--- title: "arthas vs hyperopt" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-arthas-vs-hyperopt-hyperopt" tools: ["alibaba-arthas", "hyperopt-hyperopt"] --- # arthas vs hyperopt *GraphCanon updated Jul 11, 2026* ## Verdict Pick arthas when arthas is primarily Java; hyperopt is Python; pick hyperopt when hyperopt 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. [hyperopt](http://hyperopt.github.io/hyperopt) has 7.6k stars, 1.1k forks, and 6 open issues, last pushed Jun 8, 2026. Figures are from public GitHub metadata via [arthas's repository](https://github.com/alibaba/arthas) and [hyperopt's repository](https://github.com/hyperopt/hyperopt). | | [arthas](/tools/alibaba-arthas.md) | [hyperopt](/tools/hyperopt-hyperopt.md) | | --- | --- | --- | | Tagline | Alibaba Java Diagnostic Tool Arthas | Distributed Asynchronous Hyperparameter Optimization in Python | | Stars | 37,427 | 7,588 | | Forks | 7,634 | 1,075 | | Open issues | 485 | 6 | | 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 | Other | | Categories | Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arthas](/tools/alibaba-arthas.md) | [hyperopt](/tools/hyperopt-hyperopt.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 10d | 33d | | Open issues (now) | 485 | 6 | | Full report | [trust report](/tools/alibaba-arthas/trust.md) | [trust report](/tools/hyperopt-hyperopt/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; hyperopt is Python. - License: arthas is Apache-2.0, hyperopt is Other. - 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 hyperopt if… - hyperopt is primarily Python; arthas is Java. - License: hyperopt is Other, arthas is Apache-2.0. - Tags unique to hyperopt: hacktoberfest, python. ## 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 hyperopt - 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 hyperopt? arthas: Alibaba Java Diagnostic Tool Arthas. hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python. See the comparison table for live GitHub stats and shared categories. ### When should I choose arthas over hyperopt? Choose arthas over hyperopt when arthas is primarily Java; hyperopt is Python; License: arthas is Apache-2.0, hyperopt is Other; 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 hyperopt over arthas? Choose hyperopt over arthas when hyperopt is primarily Python; arthas is Java; License: hyperopt is Other, arthas is Apache-2.0; Tags unique to hyperopt: hacktoberfest, python. ### 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 hyperopt? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is arthas or hyperopt more popular on GitHub? arthas has more GitHub stars (37,427 vs 7,588). Stars measure visibility, not whether either tool fits your constraints. ### Are arthas and hyperopt open source? Yes - both are open-source projects on GitHub (arthas: Apache-2.0, hyperopt: Other). ### Where can I find alternatives to arthas or hyperopt? GraphCanon lists graph-backed alternatives at [arthas alternatives](/tools/alibaba-arthas/alternatives) and [hyperopt alternatives](/tools/hyperopt-hyperopt/alternatives) ([arthas markdown twin](/tools/alibaba-arthas/alternatives.md), [hyperopt markdown twin](/tools/hyperopt-hyperopt/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-hyperopt-hyperopt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arthas or hyperopt? arthas: Active. hyperopt: Steady. 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 hyperopt? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arthas trust report](/tools/alibaba-arthas/trust); [hyperopt trust report](/tools/hyperopt-hyperopt/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/_