head to head · open source
code-review-graph vs sno-station-skills
code-review-graph has 32,317 GitHub stars, 2,953 forks, 163 open issues and last shipped 7 days ago. sno-station-skills has 560 stars, 382 forks, 0 open issues and last shipped 3 days ago. code-review-graph leads on adoption by 5,671% (32,317 vs 560 stars). code-review-graph is written in Python under MIT; sno-station-skills is written in Shell under Apache-2.0. code-review-graph has attracted 9% as many forks as stars, sno-station-skills 68%. sno-station-skills was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (claude-code, 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 | sno-station-skills | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 560 |
| License | MIT | Apache-2.0 |
| Written in | Python | Shell |
| Last push | 2026-10-16 | 2026-10-20 |
| Forks | ⑂ 3.0K | ⑂ 382 |
| 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 sno-station-skills if
- You want the sno-station-skills feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Shell
- You evaluated both and sno-station-skills 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 sno-station-skills
Sno Station Skills — The working habits of a real team, installed into your AI agents. One AI agent is a brilliant new hire with no colleagues. It reviews its own work, so it misses what it cannot see. It stops dead when its quota runs out, at 3 a.m., halfway through your build. It says "done" when the tests are green and nothing actually happened. It builds three layers of machinery you never asked for. And tomorrow it makes the same mistake it made today, because nobody told it otherwise. Sno Station Skills fixes the team, not the model. These are the skills Sno Station installs into the agents you already…
read the full sno-station-skills overview →
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Frequently asked questions
Is code-review-graph or sno-station-skills more popular?
code-review-graph has 32,317 GitHub stars and sno-station-skills has 560. code-review-graph has the larger community by that measure.
Are code-review-graph and sno-station-skills free?
Both are open source. code-review-graph is licensed under MIT and sno-station-skills under Apache-2.0. Neither carries a licence fee.
What is the difference between code-review-graph and sno-station-skills?
code-review-graph is written in Python and sno-station-skills in Shell. 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 sno-station-skills?
Choose code-review-graph if you want the larger community (32,317 stars) or its MIT licence terms. Choose sno-station-skills if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.