head to head · open source
code-review-graph vs superpowers-zh
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. superpowers-zh has 8,445 stars, 781 forks, 12 open issues and last shipped 8 days ago. code-review-graph leads on adoption by 286% (32,563 vs 8,445 stars). code-review-graph is written in Python under MIT; superpowers-zh is written in JavaScript under MIT. code-review-graph has attracted 9% as many forks as stars, superpowers-zh 9%. code-review-graph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-coding, claude-code, code-review, mcp), 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 | superpowers-zh | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 8.4K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-10-29 | 2026-10-26 |
| Forks | ⑂ 3.0K | ⑂ 781 |
| 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 superpowers-zh if
- You want the superpowers-zh feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and superpowers-zh 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 superpowers-zh
superpowers zh（AI 编程超能力 · 中文增强版） 🌐 简体中文 繁體中文 English (upstream) 🦸 superpowers（250k+ ⭐）完整汉化 + 4 个中国原创 skills — 让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI / Qoder 等 26 款 AI 编程工具 真正会干活。从头脑风暴到代码审查，从 TDD 到调试，每个 skill 都是经过实战验证的工作方法论。 Chinese community edition of superpowers — 20 skills across 26 AI coding tools, including full translations and China specific development skills. 📖 免费配套学习 → 从零学会 AI 编程（182 节）＋ 从零构建 AI 智能体（40 节）：两门免费实操课 + 实战社区，superpowers 装好后配上方法论效率翻倍（站上共 13 门课、648 节， 全部 ¥0 ——另有 AI 绘画 / 写小说 / 漫剧 / 量化 / DeepSeek / 深度专注 等） 🌍 Also available in English · 日本語 ·…
read the full superpowers-zh overview →
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Frequently asked questions
Is code-review-graph or superpowers-zh more popular?
code-review-graph has 32,563 GitHub stars and superpowers-zh has 8,445. code-review-graph has the larger community by that measure.
Are code-review-graph and superpowers-zh free?
Both are open source. code-review-graph is licensed under MIT and superpowers-zh under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and superpowers-zh?
code-review-graph is written in Python and superpowers-zh 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 superpowers-zh?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose superpowers-zh if its feature set, stack or MIT licence fits better. Both are self-hostable.