explaingit

thealgorithms/javascript

34,165JavaScriptAudience · developerComplexity · 1/5MaintainedLicenseSetup · easy

TLDR

A collection of clean, readable JavaScript implementations of classic computer science algorithms and data structures for learning and interview prep.

Mindmap

mindmap
  root((repo))
    What it does
      Algorithm implementations
      Data structure examples
      Interview prep resource
    Topics covered
      Sorting and searching
      Graph traversal
      Cryptography basics
      Coding patterns
    How to use it
      Study runnable code
      Read wiki explanations
      Practice implementations
    Audience
      Interview candidates
      Computer science learners
      Beginner contributors

Things people build with this

USE CASE 1

Study how classic algorithms like quicksort and mergesort are implemented in JavaScript before a technical interview.

USE CASE 2

Learn data structures like linked lists, trees, and graphs by reading and running clean, well-commented code examples.

USE CASE 3

Contribute your own algorithm implementations to practice coding while receiving feedback from experienced maintainers.

USE CASE 4

Compare algorithm implementations across different languages by exploring the same algorithm in JavaScript, Python, Java, and other languages.

Tech stack

JavaScriptStandardJSNode.js

Getting it running

Difficulty · easy Time to first run · 5min
Open source with permissive licensing allowing free use, modification, and distribution for any purpose including commercial use.

In plain English

TheAlgorithms/JavaScript is an educational reference repository that contains clean, readable implementations of a wide range of computer science algorithms and data structures, all written in JavaScript. Its purpose is learning: it is not a production library you would install in an app, but rather a catalog of well-structured code examples you can study, run, and compare as you learn how algorithms work. The collection covers fundamental computer science topics including sorting algorithms (like quicksort, mergesort, and bubble sort), searching algorithms, graph traversal techniques, data structures such as linked lists, trees, stacks, and queues, ciphers and cryptography basics, and common coding challenge patterns. Each implementation follows StandardJS code style conventions, which means the code is consistent and readable across the entire repository. Many of the algorithms also have explanations in the project's wiki. It is part of the broader TheAlgorithms organization, which maintains equivalent repositories in Python, Java, C, Go, and many other languages, all with the same educational goal. You would use this repository when you are preparing for technical interviews and want to see how a specific algorithm looks in JavaScript, when you are learning computer science concepts for the first time and prefer seeing runnable code over abstract textbook descriptions, or when you are a contributor who wants to practice implementing algorithms while getting code review from experienced maintainers. The repository explicitly welcomes beginner contributions and its maintainers provide feedback to help new contributors get their code merged. Technically, it is a pure JavaScript project (no framework required), tested with a continuous integration pipeline, and open to anyone who wants to learn by reading or writing code. The README is intentionally brief; the real value lives in the code files themselves and the linked wiki pages with algorithm explanations.

Copy-paste prompts

Prompt 1
Show me how to implement a binary search algorithm in JavaScript using the code from TheAlgorithms/JavaScript as a reference.
Prompt 2
I'm preparing for a coding interview. Walk me through the quicksort implementation in TheAlgorithms/JavaScript and explain how it works step by step.
Prompt 3
How would I add a new sorting algorithm to TheAlgorithms/JavaScript? What's the contribution process and code style I need to follow?
Prompt 4
Explain the difference between the depth-first search and breadth-first search implementations in TheAlgorithms/JavaScript with examples.
Prompt 5
I want to understand how linked lists work. Can you help me implement one using the pattern shown in TheAlgorithms/JavaScript?
Open on GitHub → Explain another repo

Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.