# Data structures algorithms

> AI-ranked search results for `algorithms data structures` on awesome-repositories.com — ordered by an LLM for relevance, best match first. 76 total matches; showing the top 30.

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

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [this search on awesome-repositories.com](https://awesome-repositories.com/q/algorithms-data-structures).**

## 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
- [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
- [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
- [kevin-wayne/algs4](https://awesome-repositories.com/repository/kevin-wayne-algs4.md) (7,519 ⭐) — algs4 is a Java data structures library and algorithm reference collection designed as the source code for a standard computer science textbook curriculum. It provides a comprehensive suite of fundamental implementations for sorting, searching, and core data organization.

The project serves as a graph theory framework, offering tools for representing directed and undirected graphs and performing complex traversals and pathfinding. It also includes a broad sorting algorithm suite and a specialized library of Java data structures, including stacks, queues, priority queues, and symbol tables.

I
- [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
- [thealgorithms/python](https://awesome-repositories.com/repository/thealgorithms-python.md) (221,992 ⭐) — This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programming concepts, allowing users to study the logic and complexity behind various computational methods.

The repository distinguishes itself through a modular, reference-based implementation pattern that organizes code into logical namespaces. This approach facilitates independent ex
- [aalhour/c-sharp-algorithms](https://awesome-repositories.com/repository/aalhour-c-sharp-algorithms.md) (6,159 ⭐) — This project is a C# algorithms library and collection of data structures. It serves as a computer science reference providing practical implementations of classic sorting, searching, and graph traversal patterns.

The library includes a dedicated string processing toolkit for analyzing text similarity, computing edit distances, and managing prefix-based searches. It also features a graph theory implementation for modeling network relationships and calculating shortest paths.

The codebase covers a broad range of capabilities, including the management of linear and hierarchical collections, tr
- [wangzheng0822/algo](https://awesome-repositories.com/repository/wangzheng0822-algo.md) (23,159 ⭐) — This project is a data structures and algorithms library providing a collection of fifty standard code implementations for managing data and solving common computational problems. It serves as an algorithm implementation reference and study resource for educational use.

The codebase covers graph theory implementations for modeling networks and performing searches, as well as string pattern matching libraries for the retrieval of character sequences. It includes a collection of hierarchical data structures, such as binary search trees and priority heaps, and provides optimized solutions for dy
- [xtaci/algorithms](https://awesome-repositories.com/repository/xtaci-algorithms.md) (5,454 ⭐) — This is a collection of classical algorithms and data structures implemented as a header-only C++ library. It provides a suite of tools for general algorithm implementation, including data structure management, graph theory analysis, and string processing.

The library is distinguished by its specialized toolkits for cryptographic hashing and encoding, featuring implementations of MD5, SHA-1, and Base64. It also includes advanced capabilities for high-performance string processing via suffix trees and arrays, as well as computational number theory for primality testing and arbitrary-precision
- [thealgorithms/c-plus-plus](https://awesome-repositories.com/repository/thealgorithms-c-plus-plus.md) (34,361 ⭐) — This project is an educational repository and collection of algorithms implemented in C++. It provides a structured set of code examples covering mathematics, computer science, and physics for reference and learning.

The collection includes implementations of data structures for managing hierarchical and linear data, such as binary search trees and AVL trees. It also features simulations of computer science concepts, including CPU scheduling and the resolution of combinatorial puzzles.

The repository further covers cryptographic examples through the implementation of classic encryption and e
- [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
- [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
- [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
- [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
- [mission-peace/interview](https://awesome-repositories.com/repository/mission-peace-interview.md) (11,306 ⭐) — This project is a comprehensive library of reference implementations for fundamental data structures and algorithms, designed to support technical interview preparation and software engineering assessments. It provides a structured collection of computational techniques for solving complex problems involving arrays, strings, graphs, trees, and mathematical analysis.

The library distinguishes itself by offering specialized implementations for advanced topics, including concurrent programming patterns and geometric algorithms. It features thread-safe primitives for managing shared state and tas
- [thealgorithms/rust](https://awesome-repositories.com/repository/thealgorithms-rust.md) (25,875 ⭐) — This project is an algorithm implementation reference and educational resource providing a library of common computer science algorithms implemented in Rust. It serves as a codebase for learning data structures and algorithmic logic through practical, executable examples.

The collection is designed for computer science education and rust language proficiency, allowing users to study computational patterns and solve programming challenges. It provides a reference for those practicing competitive programming or seeking to understand how to apply Rust idioms to standard algorithmic logic.
- [coells/100days](https://awesome-repositories.com/repository/coells-100days.md) (7,488 ⭐) — This project is a comprehensive collection of computer science implementations and an algorithm tutorial repository. It serves as a study guide and reference for competitive programming, providing executable code examples that demonstrate fundamental algorithmic problem solving and mathematical computation.

