# labuladong/fucking-algorithm

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134,160 stars · 23,593 forks · Markdown

## Links

- GitHub: https://github.com/labuladong/fucking-algorithm
- Homepage: https://labuladong.online/algo/
- awesome-repositories: https://awesome-repositories.com/repository/labuladong-fucking-algorithm.md

## Topics

`algorithms` `computer-science` `data-structures` `dynamic-programming` `dynamic-programming-algorithm` `interview-questions` `kmp` `leetcode`

## Description

This project is a comprehensive educational platform designed to facilitate the mastery of computer science algorithms and data structures. It provides a structured learning curriculum, a library of practice problems, and an integrated toolkit that supports both academic study and competitive programming preparation. By combining theoretical roadmaps with practical implementation exercises, the system enables users to build a deep understanding of core computational concepts.

The platform distinguishes itself through its focus on integrated learning and visual clarity. It offers AI-powered guidance and editor-native plugins for popular development environments, allowing users to access algorithmic templates and conceptual references directly within their coding workflow. To assist with the comprehension of complex logic, the project includes an interactive visualization suite that renders recursive processes and data structure operations, such as graph connectivity and search strategies, in real-time.

Beyond its core educational content, the project provides specialized utilities for competitive programming, including standardized input-output bridging and environment configuration tools. These features ensure that users can efficiently translate their algorithmic knowledge into solutions for assessment platforms. The repository serves as a centralized resource for technical skill acquisition, offering a systematic approach to navigating advanced topics and refining problem-solving methodologies.

## Tags

### Education & Learning Resources

- [Algorithmic Learning Curricula](https://awesome-repositories.com/f/education-learning-resources/curricula-instructional-design/educational-frameworks-architectures/domain-specific-learning-paths/algorithmic-learning-curricula.md) — Establishes structured learning roadmaps that combine conceptual frameworks with targeted problem sets for mastering core computer science data structures.
- [Practice Problem Sets](https://awesome-repositories.com/f/education-learning-resources/educational-resources/courses-training-certifications/courses-structured-learning/coding-exercises/practice-problem-sets.md) — Curates a vast collection of algorithmic exercises and coding challenges tailored for skill acquisition and technical interview preparation. ([source](https://labuladong.online/algo/en/))
- [Integrated Learning Environments](https://awesome-repositories.com/f/education-learning-resources/learning-platforms-infrastructure/educational-infrastructure/educational-platforms/interactive-coding-environments/integrated-learning-environments.md) — Integrates algorithmic references, reusable code templates, and conceptual guidance directly into the development workflow.
- [Learning Roadmaps](https://awesome-repositories.com/f/education-learning-resources/professional-development-career/career-development/community-operations-engagement/community-resources-initiatives/learning-roadmaps.md) — Outlines a comprehensive curriculum and study path designed to guide learners through foundational algorithmic concepts and professional skill development. ([source](https://labuladong.online/algo/en/))
- [Recursive Logic Visualizers](https://awesome-repositories.com/f/education-learning-resources/learning-platforms-infrastructure/educational-infrastructure/educational-platforms/recursive-logic-visualizers.md) — Maps complex recursive call stacks and state transitions to observable diagrams that clarify the execution flow of algorithms.
- [Interactive Visualization Suites](https://awesome-repositories.com/f/education-learning-resources/learning-platforms-infrastructure/educational-infrastructure/educational-tools/interactive-visualization-suites.md) — Generates graphical diagrams of recursive logic, sorting processes, and search strategies to enhance the conceptual understanding of computational operations.
- [Trie Visualizers](https://awesome-repositories.com/f/education-learning-resources/educational-resources/algorithms-theory-academics/cs-theory-foundations/data-structure-implementations/data-structure-visualizers/trie-visualizers.md) — Demonstrates prefix tree construction and search operations through specialized node structures that track character sequences. ([source](https://labuladong.online/algo/intro/visualize/))

### Artificial Intelligence & ML

- [AI-Powered Educational Assistants](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-tooling/educational-and-learning-aids/ai-powered-educational-assistants.md) — Utilizes intelligent guidance systems to offer real-time explanations and template-based assistance for navigating intricate algorithmic theory.
- [Algorithmic Tutors](https://awesome-repositories.com/f/artificial-intelligence-ml/artificial-intelligence-tooling/educational-and-learning-aids/ai-educational-assistants/algorithmic-tutors.md) — Accelerates comprehension of complex technical concepts by offering real-time AI-driven guidance on algorithmic templates and theory. ([source](https://labuladong.online/algo/home/))

