head to head · open source
code-review-graph vs plannotator
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. plannotator has 9,825 stars, 735 forks, 155 open issues and last shipped yesterday. code-review-graph leads on adoption by 231% (32,563 vs 9,825 stars). code-review-graph is written in Python under MIT; plannotator is written in TypeScript under Apache-2.0. code-review-graph has attracted 9% as many forks as stars, plannotator 7%. plannotator was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (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 | plannotator | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 9.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-10-29 | 2026-11-02 |
| Forks | ⑂ 3.0K | ⑂ 735 |
| 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 plannotator if
- You want the plannotator feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and plannotator 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 plannotator
Everything you need to annotate and stay in the loop with your agents Markdown Review • Code Review • HTML Artifacts Annotate plans, specs, markdown, and HTML before implementation. Review diffs and PRs. Send feedback to your agent. Watch the og demo · Installation guide · Official site · Visual HTML Skills · Herdr Annotate Plannotator Plannotator is a local, browser based review surface for AI coding agents: Claude Code, Codex, Copilot CLI, Gemini CLI, OpenCode, Kiro, Droid, Amp, and Pi. It plugs directly into your agent through its hooks and commands. When the agent proposes a plan, html, or finishes writing…
read the full plannotator overview →
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Frequently asked questions
Is code-review-graph or plannotator more popular?
code-review-graph has 32,563 GitHub stars and plannotator has 9,825. code-review-graph has the larger community by that measure.
Are code-review-graph and plannotator free?
Both are open source. code-review-graph is licensed under MIT and plannotator under Apache-2.0. Neither carries a licence fee.
What is the difference between code-review-graph and plannotator?
code-review-graph is written in Python and plannotator 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 plannotator?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose plannotator if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.