Analysis updated 2026-06-20
Study a specific sorting or searching algorithm in JavaScript before a technical interview.
Learn how data structures like linked lists, trees, and queues work by reading runnable code examples.
Practice contributing to open source by implementing an algorithm and getting code review from maintainers.
| thealgorithms/javascript | zenorocha/clipboard.js | qishibo/anotherredisdesktopmanager | |
|---|---|---|---|
| Stars | 34,153 | 34,159 | 34,242 |
| Language | JavaScript | JavaScript | JavaScript |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 1/5 | 1/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
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.
A learning catalog of hundreds of algorithms and data structures implemented in clean JavaScript, for interview prep, computer science study, and beginner contributors.
Mainly JavaScript. The stack also includes JavaScript.
License information is not mentioned in the explanation.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.