head to head · open source
code-review-graph vs flock
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. flock has 501 stars, 6 forks, 2 open issues and last shipped 8 days ago. code-review-graph leads on adoption by 6,400% (32,563 vs 501 stars). code-review-graph is written in Python under MIT; flock is written in Go under MIT. code-review-graph has attracted 9% as many forks as stars, flock 1%. code-review-graph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (claude, claude-code, code-review, llm), 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 | flock | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 501 |
| License | MIT | MIT |
| Written in | Python | Go |
| Last push | 2026-10-29 | 2026-10-26 |
| Forks | ⑂ 3.0K | ⑂ 6 |
| 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 flock if
- You want the flock feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and flock 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 flock
English · Русский · 中文 · Español · Deutsch · Français · Português (BR) · 日本語 Flock Run a Claude Code AI dev team on your server and drive it from chat. Describe a feature in Telegram, VK or LO; the team plans it, builds it on a branch, tests it, reviews it, and opens a PR — each chat in its own isolated workspace. It runs on your Claude Pro/Max subscription (no per token billing) or an Anthropic API key, ships as prebuilt Docker images (no build step), and keeps every chat in its own sandboxed workspace. Quick start (Docker) That pulls the prebuilt image ghcr.io/duckbugio/flock telegram — no build, no Ansible —…
read the full flock overview →
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Frequently asked questions
Is code-review-graph or flock more popular?
code-review-graph has 32,563 GitHub stars and flock has 501. code-review-graph has the larger community by that measure.
Are code-review-graph and flock free?
Both are open source. code-review-graph is licensed under MIT and flock under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and flock?
code-review-graph is written in Python and flock in Go. 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 flock?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose flock if its feature set, stack or MIT licence fits better. Both are self-hostable.