# JavaScript Algorithms and Data Structures

> Search results for `algorithms and data structures explained in JavaScript` on awesome-repositories.com. 104 total matches; showing the first 50.

Explore on the web: https://awesome-repositories.com/q/algorithms-and-data-structures-explained-in-javascript

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## Results

- [amejiarosario/dsa.js-data-structures-algorithms-javascript](https://awesome-repositories.com/repository/amejiarosario-dsa-js-data-structures-algorithms-javascript.md) (7,768 ⭐) — This project is a computer science educational resource and library providing implementations of data structures and algorithms in JavaScript. It serves as an algorithm implementation reference and a toolkit for building foundational data containers, including a collection of sorting algorithms and a guide for learning time and space complexity.

The project differentiates itself by pairing class-based implementations with Big O analysis to illustrate asymptotic complexity. It includes a non-linear data structure toolkit featuring self-balancing trees, hash maps, and graphs, alongside comparis
- [jamiebuilds/itsy-bitsy-data-structures](https://awesome-repositories.com/repository/jamiebuilds-itsy-bitsy-data-structures.md) (8,577 ⭐) — itsy-bitsy-data-structures is a collection of fundamental computer science data structures implemented in JavaScript. It serves as an educational resource and algorithm study guide, providing simplified code implementations of classic data organization patterns to demonstrate internal logic and usage.

The project provides clear and concise JavaScript implementations of stacks, queues, and linked lists. These examples are designed for learning, technical interview preparation, and studying the mechanical behavior of core data structures through code.

The implementations utilize various comput
- [leonardomso/33-js-concepts](https://awesome-repositories.com/repository/leonardomso-33-js-concepts.md) (66,467 ⭐) — This project is a comprehensive educational repository designed to help developers master the core mechanics, runtime behaviors, and browser-native capabilities of the JavaScript language. It provides a structured knowledge base that covers fundamental language features, such as prototype-based inheritance and event-loop-based concurrency, alongside advanced topics like JIT-compiled execution and memory management.

The repository distinguishes itself by offering deep-dive technical guides that bridge the gap between abstract language concepts and practical browser implementation. It features
- [mgechev/javascript-algorithms](https://awesome-repositories.com/repository/mgechev-javascript-algorithms.md) (7,827 ⭐) — This project is a JavaScript algorithm library and computer science reference. It provides a collection of standard computational logic patterns and data structure implementations, including linked lists, trees, and graphs, for both educational and practical use.

The codebase serves as a technical interview study guide, offering a practical resource for practicing common coding challenges and data structure manipulations. It is designed for computer science education, allowing users to study how classic algorithms work by reviewing and running implementations of established logic patterns.

T
- [cp-algorithms/cp-algorithms](https://awesome-repositories.com/repository/cp-algorithms-cp-algorithms.md) (10,805 ⭐) — This project is a comprehensive reference for algorithms and data structures used to solve complex computational problems in competitive programming. It serves as a technical resource for implementing advanced mathematical programming, computational geometry, and graph theory.

The repository provides detailed implementation guides for diversifying algorithmic techniques, including top-down and bottom-up dynamic programming optimization, number theory, and linear algebra. It features specific guides for complex tasks such as constructing planar graphs, solving linear Diophantine equations, and
- [chanda-abdul/several-coding-patterns-for-solving-data-structures-and-algorithms-problems-during-interviews](https://awesome-repositories.com/repository/chanda-abdul-several-coding-patterns-for-solving-data-structures-and-algorithms-.md) (4,129 ⭐) — This repository is a curated guide and implementation library of coding patterns used to solve data structures and algorithms problems. It serves as a technical interview study resource, providing a comprehensive set of strategies and computational logic examples for optimizing time and space complexity.

The project focuses on standardized algorithmic patterns, including sliding windows, two pointers, and dynamic programming. It features specific implementations for a wide range of challenges, such as LeetCode problem solutions and specialized techniques like cyclic sort and bitwise XOR opera
- [keon/algorithms](https://awesome-repositories.com/repository/keon-algorithms.md) (25,269 ⭐) — This repository is a structured educational archive of classic computer science algorithms and data structures implemented in Python. It serves as a reference library designed for study and technical skill development, providing clean, readable examples of fundamental computational techniques rather than production-ready software components.

