krahets/hello-algo

Description: 《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語,提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现

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Summary Information

Updated 28 minutes ago
Added to GitGenius on June 16th, 2026
Created on November 4th, 2022
Open Issues & Pull Requests: 39 (+0)
Number of forks: 15,324
Total Stargazers: 128,599 (+1)
Total Subscribers: 644 (+0)

Issue Activity (beta)

Open issues: 12
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 413 days
Stale 30+ days: 10
Stale 90+ days: 6

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • code (3)
  • enhancement (3)
  • translation (2)
  • documents (1)

Most active issues this week

Repository Insights (GitGenius)

Median issue/PR response: 6.2 hours
Mean response time: 7.0 days
90th percentile: 31.5 days
Tracked items: 116

Most active contributors

Detailed Description

Hello Algo is an open-source educational tutorial on data structures and algorithms designed specifically for beginners. The project is hosted at https://www.hello-algo.com and provides animated visualizations paired with runnable code examples to make learning these fundamental computer science concepts accessible and engaging. The repository supports multiple languages including Simplified Chinese, Traditional Chinese, English, and Japanese, making it a genuinely international learning resource.

The core pedagogical approach centers on animation-based explanations combined with executable code. The project includes implementations across thirteen programming languages: Python, Java, C++, C, C#, JavaScript, Go, Swift, Rust, Ruby, Kotlin, TypeScript, and Dart. This multi-language support allows learners to study algorithms in their language of choice and see how the same concepts translate across different programming paradigms. All source code is designed to be runnable with a single click, enabling readers to experiment with algorithms directly rather than just reading about them theoretically.

The repository is actively maintained with strong community engagement. According to GitGenius activity tracking, the primary maintainer krahets has logged 243 events, with secondary contributors ofou and khoaxuantu contributing 19 and 7 events respectively across 116 tracked issues and pull requests. The median response latency for issues and pull requests is 6.2 hours, indicating responsive project management. The most frequently addressed issue categories involve code improvements, enhancements, and translation work, reflecting the project's dual focus on content quality and international accessibility.

The project has attracted attention from developers working on major open-source projects. GitGenius identifies overlapping contributors with microsoft/vscode, microsoft/typescript, and rust-lang/rust, suggesting the repository has gained recognition within the broader programming community. The classification system identifies Hello Algo as spanning multiple domains including algorithms, data structures, visualization, education, and interactive learning tools, with particular emphasis on beginner-friendly content and algorithm animation.

The teaching philosophy emphasizes smooth learning curves and visual clarity. Rather than presenting dense mathematical proofs or complex implementations, the material uses diagrams and step-by-step animations to illustrate how data structures work and why algorithms behave as they do. The project explicitly encourages collaborative learning, inviting readers to ask questions and share insights in discussion areas, positioning the repository as a community learning space rather than a static reference.

The repository is available in multiple formats beyond the GitHub platform. Readers can access the content online through the dedicated website or download PDF and EPUB versions from the releases section, accommodating different learning preferences and offline access needs. The project maintains an open contribution model, actively seeking help with content corrections, code translations to additional languages, and multilingual translation and review work. This structure has enabled the project to grow into a comprehensive resource while maintaining quality through community participation.

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