head to head · open source
code-review-graph vs autoprompt-skill
code-review-graph has 31,548 GitHub stars, 2,870 forks, 163 open issues and last shipped yesterday. autoprompt-skill has 1,169 stars, 73 forks, 1 open issues and last shipped yesterday. code-review-graph leads on adoption by 2,599% (31,548 vs 1,169 stars). code-review-graph is written in Python under MIT; autoprompt-skill is written in JavaScript under MIT. code-review-graph has attracted 9% as many forks as stars, autoprompt-skill 6%. autoprompt-skill was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-coding, claude-code, code-review), 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 | autoprompt-skill | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 1.2K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 2.9K | ⑂ 73 |
| 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 autoprompt-skill if
- You want the autoprompt-skill feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and autoprompt-skill 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 autoprompt-skill
Autoprompt is an MIT licensed coding agent skill for developers and teams working in agentic coding environments who want fewer failed runs, adding a review, fix, and recheck workflow to supported coding agents such as Claude Code, Codex, and OpenCode.
read the full autoprompt-skill overview →
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Frequently asked questions
Is code-review-graph or autoprompt-skill more popular?
code-review-graph has 31,548 GitHub stars and autoprompt-skill has 1,169. code-review-graph has the larger community by that measure.
Are code-review-graph and autoprompt-skill free?
Both are open source. code-review-graph is licensed under MIT and autoprompt-skill under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and autoprompt-skill?
code-review-graph is written in Python and autoprompt-skill in JavaScript. 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 autoprompt-skill?
Choose code-review-graph if you want the larger community (31,548 stars) or its MIT licence terms. Choose autoprompt-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.