The project distinguishes itself through its idiomatic approach, utilizing native language features and standard library conventions to demonstrate algorithmic logic clearly. Each implementation is organized into a hierarchical directory structure that mi
- [humanwhocodes/computer-science-in-javascript](https://awesome-repositories.com/repository/humanwhocodes-computer-science-in-javascript.md) (9,119 ⭐) — This is a collection of classic computer science algorithms and data structures implemented from scratch in JavaScript. The project provides reference implementations of fundamental concepts including sorting algorithms, binary search, linked lists, and binary search trees, all built as standalone pure functions with no external dependencies.

The implementations cover a range of data structures, including singly-linked, doubly-linked, and circular linked lists with full traversal and mutation operations, as well as binary search trees supporting insertion, deletion, and search. Sorting algori
- [trekhleb/javascript-algorithms](https://awesome-repositories.com/repository/trekhleb-javascript-algorithms.md) (196,089 ⭐) — This repository is a comprehensive collection of data structures and algorithms implemented in JavaScript, designed primarily as an educational resource for computer science study and technical interview preparation. It provides modular implementations of fundamental programming concepts, allowing developers to explore algorithmic logic and data organization through self-contained, verifiable code examples.

The library distinguishes itself by pairing every implementation with formal Big O notation, providing predictable insights into time and space scaling requirements. Each algorithm is stru
- [raywenderlich/swift-algorithm-club](https://awesome-repositories.com/repository/raywenderlich-swift-algorithm-club.md) (29,101 ⭐) — This project is a computer science educational resource and a library of common data structures and algorithms implemented in Swift. It serves as a practical reference for studying complexity and efficiency through solved algorithmic problems and conceptual guides.

The collection includes implementations of linear and hierarchical data structures, such as stacks, queues, linked lists, and trees. It covers a wide range of computational patterns, including graph and pathfinding implementations, mathematical numerical methods, and data compression techniques.

The project also provides implement
- [thealgorithms/javascript](https://awesome-repositories.com/repository/thealgorithms-javascript.md) (34,180 ⭐) — This project is an educational code repository providing a curated collection of common algorithms and data structures implemented in JavaScript. It serves as a reference library and a study resource for learning computer science concepts and foundational programming principles.

The repository focuses on the practical implementation of standard data structures and algorithmic patterns. It provides a codebase for studying computational problem-solving and practicing the technical requirements often found in software engineering interviews.

The codebase covers core data structure implementatio
- [kodecocodes/swift-algorithm-club](https://awesome-repositories.com/repository/kodecocodes-swift-algorithm-club.md) (29,099 ⭐) — This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples.

The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to
- [greyireland/algorithm-pattern](https://awesome-repositories.com/repository/greyireland-algorithm-pattern.md) (15,465 ⭐) — This project is an algorithm template library and coding interview study guide providing reusable code patterns for common data structures and algorithms. It serves as a reference for optimized strategies and a structured learning path to build proficiency in algorithmic problem solving and competitive programming.

The library focuses on standardized implementations of key algorithmic patterns, including sliding windows, backtracking, dynamic programming, and binary search. It provides specific templates for managing binary search trees, searching rotated sorted arrays, and executing divide-a
- [airbnb/javascript](https://awesome-repositories.com/repository/airbnb-javascript.md) (148,081 ⭐) — This project provides a comprehensive set of coding standards and style guidelines for JavaScript development. It covers fundamental language syntax, formatting conventions, and best practices for managing variables, functions, objects, and modern language features. The documentation serves as a reference for maintaining consistent code quality across projects.

In addition to general language standards, the guide includes specific conventions for building and organizing user interface components. These guidelines address structural patterns, component lifecycle management, and stylistic rules
- [thealgorithms/java](https://awesome-repositories.com/repository/thealgorithms-java.md) (65,843 ⭐) — This project is an educational repository containing a comprehensive collection of classic computer science algorithms and data structures implemented in Java. It serves as a community-driven learning resource designed to help students and developers study fundamental computational problems and practice idiomatic syntax through clean, well-documented code examples.

The repository distinguishes itself by using decoupled logic encapsulation, which isolates individual algorithmic implementations into independent classes to ensure modularity. It further enforces standardized method signatures acr
- [avelino/awesome-go](https://awesome-repositories.com/repository/avelino-awesome-go.md) (175,576 ⭐) — This project serves as a comprehensive language ecosystem index, functioning as a centralized, community-curated directory for the Go programming language. It organizes a vast landscape of software components, libraries, and development tools into a structured, navigable hierarchy, enabling developers to efficiently discover resources tailored to specific functional domains.

