head to head · open source
strix vs code-on-incus
strix has 73,376 GitHub stars, 8,266 forks, 383 open issues and last shipped 4 days ago. code-on-incus has 771 stars, 67 forks, 24 open issues and last shipped yesterday. strix leads on adoption by 9,417% (73,376 vs 771 stars). strix is written in Python under Apache-2.0; code-on-incus is written in Go under MIT. strix has attracted 11% as many forks as stars, code-on-incus 9%. code-on-incus was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| strix | code-on-incus | |
|---|---|---|
| GitHub stars | ★ 73K | ★ 771 |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-10-30 | 2026-11-02 |
| Forks | ⑂ 8.3K | ⑂ 67 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick strix if
- You weight community size — 73K 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 code-on-incus if
- You want the code-on-incus feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and code-on-incus fits your workflow better
About strix
Strix The open source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. [!TIP] New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production Get started with no setup required. Strix Overview Strix are autonomous AI penetration testing agents that act just like real hackers they run your code dynamically, find vulnerabilities, and validate them through actual proofs of concept. Built for developers and security teams who need fast, accurate security…
read the full strix overview →
About code-on-incus
code on incus ( coi ) Give every AI coding agent its own machine with active defense. coi runs your AI coding tool (Claude Code, Codex, opencode, pi, omp) inside its own isolated Linux system a full OS container with root access, systemd, Docker, and the freedom to install anything. The agent works like it would on a real server but it can't touch your host, can't see your credentials, and if it does something dangerous, coi pauses or kills the container on its own. One command drops you into a coding session. Your project is mounted, file permissions just work, and your SSH keys, tokens, and environment…
read the full code-on-incus overview →
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Frequently asked questions
Is strix or code-on-incus more popular?
strix has 73,376 GitHub stars and code-on-incus has 771. strix has the larger community by that measure.
Are strix and code-on-incus free?
Both are open source. strix is licensed under Apache-2.0 and code-on-incus under MIT. Neither carries a licence fee.
What is the difference between strix and code-on-incus?
strix is written in Python and code-on-incus in Go. 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 code-on-incus?
Choose strix if you want the larger community (73,376 stars) or its Apache-2.0 licence terms. Choose code-on-incus if its feature set, stack or MIT licence fits better. Both are self-hostable.