head to head · open source
graphify vs code-review-graph
graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. code-review-graph has 31,557 stars, 2,870 forks, 163 open issues and last shipped yesterday. graphify leads on adoption by 277% (119,123 vs 31,557 stars). graphify is written in Python under Apache-2.0; code-review-graph is written in Python under MIT. graphify has attracted 10% as many forks as stars, code-review-graph 9%. code-review-graph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (claude-code, graphrag, knowledge-graph), 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
| graphify | code-review-graph | |
|---|---|---|
| GitHub stars | ★ 119K | ★ 32K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-09-16 | 2026-09-17 |
| Forks | ⑂ 12K | ⑂ 2.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick graphify if
- You weight community size — 119K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- 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 graphify
graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.
read the full graphify 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 graphify or code-review-graph more popular?
graphify has 119,123 GitHub stars and code-review-graph has 31,557. graphify has the larger community by that measure.
Are graphify and code-review-graph free?
Both are open source. graphify is licensed under Apache-2.0 and code-review-graph under MIT. Neither carries a licence fee.
What is the difference between graphify and code-review-graph?
graphify is written in Python 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, graphify or code-review-graph?
Choose graphify if you want the larger community (119,123 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.