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alibaba/arthas

Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas

Java ◇ agent Apache-2.0
★37.6KSTARS
⑂7.6KFORKS
!488ISSUES
🏆#325GLOBAL RANK
🔥84DAYS TRENDING
🚀
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Momentum

+939

STARS · LAST 30 DAYS

31

PER DAY

#8

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+217+939+2.8K
Per day313131
Forks gained+38+153+382

arthas gained 939 stars in the last 30 days, about 31 a day, and now has 37.6K. It is about 8 years old and has averaged roughly 4.7K stars a year. It ranks #8 among Java repositories and #325 across all languages on GitHubRepo.

Trending Record

arthas has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

arthas is an open-source project written in Java: Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, alibaba, arthas. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/alibaba/arthas.git
cd arthas

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

arthas coordinates its core functionality through a modular Java pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with arthas.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install arthas using your package manager: `git clone https://github.com/alibaba/arthas.git`

2

Initialize your project workspace or configuration file for arthas.

3

Import arthas into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `arthas --help` to verify successful setup.

👍 Strengths

Active community backing with 37,556 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

alibaba/arthas is currently ranked #325 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#320 PhilJay/MPAndroidChart Kotlin ★ 38.2K Compare ↗
#321 TriliumNext/Trilium TypeScript ★ 38.2K Compare ↗
#322 aquasecurity/trivy Go ★ 38.2K Compare ↗
#323 servo/servo Rust ★ 38.1K Compare ↗
#324 vlang/v V ★ 37.9K Compare ↗
#325 alibaba/arthas This Project Java ★ 37.6K
#325 eugenp/tutorials Java ★ 37.3K Compare ↗
#326 anthropics/claude-plugins-official Python ★ 37.3K Compare ↗
#327 fastify/fastify JavaScript ★ 37.2K Compare ↗
#328 huggingface/pytorch-image-models Python ★ 37.2K Compare ↗
#329 google-ai-edge/mediapipe C++ ★ 37.1K Compare ↗

Frequently Asked Questions

What does arthas do? +

Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas

What language is arthas written in? +

The primary language is Java. Topics include: agent, alibaba, arthas, classloader, diagnosis.

Is arthas actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 488 open issues being tracked.

How many stars does arthas have? +

arthas has 37,556 stars and 7,642 forks on GitHub.

How does arthas rank among GitHub repositories? +

With 37,556 stars, alibaba/arthas is ranked #325 globally across all repositories tracked on GitHubRepo and #8 among Java projects.

What license is arthas distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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