The repository distinguishes itself through a decentralized contribution model, where community-driven updates ensure the index remains current with the rapidly evolving software landscape. Beyond simple resource listing,
- [erikrhanson/problem-solving-with-algorithms-and-data-structures-using-python](https://awesome-repositories.com/repository/erikrhanson-problem-solving-with-algorithms-and-data-structures-using-python.md) (330 ⭐) — Problem-Solving-with-Algorithms-and-Data-Structures-Using-Python
- [kdn251/interviews](https://awesome-repositories.com/repository/kdn251-interviews.md) (64,941 ⭐) — This project serves as a centralized knowledge base and study guide for mastering computer science fundamentals and technical interview preparation. It provides a structured collection of algorithmic implementations, data structure guides, and theoretical references designed to support professional development and problem-solving skills.

The repository distinguishes itself through a taxonomy-based organization that maps complex concepts into a hierarchical structure. It standardizes the expression of abstract data structures and algorithms using a consistent programming language, with impleme
- [kamranahmedse/developer-roadmap](https://awesome-repositories.com/repository/kamranahmedse-developer-roadmap.md) (357,434 ⭐) — Developer Roadmap is a community-driven platform that provides structured, graph-based learning paths for software engineering. It serves as a comprehensive knowledge repository where technical domains are organized into visual sequences to guide professional skill acquisition and career growth.

The project distinguishes itself through a collaborative ecosystem that enables users to contribute roadmaps, curate industry best practices, and maintain professional profiles. It integrates diagnostic assessment frameworks to evaluate technical proficiency, helping developers identify knowledge gaps
- [labuladong/fucking-algorithm](https://awesome-repositories.com/repository/labuladong-fucking-algorithm.md) (134,160 ⭐) — 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 gu
- [sirherrbatka/cl-data-structures](https://awesome-repositories.com/repository/sirherrbatka-cl-data-structures.md) (51 ⭐) — Data Structures and streaming algorithms for Common Lisp.
- [krahets/leetcode-book](https://awesome-repositories.com/repository/krahets-leetcode-book.md) (8,072 ⭐) — LeetCode-Book is a curated study resource and markdown algorithm guide designed for technical interview preparation. It serves as a multi-language code library that provides solutions and explanations for coding challenges to help users study data structures and algorithmic principles.

The project is delivered as a Docusaurus documentation website, which transforms a directory of version-controlled markdown files into a structured and searchable online technical resource.

The repository covers an algorithm study workflow that includes tracking LeetCode problems and following curated study pl
- [ignacio-chiazzo/algorithms-leetcode-javascript](https://awesome-repositories.com/repository/ignacio-chiazzo-algorithms-leetcode-javascript.md) (747 ⭐) — Algorithms resolution in Javascript. Leetcode - Geeksforgeeks - Careercup
- [fffaraz/awesome-cpp](https://awesome-repositories.com/repository/fffaraz-awesome-cpp.md) (71,817 ⭐) — This project is a comprehensive, curated directory of high-quality libraries, tools, and educational resources for C and C++ development. It serves as an ecosystem discovery index, helping developers navigate the vast landscape of third-party components, frameworks, and technical documentation available for the language.

The collection is distinguished by its focus on high-performance systems programming and technical mastery. It provides deep coverage of specialized domains including SIMD-accelerated data processing, compile-time template metaprogramming, and asynchronous event-driven archit
- [azl397985856/leetcode](https://awesome-repositories.com/repository/azl397985856-leetcode.md) (55,758 ⭐) — This project is a curated educational resource and solution repository for algorithmic challenges, specifically focused on LeetCode problems. It serves as a technical reference for common data structures and algorithmic patterns, providing verified code implementations across multiple programming languages alongside detailed logic and complexity analysis.

The repository functions as a comprehensive study guide for competitive programming and technical interview preparation. It includes specialized learning tools such as an Anki flashcard dataset for spaced repetition and a browser extension t
- [seanprashad/leetcode-patterns](https://awesome-repositories.com/repository/seanprashad-leetcode-patterns.md) (11,410 ⭐) — This project is a structured study guide and repository designed to assist with technical interview preparation. It organizes coding problems into a taxonomy based on shared algorithmic strategies, allowing users to master fundamental computer science concepts through a curated learning path.

The resource emphasizes pattern recognition by mapping specific problem constraints to optimal data structures and computational approaches. By categorizing challenges according to their underlying logic, it enables a systematic approach to developing problem-solving skills for technical assessments.

