--- title: "arthas vs grafbase" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-arthas-vs-grafbase-grafbase" tools: ["alibaba-arthas", "grafbase-grafbase"] --- # arthas vs grafbase *GraphCanon updated Jul 11, 2026* ## Verdict Pick arthas when arthas is primarily Java; grafbase is Rust; pick grafbase when grafbase is primarily Rust; arthas is Java. [arthas](https://arthas.aliyun.com/) reports 37k GitHub stars, 7.6k forks, and 485 open issues, last pushed Jul 1, 2026. [grafbase](https://the-guild.dev/graphql/hive/blog/acquired-grafbase) has 1.2k stars, 72 forks, and 12 open issues, last pushed Jul 1, 2026. Figures are from public GitHub metadata via [arthas's repository](https://github.com/alibaba/arthas) and [grafbase's repository](https://github.com/grafbase/grafbase). | | [arthas](/tools/alibaba-arthas.md) | [grafbase](/tools/grafbase-grafbase.md) | | --- | --- | --- | | Tagline | Alibaba Java Diagnostic Tool Arthas | [Acquired by The Guild] The Grafbase GraphQL Federation Gateway | | Stars | 37,427 | 1,231 | | Forks | 7,634 | 72 | | Open issues | 485 | 12 | | Language | Java | Rust | | Adopt for | Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MPL-2.0 | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arthas](/tools/alibaba-arthas.md) | [grafbase](/tools/grafbase-grafbase.md) | | --- | --- | --- | | Days since push | 10d | 9d | | Open issues (now) | 485 | 12 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/alibaba-arthas/trust.md) | [trust report](/tools/grafbase-grafbase/trust.md) | ## Decision facts: arthas - **Requirements:** Min 1 GB RAM - **Adopt for:** Arthas is a Java diagnostic tool from Alibaba designed to monitor and troubleshoot running Java applications using features such as tracing, classloader analysis, and JVM diagnostics. ## Choose when ### Choose arthas if… - arthas is primarily Java; grafbase is Rust. - License: arthas is Apache-2.0, grafbase is MPL-2.0. - Requirements: Min 1 GB RAM. - Tags unique to arthas: agent, diagnosis, java, jvm. - arthas ships Docker support for self-hosted deployment. - Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis. ### Choose grafbase if… - grafbase is primarily Rust; arthas is Java. - License: grafbase is MPL-2.0, arthas is Apache-2.0. - Tags unique to grafbase: ai, api, enterprise-graphql, federation. ## When NOT to use arthas - Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. - Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value. ## When NOT to use grafbase - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between arthas and grafbase? arthas: Alibaba Java Diagnostic Tool Arthas. grafbase: [Acquired by The Guild] The Grafbase GraphQL Federation Gateway. See the comparison table for live GitHub stats and shared categories. ### When should I choose arthas over grafbase? Choose arthas over grafbase when arthas is primarily Java; grafbase is Rust; License: arthas is Apache-2.0, grafbase is MPL-2.0; Requirements: Min 1 GB RAM; Tags unique to arthas: agent, diagnosis, java, jvm; arthas ships Docker support for self-hosted deployment; Utilize Arthas for deep diagnostics on running Java applications where you need advanced features such as bytecode enhancement or specific trace capabilities over static analysis. ### When should I choose grafbase over arthas? Choose grafbase over arthas when grafbase is primarily Rust; arthas is Java; License: grafbase is MPL-2.0, arthas is Apache-2.0; Tags unique to grafbase: ai, api, enterprise-graphql, federation. ### When should I avoid arthas? Avoid using Arthas if your primary need is for quick, surface-level diagnostics or performance tuning without diving into more advanced features. Do not use Arthas if you are working in a development environment outside of Java where this specific diagnostic tool would provide no value. ### When should I avoid grafbase? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is arthas or grafbase more popular on GitHub? arthas has more GitHub stars (37,427 vs 1,231). Stars measure visibility, not whether either tool fits your constraints. ### Are arthas and grafbase open source? Yes - both are open-source projects on GitHub (arthas: Apache-2.0, grafbase: MPL-2.0). ### Where can I find alternatives to arthas or grafbase? GraphCanon lists graph-backed alternatives at [arthas alternatives](/tools/alibaba-arthas/alternatives) and [grafbase alternatives](/tools/grafbase-grafbase/alternatives) ([arthas markdown twin](/tools/alibaba-arthas/alternatives.md), [grafbase markdown twin](/tools/grafbase-grafbase/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-arthas-vs-grafbase-grafbase.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arthas or grafbase? arthas: Active. grafbase: 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 arthas and grafbase? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arthas trust report](/tools/alibaba-arthas/trust); [grafbase trust report](/tools/grafbase-grafbase/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaba-arthas`](/api/graphcanon/graph?tool=alibaba-arthas) - 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/_