head to head · open source
code-review-graph vs mantis
code-review-graph has 31,548 GitHub stars, 2,870 forks, 163 open issues and last shipped yesterday. mantis has 1,574 stars, 154 forks, 1 open issues and last shipped 5 days ago. code-review-graph leads on adoption by 1,904% (31,548 vs 1,574 stars). code-review-graph is written in Python under MIT; mantis is written in Python under Apache-2.0. code-review-graph has attracted 9% as many forks as stars, mantis 10%. code-review-graph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (code-review, llm), 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.
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Side by side
| code-review-graph | mantis | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 1.6K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-13 |
| Forks | ⑂ 2.9K | ⑂ 154 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick code-review-graph if
- You weight community size — 32K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick mantis if
- You want the mantis feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and mantis fits your workflow better
About code-review-graph
code review graph is a local first code intelligence graph for MCP and the command line that parses a repository with Tree sitter into a persistent map of functions, classes, imports, calls, inheritance and test coverage, so AI coding assistants read only the files a review actually needs; it is aimed at developers and teams running AI coding tools against large repositories where repeated full codebase reads waste tokens.
read the full code-review-graph overview →
About mantis
Mantis is a modular, stack agnostic toolkit of security review skills for AI coding agents, and it includes an ADK reference harness for building secure software. It lives in the developer tools, AI coding agent, and application security ecosystem, with topics such as code review, DevSecOps, multi agent systems, and hardware security. The project helps agents autonomously find, reproduce, and patch vulnerabilities while giving humans a structured way to review results.
read the full mantis overview →
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Frequently asked questions
Is code-review-graph or mantis more popular?
code-review-graph has 31,548 GitHub stars and mantis has 1,574. code-review-graph has the larger community by that measure.
Are code-review-graph and mantis free?
Both are open source. code-review-graph is licensed under MIT and mantis under Apache-2.0. Neither carries a licence fee.
What is the difference between code-review-graph and mantis?
code-review-graph is written in Python and mantis 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, code-review-graph or mantis?
Choose code-review-graph if you want the larger community (31,548 stars) or its MIT licence terms. Choose mantis if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.