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The Algorithms - Java

A large collection of classic algorithms and data structures written in Java for learning.TheAlgorithms/Java

GitHub Download source
Stars
66.7k
Forks
21.5k
Licence
MIT
Language
Java
Last update
4 days ago
Type
Learning resource

What it is

This is a repository of algorithms and data structures implemented in Java, such as sorting and searching methods. The README says the code is meant for educational purposes and may be less efficient than Java's standard library. A full list of implementations is kept in a separate directory file.

  • Read the implementation of a sorting or searching algorithm to see how it works
  • Browse the DIRECTORY.md file to find an algorithm or data structure by name
  • Run or edit an algorithm in an online environment such as Gitpod, as the README describes

Great for

  • Students learning algorithms and data structures in Java
  • Developers who want to read reference implementations of common algorithms
  • Contributors looking for open-source projects to add to

Not ideal for

  • Production systems that need the fastest possible code, because the README says these implementations may be less efficient than the Java standard library
  • Readers who need a packaged library to import, since the README describes the project as educational and does not describe a library API
Step-by-step guide: how to use The Algorithms - JavaInstall, first run, examples, tips and FAQs
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How to get it

  1. 1

    Clone and build from source

    Clone the repository

    git clone https://github.com/TheAlgorithms/Java
  2. 2

    Run it

    • Clone the repository to your computer
    • Open DIRECTORY.md to find the algorithm you want to study
    • Open the Java source file for that algorithm and read it
    • Run or edit the code in your Java environment or in Gitpod using the badge in the README
  3. 3

    Get the most out of it

    • Use DIRECTORY.md as an index to explore related algorithms together
    • Read CONTRIBUTING.md before submitting changes
    • Compare the educational implementation with the Java standard library to see the trade-offs

Downloads

Source code (.zip)master branch · straight from GitHub

Strengths

  • Covers many well-known algorithms in one place, organized for study
  • Open source under the MIT license
  • The README explicitly invites contributions and links to contribution guidelines

Trade-offs

  • The README states the code is for learning and may be slower than standard library code
  • The README is truncated, so specific build and run instructions could not be confirmed here

How it compares

ProjectStarsTypeLevelUpdatedBest for
Java (this)66.7kLearning resourcebeginner4 days agoStudents learning algorithms and data structures in Java
Python226kLearning resourcebeginner17 days agoStudents learning algorithms and data structures
C-Plus-Plus34.8kLearning resourceintermediate1 months agoStudents learning algorithms and data structures in C++
algorithms25.6kLibrarybeginner1 months agoStudents studying data structures and algorithms
javascript-algorithms197kLearning resourcebeginner3 months agoStudents learning core computer science concepts in JavaScript
interviews65.5kLearning resourcebeginner1.5 years agoStudents preparing for their first software engineering interviews

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.