--- title: "arthas vs penzai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-arthas-vs-google-deepmind-penzai" tools: ["alibaba-arthas", "google-deepmind-penzai"] --- # arthas vs penzai *GraphCanon updated Jul 11, 2026* ## Verdict Pick arthas when arthas is primarily Java; penzai is Python; pick penzai when penzai 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. [penzai](https://penzai.readthedocs.io/) has 1.9k stars, 70 forks, and 17 open issues, last pushed Jun 22, 2025. Figures are from public GitHub metadata via [arthas's repository](https://github.com/alibaba/arthas) and [penzai's repository](https://github.com/google-deepmind/penzai). | | [arthas](/tools/alibaba-arthas.md) | [penzai](/tools/google-deepmind-penzai.md) | | --- | --- | --- | | Tagline | Alibaba Java Diagnostic Tool Arthas | A JAX research toolkit for building, editing, and visualizing neural networks. | | Stars | 37,427 | 1,893 | | Forks | 7,634 | 70 | | 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 | 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) | [penzai](/tools/google-deepmind-penzai.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 10d | 384d | | Open issues (now) | 485 | 17 | | Full report | [trust report](/tools/alibaba-arthas/trust.md) | [trust report](/tools/google-deepmind-penzai/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; penzai 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 penzai if… - penzai is primarily Python; arthas is Java. - Tags unique to penzai: fine-tuning, interpretability, jax, neural-networks. - 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 penzai - Last GitHub push was 385 days ago (dormant maintenance, Jun 22, 2025). Validate activity before betting a new project on penzai. - 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 penzai? arthas: Alibaba Java Diagnostic Tool Arthas. penzai: A JAX research toolkit for building, editing, and visualizing neural networks.. See the comparison table for live GitHub stats and shared categories. ### When should I choose arthas over penzai? Choose arthas over penzai when arthas is primarily Java; penzai 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 penzai over arthas? Choose penzai over arthas when penzai is primarily Python; arthas is Java; Tags unique to penzai: fine-tuning, interpretability, jax, neural-networks; 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 penzai? Last GitHub push was 385 days ago (dormant maintenance, Jun 22, 2025). Validate activity before betting a new project on penzai. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is arthas or penzai more popular on GitHub? arthas has more GitHub stars (37,427 vs 1,893). Stars measure visibility, not whether either tool fits your constraints. ### Are arthas and penzai open source? Yes - both are open-source projects on GitHub (arthas: Apache-2.0, penzai: Apache-2.0). ### Where can I find alternatives to arthas or penzai? GraphCanon lists graph-backed alternatives at [arthas alternatives](/tools/alibaba-arthas/alternatives) and [penzai alternatives](/tools/google-deepmind-penzai/alternatives) ([arthas markdown twin](/tools/alibaba-arthas/alternatives.md), [penzai markdown twin](/tools/google-deepmind-penzai/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-google-deepmind-penzai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arthas or penzai? arthas: Active. penzai: 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 penzai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arthas trust report](/tools/alibaba-arthas/trust); [penzai trust report](/tools/google-deepmind-penzai/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/_