head to head · open source

beelzebub vs code-on-incus

beelzebub has 2,180 GitHub stars, 209 forks, 5 open issues and last shipped 6 days ago. code-on-incus has 726 stars, 63 forks, 24 open issues and last shipped yesterday. beelzebub leads on adoption by 200% (2,180 vs 726 stars). beelzebub is written in Go under GPL-3.0; code-on-incus is written in Go under MIT. beelzebub has attracted 10% 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.

beelzebub ★ 2.2K code-on-incus ★ 726 category AI & Machine Learning

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Side by side

beelzebub code-on-incus
GitHub stars ★ 2.2K ★ 726
License GPL-3.0 MIT
Written in Go Go
Last push 2026-09-14 2026-09-19
Forks ⑂ 209 ⑂ 63
Self-hosting Yes Yes
Data ownership Your server Your server

pick beelzebub if

  • You weight community size — 2.2K stars and counting
  • You want the GPL-3.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full beelzebub profile →

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

full code-on-incus profile →

About beelzebub

Beelzebub is an open source deception runtime framework written in Go and released under GPL 3.0. It operates in the cybersecurity and AI security ecosystem, where teams need controlled systems that attract and record activity aimed at decoy services. The project is a configurable runtime for honeypots, decoys, and agent facing bait tools, with documentation at docs.beelzebub.ai.

read the full beelzebub overview →

About code-on-incus

code on incus (coi) is an MIT licensed Go tool that runs AI coding agents such as Claude Code, Codex, opencode, pi, and omp inside their own isolated Incus system containers — full Linux machines with root, systemd, and Docker — and adds kernel level active defense that pauses or kills the container when it detects dangerous behavior, for developers who need real machine access without exposing the host or their credentials.

read the full code-on-incus overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Security & Privacy projects

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

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

Frequently asked questions

Is beelzebub or code-on-incus more popular?

beelzebub has 2,180 GitHub stars and code-on-incus has 726. beelzebub has the larger community by that measure.

Are beelzebub and code-on-incus free?

Both are open source. beelzebub is licensed under GPL-3.0 and code-on-incus under MIT. Neither carries a licence fee.

What is the difference between beelzebub and code-on-incus?

beelzebub is written in Go 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, beelzebub or code-on-incus?

Choose beelzebub if you want the larger community (2,180 stars) or its GPL-3.0 licence terms. Choose code-on-incus if its feature set, stack or MIT licence fits better. Both are self-hostable.