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Javascript Algorithms

Name: Javascript Algorithms
Author: trekhleb

Algorithms and data structures implemented in JavaScript with explanations and links to further readings

196,469 stars31,046 forksJavaScriptUpdated 7/26/2026100% free · open source

What it does

javascript-algorithms provides a collection of JavaScript implementations of various algorithms and data structures, along with explanations and links to further learning resources

Install / run

git clone https://github.com/trekhleb/javascript-algorithms.git

When to use it

•When you need to implement a specific algorithm or data structure in a JavaScript project
•When you want to learn about different algorithms and data structures and how they can be applied in JavaScript
•When you need a reference implementation of an algorithm or data structure for testing or comparison purposes

Quick start

1Explore the README.md file to get an overview of the available algorithms and data structures
2Open the src directory to find the implementation of a specific algorithm, such as src/algorithms/searching/linear-search.js
3Run a specific algorithm using Node.js, for example: node src/algorithms/searching/linear-search.js
4Check out the docs directory for more detailed documentation and explanations of the algorithms and data structures
5Use the provided test cases in the test directory to verify the correctness of the implementations

Ready-to-paste prompt

node src/algorithms/sorting/quick-sort.js --array=[3,6,1,8,2,4] --verbose

Heads up: Make sure you have Node.js installed on your system, as the algorithms are implemented in JavaScript and require a JavaScript runtime environment to run

Saves to your device

Topics

algorithm

algorithms

computer-science

data-structures

interview

interview-preparation

javascript

javascript-algorithms

How Javascript Algorithms works

Codeflow

Free to inspect

Javascript Algorithms is a large JavaScript project (~19k lines across 361 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit a month ago, MIT license, has a test suite.

Size

Large codebase

~19k lines · 361 code files · ~3 h to skim

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Node.js

No API keys detected

JavaScript 100%

Where to start reading