head to head · open source
code-review-graph vs ai-review
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. ai-review has 600 stars, 103 forks, 11 open issues and last shipped 1 months ago. code-review-graph leads on adoption by 5,327% (32,563 vs 600 stars). code-review-graph is written in Python under MIT; ai-review is written in Python under Apache-2.0. code-review-graph has attracted 9% as many forks as stars, ai-review 17%. 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 (claude, 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 | ai-review | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 600 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-29 | 2026-10-03 |
| Forks | ⑂ 3.0K | ⑂ 103 |
| 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 ai-review if
- You want the ai-review feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and ai-review 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 ai-review
AI Review AI powered code review tool. Made with ❤️ by @NikitaFilonov ❤️ Support AI Review If AI Review helps you reduce noise in pull requests and saves time in code reviews, consider supporting its development. Your support helps to: improve review accuracy and reduce false positives expand integrations (GitHub, GitLab, Azure DevOps, etc.) develop new features and maintain the project 👉 📑 Table of Contents ✨ About 🧪 Live Preview 🚀 Quick Start ⚙️ ️CI/CD Integration 🚀 GitHub Actions 🚀 GitLab CI/CD 📘 Documentation ⚠️ Privacy & Responsibility Notice ✨ About AI Review is a developer tool that brings AI…
read the full ai-review overview →
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Frequently asked questions
Is code-review-graph or ai-review more popular?
code-review-graph has 32,563 GitHub stars and ai-review has 600. code-review-graph has the larger community by that measure.
Are code-review-graph and ai-review free?
Both are open source. code-review-graph is licensed under MIT and ai-review under Apache-2.0. Neither carries a licence fee.
What is the difference between code-review-graph and ai-review?
code-review-graph is written in Python and ai-review in Python. 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 ai-review?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose ai-review if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.