head to head · open source
code-review-graph vs autoprompt-skill
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. autoprompt-skill has 1,229 stars, 68 forks, 1 open issues and last shipped 1 months ago. code-review-graph leads on adoption by 2,550% (32,563 vs 1,229 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%. code-review-graph 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 | ★ 33K | ★ 1.2K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-10-29 | 2026-10-04 |
| Forks | ⑂ 3.0K | ⑂ 68 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick code-review-graph if
- You weight community size — 33K 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 Stop burning tokens. Start reviewing smarter. English 简体中文 日本語 한국어 हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re reading large parts of your codebase on review tasks. code review graph fixes that. It builds a structural map of your code with Tree sitter, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters. Quick Start One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one…
read the full code-review-graph overview →
About autoprompt-skill
Autoprompt is a coding agent workflow that cuts failures by 45% by reviewing, fixing, and rechecking its work. English 中文 한국어 Español العربية Contents Install · Benchmarks · Invocation · Run controls · Workflow · Agents · Examples · FAQ · License Install Use the CLI below, or download an installer from GitHub Releases. 1. Install the CLI 2. Launch the installer 3. Install Choose your coding agent, confirm its path, and install. N means enter another path. For another CLI or IDE, choose Custom coding agent and use the compatibility guide. Install from source Requirements Node.js 20+ Python 3.11+ available as…
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 32,563 GitHub stars and autoprompt-skill has 1,229. 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 (32,563 stars) or its MIT licence terms. Choose autoprompt-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.