head to head · open source
code-review-graph vs aislop
code-review-graph has 32,563 GitHub stars, 2,964 forks, 163 open issues and last shipped 5 days ago. aislop has 720 stars, 41 forks, 19 open issues and last shipped 2 days ago. code-review-graph leads on adoption by 4,423% (32,563 vs 720 stars). code-review-graph is written in Python under MIT; aislop is written in TypeScript under MIT. code-review-graph has attracted 9% as many forks as stars, aislop 6%. aislop was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | aislop | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 720 |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-10-29 | 2026-11-01 |
| Forks | ⑂ 3.0K | ⑂ 41 |
| 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 aislop if
- You want the aislop feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and aislop 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 aislop
aislop Catch the slop AI coding agents leave in your code. The patterns Claude Code, Cursor, Codex, and OpenCode leave behind: narrative comments above self explanatory code, swallowed exceptions, hidden fallbacks, as any casts, hallucinated imports, duplicated helpers, dead code, todo stubs, oversized functions. Tests pass. Lint passes. The code rots anyway. aislop catches them. 50+ rules across 10 language targets (TypeScript, JavaScript, Expo / React Native, Python, Go, Rust, Ruby, PHP, C , C/C++). Scores every change 0–100. Sub second. Deterministic: no LLM in the runtime path, same code in, same score out…
read the full aislop overview →
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Frequently asked questions
Is code-review-graph or aislop more popular?
code-review-graph has 32,563 GitHub stars and aislop has 720. code-review-graph has the larger community by that measure.
Are code-review-graph and aislop free?
Both are open source. code-review-graph is licensed under MIT and aislop under MIT. Neither carries a licence fee.
What is the difference between code-review-graph and aislop?
code-review-graph is written in Python and aislop 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 aislop?
Choose code-review-graph if you want the larger community (32,563 stars) or its MIT licence terms. Choose aislop if its feature set, stack or MIT licence fits better. Both are self-hostable.