head to head · open source
code-review-graph vs flow-next
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. flow-next has 716 stars, 62 forks, 6 open issues and last shipped yesterday. code-review-graph leads on adoption by 4,448% (32,563 vs 716 stars). code-review-graph is written in Python under MIT; flow-next is written in Python under MIT. code-review-graph has attracted 9% as many forks as stars, flow-next 9%. flow-next 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, 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 | flow-next | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 716 |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-29 | 2026-11-02 |
| Forks | ⑂ 3.0K | ⑂ 62 |
| 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 flow-next if
- You want the flow-next feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and flow-next 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 flow-next
Flow Next Agents generate. flow next proves. Implementation got cheap. Reviewing it, verifying it, and keeping a codebase coherent did not. Flow Next is a workflow plugin that runs inside your coding agent. Give it the change you want and the rules your project follows. It turns that intent into specs, implementation, review, and pull requests with evidence. Your specs, decisions, and task state live in your repository. A real recorded run: plan, then cross model plan review (catches a missing guard, fix, SHIP), then implement plus tests, then impl review SHIP, ending on the receipt. Nothing staged; every frame…
read the full flow-next overview →
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Frequently asked questions
Is code-review-graph or flow-next more popular?
code-review-graph has 32,563 GitHub stars and flow-next has 716. code-review-graph has the larger community by that measure.
Are code-review-graph and flow-next free?
Both are open source. code-review-graph is licensed under MIT and flow-next under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and flow-next?
code-review-graph is written in Python and flow-next 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 flow-next?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose flow-next if its feature set, stack or MIT licence fits better. Both are self-hostable.