head to head · open source

shannon vs akto

shannon has 48,105 GitHub stars, 5,515 forks, 18 open issues and last shipped 10 days ago. akto has 1,516 stars, 292 forks, 347 open issues and last shipped yesterday. shannon leads on adoption by 3,073% (48,105 vs 1,516 stars). shannon is written in TypeScript under AGPL-3.0; akto is written in Java under MIT. shannon has attracted 11% as many forks as stars, akto 19%. akto was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.

shannon ★ 48K akto ★ 1.5K category AI & Machine Learning

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Side by side

shannon akto
GitHub stars ★ 48K ★ 1.5K
License AGPL-3.0 MIT
Written in TypeScript Java
Last push 2026-09-08 2026-09-17
Forks ⑂ 5.5K ⑂ 292
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

full shannon profile →

pick akto if

  • You want the akto feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Java
  • You evaluated both and akto fits your workflow better

full akto profile →

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 akto

Akto is an open source Java project under the MIT license. Its metadata presents it as an AI security platform for teams that secure AI agents, MCPs, LLMs, Agent skills, and Gen AI apps, while its README describes it as an open source API security platform. It lives in the open source API security and AI security ecosystem.

read the full akto overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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More AI Security & Privacy projects

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

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

Frequently asked questions

Is shannon or akto more popular?

shannon has 48,105 GitHub stars and akto has 1,516. shannon has the larger community by that measure.

Are shannon and akto free?

Both are open source. shannon is licensed under AGPL-3.0 and akto under MIT. Neither carries a licence fee.

What is the difference between shannon and akto?

shannon is written in TypeScript and akto in Java. 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 akto?

Choose shannon if you want the larger community (48,105 stars) or its AGPL-3.0 licence terms. Choose akto if its feature set, stack or MIT licence fits better. Both are self-hostable.