head to head · open source
code-review-graph vs twinny
code-review-graph has 32,629 GitHub stars, 2,967 forks, 163 open issues and last shipped 2 days ago. twinny has 3,692 stars, 240 forks, 48 open issues and last shipped 5 days ago. code-review-graph leads on adoption by 784% (32,629 vs 3,692 stars). code-review-graph is written in Python under MIT; twinny is written in TypeScript under MIT. code-review-graph has attracted 9% as many forks as stars, twinny 7%. 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 | twinny | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 3.7K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-11-06 | 2026-11-03 |
| Forks | ⑂ 3.0K | ⑂ 240 |
| 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 twinny if
- You want the twinny feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and twinny 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 twinny
twinny The AI coding assistant for Visual Studio Code that stays inside your network. Code completion, inline edits, chat, code review and more, on a model server you choose: on your machine, on another of your devices, on a hosted API, or on one gateway your whole team shares. Free, open source, MIT licensed, no telemetry, no sign in. Install from the Marketplace · Documentation · What's new · Changelog · Teams · 中文 · Português (BR) For teams: one gateway on your network serves every developer's VS Code, with a key per person, usage, policy and an admin page. npx twinny server quickstart sets it up. Free for…
read the full twinny overview →
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Frequently asked questions
Is code-review-graph or twinny more popular?
code-review-graph has 32,629 GitHub stars and twinny has 3,692. code-review-graph has the larger community by that measure.
Are code-review-graph and twinny free?
Both are open source. code-review-graph is licensed under MIT and twinny under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and twinny?
code-review-graph is written in Python and twinny in TypeScript. 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 twinny?
Choose code-review-graph if you want the larger community (32,629 stars) or its MIT licence terms. Choose twinny if its feature set, stack or MIT licence fits better. Both are self-hostable.