head to head · open source
code-review-graph vs dscode
code-review-graph has 32,721 GitHub stars, 2,974 forks, 163 open issues and last shipped yesterday. dscode has 999 stars, 6 forks, 0 open issues and last shipped 15 days ago. code-review-graph leads on adoption by 3,175% (32,721 vs 999 stars). code-review-graph is written in Python under MIT; dscode is written in JavaScript under MIT. code-review-graph has attracted 9% as many forks as stars, dscode 1%. 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 (code-review, llm, 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 | dscode | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 999 |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-11-11 | 2026-10-28 |
| 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 dscode if
- You want the dscode feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and dscode 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 dscode
❄ DSCODE Write code in your terminal. Plug scripts into a live session. Hand tasks between agents. English · 简体中文 Core features · What's new · Quick start · Commands · Changelog · Docs DSCODE is a terminal coding agent for macOS, built on DeepSeek Harness. A persistent shell reads and writes code and runs tests; the TUI, the CLI and your scripts all share one session runtime instead of each starting their own. It installs as a pinned, reproducible harness—DSH dependencies, TUI and plugins are versioned and verified together. Most coding agents work alone. DSCODE is built on the opposite assumption: sessions on…
read the full dscode overview →
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Frequently asked questions
Is code-review-graph or dscode more popular?
code-review-graph has 32,721 GitHub stars and dscode has 999. code-review-graph has the larger community by that measure.
Are code-review-graph and dscode free?
Both are open source. code-review-graph is licensed under MIT and dscode under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and dscode?
code-review-graph is written in Python and dscode in JavaScript. 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 dscode?
Choose code-review-graph if you want the larger community (32,721 stars) or its MIT licence terms. Choose dscode if its feature set, stack or MIT licence fits better. Both are self-hostable.