Th
- [denoland/deno](https://awesome-repositories.com/repository/denoland-deno.md) (107,110 ⭐) — Deno is a high-performance runtime for JavaScript and TypeScript that prioritizes security and developer productivity. Built on the V8 engine, it provides a secure execution environment that enforces a default-deny security model, requiring explicit user authorization for access to system resources like the file system, network, and environment variables. The runtime natively supports modern web-standard APIs, ensuring consistent behavior and portability across different environments.

What distinguishes Deno is its integrated approach to the software development lifecycle. It bundles essentia
- [jeffgerickson/algorithms](https://awesome-repositories.com/repository/jeffgerickson-algorithms.md) (8,050 ⭐) — This project is an algorithm courseware repository and academic resource portal. It serves as a digital archive for algorithm textbooks, providing access to complete manuscripts, individual chapters, and educational materials focused on computer science fundamentals and algorithm design.

The repository includes a dedicated errata tracking system to record publication errors and corrections. This system allows for the monitoring of updates made to the academic texts since their official release to ensure the accuracy of the information.

The platform distributes a variety of supplemental cours
- [xtaci/algorithms](https://awesome-repositories.com/repository/xtaci-algorithms.md) (5,454 ⭐) — Algorithms & Data structures in C++.
- [alireza-fa/data-structures-python](https://awesome-repositories.com/repository/alireza-fa-data-structures-python.md) (13 ⭐) — 1-Data Structures
- [rust-lang/rustlings](https://awesome-repositories.com/repository/rust-lang-rustlings.md) (63,325 ⭐) — Rustlings is a command-line learning tool designed to build language proficiency through a structured, interactive curriculum. It functions as a practice-oriented platform where users master syntax and core concepts by resolving compilation errors within a sequence of small, incremental code exercises.

The environment distinguishes itself by utilizing a compiler-driven feedback loop that parses error messages to provide targeted hints for fixing logic and syntax issues. Progress is managed through a file-based system where users modify incomplete source templates, which are then verified agai
- [google-research/google-research](https://awesome-repositories.com/repository/google-research-google-research.md) (38,139 ⭐) — This repository serves as a comprehensive research platform and toolkit for advancing machine learning, quantum computing, and large-scale scientific data analysis. It provides foundational frameworks for developing complex algorithmic systems, offering the necessary infrastructure for distributed training, computational graph execution, and high-performance model development.

The project distinguishes itself by integrating specialized research domains with robust, privacy-preserving methodologies. It supports diverse scientific discovery through tools for quantum simulation, physics-informed
- [kanwei/algorithms](https://awesome-repositories.com/repository/kanwei-algorithms.md) (2,698 ⭐) — Ruby algorithms and data structures. C extensions
- [ebtech/rust-algorithms](https://awesome-repositories.com/repository/ebtech-rust-algorithms.md) (3,972 ⭐) — Common data structures and algorithms in Rust
- [prestodb/presto](https://awesome-repositories.com/repository/prestodb-presto.md) (16,711 ⭐) — Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface.

The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing
- [careercup/ctci-6th-edition](https://awesome-repositories.com/repository/careercup-ctci-6th-edition.md) (11,463 ⭐) — This repository is a collection of solved algorithmic problems and data structure exercises designed for technical interview preparation. It serves as a polyglot reference implementation, providing a set of solved exercises based on a standard textbook to help candidates master the logic and complexity analysis required for coding tests.

The project implements the same algorithmic logic across multiple programming languages to demonstrate platform-independent problem solving. This polyglot approach allows for the comparison of implementations across different tech stacks to highlight recurrin
- [javascript-tutorial/en.javascript.info](https://awesome-repositories.com/repository/javascript-tutorial-en-javascript-info.md) (25,344 ⭐) — This project is a comprehensive JavaScript programming tutorial and language reference. It serves as a web development education resource providing instruction on modern language fundamentals, object-oriented design, and advanced asynchronous programming patterns.

The resource functions as both a frontend development guide and a technical reference. It covers core language features such as closures, prototypes, promises, and typed arrays, while providing practical lessons on managing browser data and handling network requests.

The content spans several key capability areas, including browser
- [youngyangyang04/leetcode-master](https://awesome-repositories.com/repository/youngyangyang04-leetcode-master.md) (61,690 ⭐) — This project is a comprehensive algorithmic interview resource and coding practice repository. It provides a structured curriculum of programming challenges and source code implementations designed to help software engineers master efficient problem-solving techniques and prepare for technical assessments.

