--- title: "grafbase vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/grafbase-grafbase-vs-tirth8205-code-review-graph" tools: ["grafbase-grafbase", "tirth8205-code-review-graph"] --- # grafbase vs code-review-graph *GraphCanon updated Aug 26, 2026* ## Verdict Pick grafbase if grafbase, an enterprise-grade GraphQL Federation Gateway in Rust and WebAssembly for integrating AI models via API; 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. [grafbase](https://the-guild.dev/graphql/hive/blog/acquired-grafbase) reports 1.2k GitHub stars, 71 forks, and 13 open issues, last pushed Jul 1, 2026. [code-review-graph](https://code-review-graph.com) has 31k stars, 2.8k forks, and 110 open issues, last pushed Aug 22, 2026. Figures are from public GitHub metadata via [grafbase's repository](https://github.com/grafbase/grafbase) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [grafbase](/tools/grafbase-grafbase.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | GraphQL Federation Gateway for AI APIs in Rust and WebAssembly | Local-first code intelligence graph for MCP and CLI. | | Stars | 1,230 | 30,832 | | Forks | 71 | 2,808 | | Open issues | 13 | 110 | | Language | Rust | Python | | Adopt for | Grafbase, an enterprise-grade GraphQL Federation Gateway in Rust and WebAssembly for integrating AI models via API. | 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 | MPL-2.0 | MIT | | Categories | Developer Tools | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [grafbase](/tools/grafbase-grafbase.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 25d | 3d | | Open issues (now) | 13 | 110 | | Stars delta | Unknown | +4.4k (30d) | | Open issues delta | Unknown | -12 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/grafbase-grafbase/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Decision facts: grafbase - **Hosting:** self hosted - Grafbase operates as a self-hosted solution, giving users full control over their GraphQL gateway and associated services. - **Adopt for:** Grafbase, an enterprise-grade GraphQL Federation Gateway in Rust and WebAssembly for integrating AI models via API. ## 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 grafbase if… - grafbase is primarily Rust; code-review-graph is Python. - License: grafbase is MPL-2.0, code-review-graph is MIT. - Grafbase operates as a self-hosted solution, giving users full control over their GraphQL gateway and associated services. - Tags unique to grafbase: ai, api, graphql, rust. - You require an enterprise-level GraphQL gateway with support for Rust and WebAssembly to integrate advanced AI APIs. ### Choose code-review-graph if… - code-review-graph is primarily Python; grafbase is Rust. - License: code-review-graph is MIT, grafbase is MPL-2.0. - Tags unique to code-review-graph: ai-coding, claude, code-review, graphrag. - Also covers LLM Frameworks. - When working with extensive codebases where context-specific reviews are essential ## When NOT to use grafbase - You do not require advanced federation capabilities or specific use of Rust and WebAssembly in your GraphQL implementation. - If your project has limited scalability needs and can suffice with simpler, monolithic GraphQL service solutions. - When seeking a platform with broader language support rather than focusing primarily on Rust and WebAssembly. ## 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 grafbase and code-review-graph? grafbase: GraphQL Federation Gateway for AI APIs in Rust and WebAssembly. 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 grafbase over code-review-graph? Choose grafbase over code-review-graph when grafbase is primarily Rust; code-review-graph is Python; License: grafbase is MPL-2.0, code-review-graph is MIT; Grafbase operates as a self-hosted solution, giving users full control over their GraphQL gateway and associated services; Tags unique to grafbase: ai, api, graphql, rust; You require an enterprise-level GraphQL gateway with support for Rust and WebAssembly to integrate advanced AI APIs. ### When should I choose code-review-graph over grafbase? Choose code-review-graph over grafbase when code-review-graph is primarily Python; grafbase is Rust; License: code-review-graph is MIT, grafbase is MPL-2.0; Tags unique to code-review-graph: ai-coding, claude, code-review, graphrag; Also covers LLM Frameworks; When working with extensive codebases where context-specific reviews are essential. ### When should I avoid grafbase? You do not require advanced federation capabilities or specific use of Rust and WebAssembly in your GraphQL implementation. If your project has limited scalability needs and can suffice with simpler, monolithic GraphQL service solutions. When seeking a platform with broader language support rather than focusing primarily on Rust and WebAssembly. ### 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 grafbase or code-review-graph more popular on GitHub? code-review-graph has more GitHub stars (30,832 vs 1,230). Stars measure visibility, not whether either tool fits your constraints. ### Are grafbase and code-review-graph open source? Yes - both are open-source projects on GitHub (grafbase: MPL-2.0, code-review-graph: MIT). ### Where can I find alternatives to grafbase or code-review-graph? GraphCanon lists graph-backed alternatives at [grafbase alternatives](/tools/grafbase-grafbase/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([grafbase markdown twin](/tools/grafbase-grafbase/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/grafbase-grafbase-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, grafbase or code-review-graph? grafbase: 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 grafbase and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [grafbase trust report](/tools/grafbase-grafbase/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=grafbase-grafbase`](/api/graphcanon/graph?tool=grafbase-grafbase) - 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/_