head to head · open source
code-review-graph vs Aletheore
code-review-graph has 32,384 GitHub stars, 2,957 forks, 163 open issues and last shipped 11 days ago. Aletheore has 612 stars, 43 forks, 4 open issues and last shipped 2 days ago. code-review-graph leads on adoption by 5,192% (32,384 vs 612 stars). code-review-graph is written in Python under MIT; Aletheore is written in Python under AGPL-3.0. code-review-graph has attracted 9% as many forks as stars, Aletheore 7%. Aletheore 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, static-analysis), 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 | Aletheore | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 612 |
| License | MIT | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-10-16 | 2026-10-25 |
| Forks | ⑂ 3.0K | ⑂ 43 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick code-review-graph if
- You weight community size — 32K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Aletheore if
- You want the Aletheore feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and Aletheore 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 Aletheore
Evidence grounded repository intelligence Code intelligence that has to show its work. A deterministic scanner reads your repo and writes structured evidence — every downstream feature (AI audit, PR bot, MCP server, dashboard) has to cite that evidence, or it doesn't get to make the claim. Install the Aletheore GitHub App — hosted PR review, dashboard, and AIRview docs on top of the same evidence engine. Prefer the free local CLI? Keep reading below. No LLM call, no account, no network access beyond the vulnerability/license registry lookups (turn those off too for a fully offline run). That one command gets you…
read the full Aletheore overview →
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Frequently asked questions
Is code-review-graph or Aletheore more popular?
code-review-graph has 32,384 GitHub stars and Aletheore has 612. code-review-graph has the larger community by that measure.
Are code-review-graph and Aletheore free?
Both are open source. code-review-graph is licensed under MIT and Aletheore under AGPL-3.0. Neither carries a licence fee.
What is the difference between code-review-graph and Aletheore?
code-review-graph is written in Python and Aletheore 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 Aletheore?
Choose code-review-graph if you want the larger community (32,384 stars) or its MIT licence terms. Choose Aletheore if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.