The library covers a wide range of specialized domains, including cryptography and security primitives, lossless data compression techniques, and computational geometry for spatial analysis. It also features implementations of machine learning models, linear algebra operations, and formal
- [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
- [kelvins/algorithms-and-data-structures](https://awesome-repositories.com/repository/kelvins-algorithms-and-data-structures.md) (1,084 ⭐) — This repository is a collection of fundamental computer science algorithms and data structures designed for educational and reference purposes. It provides a multi-language library of verified implementations for common computational patterns, serving as a resource for developers to study and apply standard logic to software engineering problems.

The project distinguishes itself by offering modular, language-agnostic models that demonstrate how to implement essential storage patterns and classic algorithms. By providing implementations for tasks such as graph traversal, searching, and sorting
- [doocs/leetcode](https://awesome-repositories.com/repository/doocs-leetcode.md) (36,161 ⭐) — This project is a comprehensive algorithmic learning repository and competitive programming archive designed to support technical interview preparation and software engineering skill development. It provides a structured collection of verified solutions and implementation patterns, enabling developers to master fundamental computer science concepts through systematic practice and study.

The repository distinguishes itself through a solution-centric structure that organizes source code by problem category, algorithm type, and data structure. By mapping specific coding challenges to recurring a
- [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
- [thepranaygupta/data-structures-and-algorithms](https://awesome-repositories.com/repository/thepranaygupta-data-structures-and-algorithms.md) (1,257 ⭐) — This repository is a collection of fundamental computer science concepts and algorithmic implementations designed to serve as an educational resource. It provides a structured library of code that demonstrates universal computational patterns and data structure behaviors across multiple programming languages.

The project is organized to facilitate learning through clear, readable reference implementations that prioritize pedagogical clarity over performance optimization. By grouping coding challenges according to underlying algorithmic techniques, the repository helps users identify recurring
- [opengenus/cosmos](https://awesome-repositories.com/repository/opengenus-cosmos.md) (13,718 ⭐) — Cosmos is a comprehensive collection of fundamental computational algorithms and data structures implemented in C++. It serves as an educational resource and reference library, providing structured source code examples for core computer science concepts including sorting, searching, graph theory, and dynamic programming.

The project is designed for modularity and ease of integration, utilizing a header-only distribution model that allows developers to incorporate specific algorithms without complex build dependencies. By employing template-based generic programming and namespace-scoped organi
- [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
- [thealgorithms/c](https://awesome-repositories.com/repository/thealgorithms-c.md) (22,153 ⭐) — This project is a comprehensive library of fundamental computer science algorithms and data structures implemented in C. It provides a collection of modular, portable code blocks designed for educational purposes and integration into production software, focusing on procedural execution and direct hardware interaction.

The library distinguishes itself through a focus on low-level systems programming, offering memory-efficient implementations of stacks, queues, linked lists, and trees. It includes specialized suites for cryptographic data protection, audio signal processing, and network commun
- [thealgorithms/go](https://awesome-repositories.com/repository/thealgorithms-go.md) (18,085 ⭐) — This repository serves as a comprehensive collection of standard computer science algorithms and data structures implemented in the Go programming language. It functions as an educational resource for developers to study idiomatic code examples and master fundamental computational logic through practical, hands-on implementation.

The project provides a reference for building and utilizing essential storage containers, such as linked lists, heaps, and hash maps, to organize information efficiently. It also includes a suite of proven mathematical algorithms for performing complex numerical calc
- [thealgorithms/typescript](https://awesome-repositories.com/repository/thealgorithms-typescript.md) (2,846 ⭐) — Algorithms and Data Structures implemented in TypeScript for beginners, following best practices.
- [ua-nick/data-structures-and-algorithms](https://awesome-repositories.com/repository/ua-nick-data-structures-and-algorithms.md) (2,773 ⭐) — This repository is a collection of fundamental data structures and classic algorithms implemented in Go, designed for educational study and technical skill development. It provides a comprehensive library of standard storage primitives and computational procedures intended to demonstrate efficient data organization and logic.

The project distinguishes itself through a focus on core design principles, utilizing language-level type parameters and interface-based polymorphism to maintain type safety and modularity. Implementations rely on iterative logic and direct memory management via pointers
- [theja-m/data-structures-and-algorithms](https://awesome-repositories.com/repository/theja-m-data-structures-and-algorithms.md) (1,656 ⭐) — This repository serves as an educational resource for computer science concepts, providing a collection of fundamental data structures and algorithmic patterns implemented in Python. It functions as a programming reference for developers seeking to understand standard software engineering patterns and data manipulation strategies.

The project focuses on the construction of essential storage formats, including arrays, graphs, hash tables, linked lists, stacks, and queues. It also provides implementations for standard algorithmic techniques such as dynamic programming, recursion, sorting, and g
- [mmc-maodun/data-structure-and-algorithm](https://awesome-repositories.com/repository/mmc-maodun-data-structure-and-algorithm.md) (855 ⭐) — This repository is a collection of fundamental data structures and standard algorithms implemented in C and C++. It serves as a technical reference for understanding and applying core computational patterns, providing verified code examples for tasks such as sorting, searching, and graph traversal.

The project emphasizes low-level systems programming by utilizing manual memory management and pointer-based data linking to organize information. It employs a procedural approach to logic, relying on static type system enforcement to ensure performance and memory safety during the execution of com