--- title: "arthas vs viewer" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-arthas-vs-zetane-viewer" tools: ["alibaba-arthas", "zetane-viewer"] --- # arthas vs viewer *GraphCanon updated Jul 11, 2026* ## Verdict Pick arthas when arthas is primarily Java; viewer is Python; pick viewer when viewer is primarily Python; arthas is Java. [arthas](https://arthas.aliyun.com/) reports 37k GitHub stars, 7.6k forks, and 485 open issues, last pushed Jul 1, 2026. [viewer](https://github.com/zetane/viewer) has 1.8k stars, 168 forks, and 17 open issues, last pushed Aug 8, 2022. Figures are from public GitHub metadata via [arthas's repository](https://github.com/alibaba/arthas) and [viewer's repository](https://github.com/zetane/viewer). | | [arthas](/tools/alibaba-arthas.md) | [viewer](/tools/zetane-viewer.md) | | --- | --- | --- | | Tagline | Alibaba Java Diagnostic Tool Arthas | ML models and internal tensors 3D visualizer | | Stars | 37,427 | 1,832 | | Forks | 7,634 | 168 | | Open issues | 485 | 17 | | Language | Java | Python | | 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 | - | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arthas](/tools/alibaba-arthas.md) | [viewer](/tools/zetane-viewer.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 10d | 1433d | | Open issues (now) | 485 | 17 | | Full report | [trust report](/tools/alibaba-arthas/trust.md) | [trust report](/tools/zetane-viewer/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; viewer is Python. - 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 viewer if… - viewer is primarily Python; arthas is Java. - Tags unique to viewer: python. - Leaner open-issue backlog (17). ## 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 viewer - Last GitHub push was 1434 days ago (dormant maintenance, Aug 8, 2022). Validate activity before betting a new project on viewer. - 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 viewer? arthas: Alibaba Java Diagnostic Tool Arthas. viewer: ML models and internal tensors 3D visualizer. See the comparison table for live GitHub stats and shared categories. ### When should I choose arthas over viewer? Choose arthas over viewer when arthas is primarily Java; viewer is Python; 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 viewer over arthas? Choose viewer over arthas when viewer is primarily Python; arthas is Java; Tags unique to viewer: python; Leaner open-issue backlog (17). ### 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 viewer? Last GitHub push was 1434 days ago (dormant maintenance, Aug 8, 2022). Validate activity before betting a new project on viewer. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is arthas or viewer more popular on GitHub? arthas has more GitHub stars (37,427 vs 1,832). Stars measure visibility, not whether either tool fits your constraints. ### Are arthas and viewer open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to arthas or viewer? GraphCanon lists graph-backed alternatives at [arthas alternatives](/tools/alibaba-arthas/alternatives) and [viewer alternatives](/tools/zetane-viewer/alternatives) ([arthas markdown twin](/tools/alibaba-arthas/alternatives.md), [viewer markdown twin](/tools/zetane-viewer/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-zetane-viewer.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arthas or viewer? arthas: Active. viewer: Dormant. 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 viewer? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arthas trust report](/tools/alibaba-arthas/trust); [viewer trust report](/tools/zetane-viewer/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/_