head to head · open source
open-code-review vs code-review-graph
open-code-review has 34,427 GitHub stars, 2,452 forks, 160 open issues and last shipped yesterday. code-review-graph has 31,548 stars, 2,870 forks, 163 open issues and last shipped yesterday. open-code-review leads on adoption by 9% (34,427 vs 31,548 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 | ★ 34K | ★ 32K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 2.5K | ⑂ 2.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick open-code-review if
- You weight community size — 34K 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
Open Code Review is an Apache 2.0, Go based AI code review CLI that reads Git diffs, sends changed files to a configurable LLM through a tool using agent, and returns line level review comments, built for developers and platform teams that want large scale review automated inside infrastructure they control.
read the full open-code-review overview →
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 →
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Frequently asked questions
Is open-code-review or code-review-graph more popular?
open-code-review has 34,427 GitHub stars and code-review-graph has 31,548. 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 (34,427 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.