head to head · open source
code-review-graph vs 0
code-review-graph has 32,774 GitHub stars, 2,979 forks, 163 open issues and last shipped 3 days ago. 0 has 1,356 stars, 179 forks, 3 open issues and last shipped today. code-review-graph leads on adoption by 2,317% (32,774 vs 1,356 stars). code-review-graph is written in Python under MIT; 0 is written in TypeScript under Apache-2.0. code-review-graph has attracted 9% as many forks as stars, 0 13%. 0 was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (code-review, mcp), 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 | 0 | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 1.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-12 | 2026-11-15 |
| Forks | ⑂ 3.0K | ⑂ 179 |
| 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 0 if
- You want the 0 feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and 0 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 0
The open source cybersecurity harness Backed by 0security automates vulnerability discovery, fixing and verification workflows. Watch the 45 second harness launch film The Swiss Applied AI & Cybersecurity Research Lab Quick start Open a new terminal after installing, or run export PATH="$HOME/.0/bin:$PATH" in the current one. 0 opens the local browser console: in Connections , add a model provider or supported subscription, choose a workspace, and start a chat. Prefer the terminal? Set a provider key and review a local repository: Review failures and incomplete coverage before reading an empty result as clean…
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Frequently asked questions
Is code-review-graph or 0 more popular?
code-review-graph has 32,774 GitHub stars and 0 has 1,356. code-review-graph has the larger community by that measure.
Are code-review-graph and 0 free?
Both are open source. code-review-graph is licensed under MIT and 0 under Apache-2.0. Neither carries a licence fee.
What is the difference between code-review-graph and 0?
code-review-graph is written in Python and 0 in TypeScript. 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 0?
Choose code-review-graph if you want the larger community (32,774 stars) or its MIT licence terms. Choose 0 if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.