The repository functions as a curated roadmap, organizing computer science fundamentals by data structure and algorithm topic to facilitate systematic skill development. By moving away from random practice, it supports career advancement training for those seeking to improve their professio
- [fragglet/c-algorithms](https://awesome-repositories.com/repository/fragglet-c-algorithms.md) (3,597 ⭐) — A library of common data structures and algorithms written in C.
- [chefyuan/algorithm-base](https://awesome-repositories.com/repository/chefyuan-algorithm-base.md) (10,702 ⭐) — algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works.

The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec
- [pola-rs/polars](https://awesome-repositories.com/repository/pola-rs-polars.md) (38,855 ⭐) — Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters.

The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e
- [aggelgian/erlang-algorithms](https://awesome-repositories.com/repository/aggelgian-erlang-algorithms.md) (160 ⭐) — Implementations of popular data structures and algorithms
- [krahets/hello-algo](https://awesome-repositories.com/repository/krahets-hello-algo.md) (127,271 ⭐) — This project is an educational resource and reference library designed to teach fundamental data structures and algorithmic problem-solving. It provides a structured pedagogical framework that organizes complex technical concepts into a logical progression, helping learners understand how data is organized, stored, and processed to solve computational problems efficiently.

The repository distinguishes itself through a multi-language codebase that maintains parallel, consistent implementations of core algorithms and data structures across various programming languages. It bridges the gap betwe
- [n8n-io/n8n](https://awesome-repositories.com/repository/n8n-io-n8n.md) (192,772 ⭐) — n8n is a workflow automation platform that combines a visual interface with code-based extensibility to design, orchestrate, and manage automated processes. It provides a comprehensive suite of tools for data transformation, filtering, and storage, allowing users to build complex logic through conditional branching, looping, and sub-workflow execution. The platform supports both pre-built integration nodes and custom code execution in JavaScript or Python, enabling connectivity with a wide range of external services and APIs.

The platform includes a suite of generative AI capabilities, such a
- [retejs/rete](https://awesome-repositories.com/repository/retejs-rete.md) (12,077 ⭐) — Rete is a framework for building interactive, node-based visual interfaces and dataflow programming environments. It provides a core engine that processes directed graphs, allowing developers to define modular logic where nodes represent operations and connections represent the flow of data or control. By decoupling the graph logic from the user interface, the framework enables the creation of custom visual editors that can be integrated into various frontend component libraries.

The project distinguishes itself through a highly extensible, signal-driven architecture that supports complex req
- [aosabook/500lines](https://awesome-repositories.com/repository/aosabook-500lines.md) (29,582 ⭐) — This project is a software engineering educational resource providing a collection of canonical system implementations. It serves as a library of computer science case studies and polyglot code examples designed to demonstrate architectural tradeoffs and design patterns through concise versions of fundamental software components.

The repository focuses on studying the implementation of core concepts such as consensus algorithms, interpreters, and database engines. It provides minimal versions of complex systems to facilitate the analysis of language design, data structure implementation, and
- [nushell/nushell](https://awesome-repositories.com/repository/nushell-nushell.md) (39,743 ⭐) — Nushell is a cross-platform shell and programming language designed to treat all input and output as structured data rather than raw text streams. By enforcing data types and command signatures, it provides a consistent environment for building robust, pipeline-oriented workflows. The shell allows users to chain commands that pass structured objects between stages, enabling complex data processing and automation tasks that remain predictable across different operating systems.

What distinguishes the project is its focus on interactive data exploration and modular extensibility. Users can quer
- [taizilongxu/interview_python](https://awesome-repositories.com/repository/taizilongxu-interview-python.md) (17,316 ⭐) — This project is a comprehensive reference library and preparation guide for Python technical interviews. It combines theoretical guides on computer science fundamentals and language runtime internals with practical implementation examples of algorithms and data structures.

The repository serves as a curated knowledge base that maps theoretical interview questions to concrete code snippets. It provides technical analysis of Python language internals, including memory management, garbage collection, and the global interpreter lock, alongside a library of creational and structural software desig
- [kennymkchan/interview-questions-in-javascript](https://awesome-repositories.com/repository/kennymkchan-interview-questions-in-javascript.md) (3,627 ⭐) — A mostly reasonable collection of technical software development interview questions solved in Javascript
- [bagder/http2-explained](https://awesome-repositories.com/repository/bagder-http2-explained.md) (2,313 ⭐) — http2 explained