head to head · open source
open-code-review vs code-review-graph
open-code-review has 49,287 GitHub stars, 3,614 forks, 160 open issues and last shipped yesterday. code-review-graph has 32,563 stars, 2,964 forks, 163 open issues and last shipped 5 days ago. open-code-review leads on adoption by 51% (49,287 vs 32,563 stars). open-code-review is written in Go under Apache-2.0; code-review-graph is written in Python under MIT. open-code-review has attracted 7% as many forks as stars, code-review-graph 9%. open-code-review was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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
| open-code-review | code-review-graph | |
|---|---|---|
| GitHub stars | ★ 49K | ★ 33K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-10-29 |
| Forks | ⑂ 3.6K | ⑂ 3.0K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick open-code-review if
- You weight community size — 49K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick code-review-graph if
- You want the code-review-graph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and code-review-graph fits your workflow better
About open-code-review
OpenCodeReview English 简体中文 日本語 한국어 Русский What is Open Code Review? Open Code Review is an AI powered code review CLI tool. It originated as Alibaba Group's internal official AI code review assistant — over the past two years, it has served tens of thousands of developers and identified millions of code defects. After thorough validation at massive scale, we incubated it into an open source project for the community. Simply configure a model endpoint to get started. It reads Git diffs, sends changed files to a configurable LLM via an agent with tool use capabilities, and generates structured review comments…
read the full open-code-review overview →
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 →
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Frequently asked questions
Is open-code-review or code-review-graph more popular?
open-code-review has 49,287 GitHub stars and code-review-graph has 32,563. open-code-review has the larger community by that measure.
Are open-code-review and code-review-graph free?
Both are open source. open-code-review is licensed under Apache-2.0 and code-review-graph under MIT. Neither carries a licence fee.
What is the difference between open-code-review and code-review-graph?
open-code-review is written in Go and code-review-graph 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, open-code-review or code-review-graph?
Choose open-code-review if you want the larger community (49,287 stars) or its Apache-2.0 licence terms. Choose code-review-graph if its feature set, stack or MIT licence fits better. Both are self-hostable.