head to head · open source
code-review-graph vs ai-review
code-review-graph has 31,557 GitHub stars, 2,870 forks, 163 open issues and last shipped yesterday. ai-review has 575 stars, 94 forks, 11 open issues and last shipped 22 days ago. code-review-graph leads on adoption by 5,388% (31,557 vs 575 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 16%. 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.
← all 8884 open source comparisons
Side by side
| code-review-graph | ai-review | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 575 |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-08-27 |
| Forks | ⑂ 2.9K | ⑂ 94 |
| 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 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 is a local first code intelligence graph for MCP and the command line that parses a repository with Tree sitter into a persistent map of functions, classes, imports, calls, inheritance and test coverage, so AI coding assistants read only the files a review actually needs; it is aimed at developers and teams running AI coding tools against large repositories where repeated full codebase reads waste tokens.
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 powere…
read the full ai-review overview →
More in Developer Tools
Related comparisons
More Version Control & Collaboration projects
Compare either of these against the rest of the Version Control & Collaboration field.
Frequently asked questions
Is code-review-graph or ai-review more popular?
code-review-graph has 31,557 GitHub stars and ai-review has 575. 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 (31,557 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.