both are open source. strix is licensed under Apache-2.0 and Dark-Moon under GPL-3.0. Neither carries a licence fee.

What is the difference between strix and Dark-Moon?

strix is written in Python and Dark-Moon 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 Dark-Moon?

Choose strix if you want the larger community (64,068 stars) or its Apache-2.0 licence terms. Choose Dark-Moon if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.