--- title: "arthas" type: "tool" slug: "alibaba-arthas" canonical_url: "https://www.graphcanon.com/tools/alibaba-arthas" github_url: "https://github.com/alibaba/arthas" homepage_url: "https://arthas.aliyun.com/" stars: 37419 forks: 7630 primary_language: "Java" license: "Apache-2.0" categories: ["developer-tools"] tags: ["diagnosis", "arthas", "classloader", "trace", "jvm", "alibaba", "java", "agent"] updated_at: "2026-07-07T18:19:36.582994+00:00" --- # arthas > Alibaba Java Diagnostic Tool Arthas Arthas is an open-source diagnostic tool for troubleshooting production issues in Java applications without modifying code or restarting servers. ## Facts - Repository: https://github.com/alibaba/arthas - Homepage: https://arthas.aliyun.com/ - Stars: 37,419 · Forks: 7,630 · Open issues: 482 · Watchers: 1,105 - Primary language: Java - License: Apache-2.0 - Last pushed: 2026-07-01T02:39:39+00:00 ## Categories - [Developer Tools](/categories/developer-tools.md) ## Tags diagnosis, arthas, classloader, trace, jvm, alibaba, java, agent ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [browser-use](/tools/browser-use-browser-use.md) - 🌐 Make websites accessible for AI agents. 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More importantly, debugging in production environment is unacceptable, as it will suspend all the threads, resulting in the suspension of business services. Developers could always try to reproduce the same issue on the test/staging environment. However, this is tricky as some issues cannot be reproduced easily on a different environment, or even disappear once restarted. And if you're thinking of adding some logs to your code to help troubleshoot the issue, you will have to go through the following lifecycle; test, staging, and then to production. Time is money! This approach is inefficient! Besides, the issue may not be reproducible once the JVM is restarted, as described above. Arthas was built to solve these issues. A developer can troubleshoot your production issues on-the-fly. No JVM restart, no additional code changes. Arthas works as an observer, which will never suspend your existing threads. ### Key features * Check whether a class is loaded, or where the class is being loaded. (Useful for troubleshooting jar file conflicts) * Decompile a class to ensure the code is running as expected. * View classloader statistics, e.g. the number of classloaders, the number of classes loaded per classloader, the classloader hierarchy, possible classloader leaks, etc. * View the method invocation details, e.g. method parameter, return object, thrown exception, and etc. * Check the stack trace of specified method invocation. This is useful when a developers wants to know the caller of the said method. * Trace the method invocation to find slow sub-invocations. * Monitor method invocation statistics, e.g. qps, rt, success rate and etc. * Monitor system metrics, thread states and cpu usage, gc statistics, and etc. * Supports command line interactive mode, with auto-complete feature enabled. * Supports telnet and websocket, which enables both local and remote diagnostics with command line and browsers. * Supports profiler/Flame Graph * Support get objects in the heap that are instances of the specified class. * Supports JDK 8+ in version 4.x, including JDK 17, JDK 21, and JDK 25. * Supports Linux/Mac/Windows. ### Online Tutorials(Recommended) * [View](https://arthas.aliyun.com/doc/arthas-tutorials.html?language=en) ### Quick start #### Use `arthas-boot`(Recommended) Download`arthas-boot.jar`，Start with `java` command: ```bash curl -O https://arthas.aliyun.com/arthas-boot.jar java -jar arthas-boot.jar ``` Print usage: ```bash java -jar arthas-boot.jar -h ``` #### Use `as.sh` You can install Arthas with one single line command on Linux, Unix, and Mac. Copy the following command and paste it into the command line, then press *Enter* to run: ```bash curl -L https://arthas.aliyun.com/install.sh | sh ``` The command above will download the bootstrap script `as.sh` to the current directory. You can move it any other place you want, or put its location in `$PATH`. You can enter its interactive interface by executing `as.sh`, or execute `as.sh -h` for more help information. ### Documentation * [Online Tutorials(Recommended)](https://arthas.aliyun.com/doc/arthas-tutorials.html?language=en) * [User manual](https://arthas.aliyun.com/doc/en) * [Installation](https://arthas.aliyun.com/doc/en/install-detail.html) * [Download](https://arthas.aliyun.com/doc/en/download.html) * [Quick start](https://arthas.aliyun.com/doc/en/quick-start.html) * [Advanced usage](https://arthas.aliyun.com/doc/en/advanced-use.html) * [Commands](https://arthas.aliyun.com/doc/en ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/alibaba-arthas`](/api/graphcanon/tools/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/_