### Development Tools & Productivity

- [Competitive Programming Toolkits](https://awesome-repositories.com/f/development-tools-productivity/terminal-shell-cli/competitive-programming-tools/competitive-programming-toolkits.md) — Bundles standardized execution environments and robust input-output parsers to facilitate efficient algorithmic development.
- [Algorithm Visualizers](https://awesome-repositories.com/f/development-tools-productivity/debugging-tools/algorithm-visualizers.md) — Visualizes recursive logic and data structure operations through interactive representations to simplify complex execution flows.
- [Input-Output Parsers](https://awesome-repositories.com/f/development-tools-productivity/terminal-shell-cli/competitive-programming-tools/input-output-parsers.md) — Handles raw input streams and output formatting requirements common in competitive programming environments. ([source](https://labuladong.online/algo/intro/leetcode/))
- [IDE-Integrated Educational Plugins](https://awesome-repositories.com/f/development-tools-productivity/developer-utilities-libraries/workflow-productivity-enhancers/developer-productivity-utilities/developer-experience/documentation-learning-tools/ide-integrated-educational-plugins.md) — Injects educational content and algorithmic templates directly into development environments to maintain cognitive continuity during coding.
- [JetBrains Plugins](https://awesome-repositories.com/f/development-tools-productivity/jetbrains-plugins.md) — Enables seamless access to algorithmic solutions and conceptual insights within the integrated development environment. ([source](https://cdn.jsdelivr.net/gh/labuladong/fucking-algorithm@master/README.md))
- [Editor Extensions](https://awesome-repositories.com/f/development-tools-productivity/code-editors-ides/extension-ecosystems-management/editor-extensions.md) — Surfaces algorithmic solutions, reference documentation, and debugging aids directly within professional coding workflows.
- [Browser Extensions](https://awesome-repositories.com/f/development-tools-productivity/platforms-runtimes-language-services/development-platforms/browser-extensions.md) — Integrate algorithmic study materials directly into your browser to maintain focus while practicing coding challenges on external platforms. ([source](https://cdn.jsdelivr.net/gh/labuladong/fucking-algorithm@master/README.md))

### Scientific & Mathematical Computing

- [Environments](https://awesome-repositories.com/f/scientific-mathematical-computing/numerical-mathematical-foundations/algorithms-and-complexity/algorithms/development-and-practice/competitive-programming/environments.md) — Supplies standardized input-output templates and efficient data structure implementations to streamline algorithmic problem solving under strict constraints.
- [Algorithmic Templates](https://awesome-repositories.com/f/scientific-mathematical-computing/numerical-mathematical-foundations/algorithms-and-complexity/algorithms/development-and-practice/algorithmic-development-frameworks/algorithmic-templates.md) — Standardizes problem-solving approaches for common data structure operations through a library of reusable code patterns.
- [Backtracking Algorithms](https://awesome-repositories.com/f/scientific-mathematical-computing/numerical-mathematical-foundations/algorithms-and-complexity/algorithms/algorithmic-learning-resources/backtracking-algorithms.md) — Master systematic exploration techniques to solve constraint satisfaction problems by traversing all potential decision paths. ([source](https://labuladong.online/algo/intro/quick-learning-plan/))
- [Array Manipulation Problems](https://awesome-repositories.com/f/scientific-mathematical-computing/numerical-mathematical-foundations/algorithms-and-complexity/algorithms/algorithmic-problems/array-manipulation-problems.md) — Exercises core logic for searching and transforming array-based data structures to identify duplicates or specific patterns. ([source](https://labuladong.online/algo/programming-language-basic/lc-practice/))
- [String Manipulation Challenges](https://awesome-repositories.com/f/scientific-mathematical-computing/numerical-mathematical-foundations/algorithms-and-complexity/algorithms/algorithmic-problems/string-manipulation-challenges.md) — Validates character sequences and bracket matching through algorithmic logic designed to process and transform string data. ([source](https://labuladong.online/algo/programming-language-basic/lc-practice/))

### Part of an Awesome List

- [Programming Foundations](https://awesome-repositories.com/f/awesome-lists/learning/programming-foundations.md) — LeetCode-based guide for mastering algorithmic techniques.