--- title: "open-code-review vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-open-code-review-vs-tirth8205-code-review-graph" tools: ["alibaba-open-code-review", "tirth8205-code-review-graph"] --- # open-code-review vs code-review-graph *GraphCanon updated Aug 19, 2026* ## Verdict Pick open-code-review if open-code-review is a hybrid architecture code review tool using deterministic pipelines and an LLM Agent to provide detailed feedback, including specific security rule checks; pick code-review-graph if code-review-graph provides a local-first code intelligence graph specifically for MCP and CLI, optimizing AI coding tool reviews by focusing on necessary contexts in large repositories. [open-code-review](https://open-codereview.ai) reports 21k GitHub stars, 1.5k forks, and 126 open issues, last pushed Aug 19, 2026. [code-review-graph](https://code-review-graph.com) has 26k stars, 2.5k forks, and 122 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [open-code-review's repository](https://github.com/alibaba/open-code-review) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [open-code-review](/tools/alibaba-open-code-review.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | Hybrid architecture code review tool with LLM Agent for precise line-level comments and built-in security rule checks. | Local-first code intelligence graph for MCP and CLI. | | Stars | 20,812 | 26,442 | | Forks | 1,482 | 2,471 | | Open issues | 126 | 122 | | Language | Go | Python | | Adopt for | open-code-review is a hybrid architecture code review tool using deterministic pipelines and an LLM Agent to provide detailed feedback, including specific security rule checks. | code-review-graph provides a local-first code intelligence graph specifically for MCP and CLI, optimizing AI coding tool reviews by focusing on necessary contexts in large repositories. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 license, providing a balance between permissive usage and explicit patent grants. | MIT | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [open-code-review](/tools/alibaba-open-code-review.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Open issues (now) | 126 | 122 | | Stars delta | +10k (30d) | Unknown | | Open issues delta | +89 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/alibaba-open-code-review/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Decision facts: open-code-review - **Pricing:** freemium - The tool is open-source and free. - **Adopt for:** open-code-review is a hybrid architecture code review tool using deterministic pipelines and an LLM Agent to provide detailed feedback, including specific security rule checks. - **License detail:** Apache-2.0 license, providing a balance between permissive usage and explicit patent grants. ## Decision facts: code-review-graph - **Adopt for:** code-review-graph provides a local-first code intelligence graph specifically for MCP and CLI, optimizing AI coding tool reviews by focusing on necessary contexts in large repositories. ## Choose when ### Choose open-code-review if… - open-code-review is primarily Go; code-review-graph is Python. - License: open-code-review is Apache-2.0, code-review-graph is MIT. - Pricing: The tool is open-source and free.. - Tags unique to open-code-review: agent-skills, code-review-assistant, repository-level-context. - When leveraging the capabilities of a large language model (LLM) agent for precise line-level commenting and rule enforcement, especially if you are familiar with or prefer Go in your tech stack. ### Choose code-review-graph if… - code-review-graph is primarily Python; open-code-review is Go. - License: code-review-graph is MIT, open-code-review is Apache-2.0. - Tags unique to code-review-graph: ai-coding, claude, code-review, graphrag. - When working with extensive codebases where context-specific reviews are essential ## When NOT to use open-code-review - For development teams looking for a tool that offers real-time suggestions beyond line-level comments since open-code-review focuses on deterministic pipeline assessments and LLM-generated feedback at - sync events. - When specific integration with frameworks or languages not supported by this tool is crucial, such as those needing more Python-centric integrations which might not align well with its Go-based core. ## When NOT to use code-review-graph - For projects that do not benefit from a persistent map of codebase contexts, like small independent scripts - If developers prefer cloud-based continuous integration setups over local-first solutions for code intelligence enhancement ## Common questions ### What is the difference between open-code-review and code-review-graph? open-code-review: Hybrid architecture code review tool with LLM Agent for precise line-level comments and built-in security rule checks.. code-review-graph: Local-first code intelligence graph for MCP and CLI.. See the comparison table for live GitHub stats and shared categories. ### When should I choose open-code-review over code-review-graph? Choose open-code-review over code-review-graph when open-code-review is primarily Go; code-review-graph is Python; License: open-code-review is Apache-2.0, code-review-graph is MIT; Pricing: The tool is open-source and free.; Tags unique to open-code-review: agent-skills, code-review-assistant, repository-level-context; When leveraging the capabilities of a large language model (LLM) agent for precise line-level commenting and rule enforcement, especially if you are familiar with or prefer Go in your tech stack. ### When should I choose code-review-graph over open-code-review? Choose code-review-graph over open-code-review when code-review-graph is primarily Python; open-code-review is Go; License: code-review-graph is MIT, open-code-review is Apache-2.0; Tags unique to code-review-graph: ai-coding, claude, code-review, graphrag; When working with extensive codebases where context-specific reviews are essential. ### When should I avoid open-code-review? For development teams looking for a tool that offers real-time suggestions beyond line-level comments since open-code-review focuses on deterministic pipeline assessments and LLM-generated feedback at sync events. When specific integration with frameworks or languages not supported by this tool is crucial, such as those needing more Python-centric integrations which might not align well with its Go-based core. ### When should I avoid code-review-graph? For projects that do not benefit from a persistent map of codebase contexts, like small independent scripts If developers prefer cloud-based continuous integration setups over local-first solutions for code intelligence enhancement ### Is open-code-review or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (26,442 vs 20,812). Stars measure visibility, not whether either tool fits your constraints. ### Are open-code-review and code-review-graph open source? Yes - both are open-source projects on GitHub (open-code-review: Apache-2.0, code-review-graph: MIT). ### Where can I find alternatives to open-code-review or code-review-graph? GraphCanon lists graph-backed alternatives at [open-code-review alternatives](/tools/alibaba-open-code-review/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([open-code-review markdown twin](/tools/alibaba-open-code-review/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/alibaba-open-code-review-vs-tirth8205-code-review-graph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, open-code-review or code-review-graph? open-code-review: Very active. code-review-graph: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for open-code-review and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [open-code-review trust report](/tools/alibaba-open-code-review/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaba-open-code-review`](/api/graphcanon/graph?tool=alibaba-open-code-review) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_