Open-source alternatives to Javascript Datastructures Algorithms

AlgorithmsByPython is a reference library and educational repository providing runnable Python implementations of computer science fundamentals. It serves as a comprehensive guide for algorithmic patterns, core data structures, and solutions for competitive programming and technical interview challenges. The project distinguishes itself by offering a wide array of reference implementations, including a dedicated set of solutions for common LeetCode problems. It focuses on translating theoretical computational logic into practical Python code for educational and practical use. The repository

This project is an educational resource providing a structured curriculum for mastering fundamental computer science concepts, algorithmic logic, and data structure implementation using Python. It serves as a comprehensive tutorial for understanding how to organize information effectively and solve complex computational challenges through systematic programming techniques. The repository focuses on the practical application of core data structures, including arrays, linked lists, hash tables, stacks, queues, and trees. It emphasizes the development of algorithmic problem-solving skills by cov

This project is a comprehensive suite of Java-based implementations for standard computer science algorithms, data structures, graph analysis, and mathematical computations. It provides a collection of reference implementations for fundamental data containers, including trees, heaps, maps, tries, and lists, alongside common sorting and searching routines. The library includes a specialized suite for graph network analysis, covering shortest paths, minimum spanning trees, and maximum flow. It also provides mathematical utilities for prime testing, modular arithmetic, and Fast Fourier Transform

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

This repository serves as a comprehensive educational resource and technical reference for implementing fundamental data structures and algorithms using JavaScript. It provides a structured guide to mastering core computer science concepts, focusing on the practical application of data organization techniques and problem-solving strategies within the JavaScript ecosystem. The materials cover the implementation of essential storage patterns, including linked lists, trees, and graphs, alongside the analysis of algorithmic efficiency. By evaluating execution time and memory usage through asympto

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

This repository provides a collection of verified implementations for fundamental data structures and computational algorithms. It serves as both a practical toolkit for integrating standard procedures into software applications and a reference for understanding core computer science concepts. The library covers a wide range of operations, including sorting, searching, graph traversal, and geometric analysis. Each implementation is designed to be modular and reusable, utilizing generic type parametrization to decouple logic from specific data types while maintaining type safety. The project

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

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

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

This project is a comprehensive knowledge base and study resource designed for mastering technical interviews. It provides structured guides, roadmaps, and curricula focused on data structures, algorithms, system design, and frontend engineering to help candidates prepare for software engineering screenings. The repository distinguishes itself by offering a holistic approach to professional advancement. Beyond technical drills, it includes a career development handbook covering resume optimization, salary benchmarking, and strategic negotiation coaching. It also provides detailed methodologie

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

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

This repository provides a collection of fundamental data structures implemented in Java, designed to serve as an educational resource for understanding core computer science concepts. It includes standard implementations of trees, graphs, queues, and heaps, intended to help developers study the internal mechanics and performance characteristics of these structures. The library emphasizes the use of generics to maintain type safety across different data types and utilizes interface-driven design to ensure consistent method signatures. By building these components from scratch, the project dem

This repository is a collection of common computer science algorithms and data structures implemented across multiple programming languages. It serves as an educational resource for students and developers to study fundamental computational logic and software engineering patterns through practical, version-controlled code examples. The project distinguishes itself by decoupling abstract problem definitions from their specific language implementations. This structure allows for direct cross-language comparison, enabling users to analyze how different syntax and programming paradigms handle ide

This project is a comprehensive reference guide for computer science fundamentals, providing structured summaries of essential data structures and algorithmic principles. It serves as a technical resource for developers to review core programming concepts, memory layouts, and operational characteristics required for software development and technical assessments. The collection distinguishes itself by offering concise, implementation-focused documentation for a wide range of standard techniques. It covers the mechanics of various sorting and searching algorithms, graph and tree traversal stra

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

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

CLRS is an algorithm implementation library and reference providing code solutions for the classic computer science problems and theoretical concepts found in Introduction to Algorithms. It serves as a computer science study guide and a set of textbook exercise solutions used for academic study and the verification of time and space complexity. The project is a multi-language algorithm library, implementing theoretical algorithms across several programming languages to demonstrate cross-language application and behavior. This approach allows for the study of different memory management and sy

This repository is a collection of fundamental data structures and computational algorithms implemented in Python. It serves as a structured resource for developers to practice core computer science concepts and master the logic required for technical coding assessments. The project emphasizes the manual implementation of standard components from scratch, allowing users to internalize the mechanics of memory management and information storage. By recreating these structures and algorithms without relying on high-level abstractions or external dependencies, the code demonstrates the underlying

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.

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

This repository serves as a comprehensive library for algorithmic problem solving, providing reference implementations for fundamental computer science challenges. It is designed as a resource for technical interview preparation and competitive programming training, focusing on the mastery of common patterns and data structures required for coding assessments. The project distinguishes itself by offering solutions that emphasize idiomatic Python usage and performance optimization. It covers a wide range of algorithmic techniques, including greedy selection, dynamic programming, graph theory,

This repository is a comprehensive educational resource for mastering fundamental computer science concepts through Python. It provides a structured collection of source code implementations for classic data structures and algorithms, serving as a practical guide for building technical proficiency and preparing for coding interviews. The project distinguishes itself by integrating visual aids and diagrams that map complex execution steps to clarify how data structures function. This visual approach is paired with a rigorous automated unit testing framework, which validates the correctness of

CS-Xmind-Note is a collection of structured mind maps and conceptual diagrams serving as a comprehensive knowledge base for computer science fundamentals. It functions as an academic reference and study guide, organizing core subjects into a visual mapping of interdependent technical concepts. The project utilizes an XMind-compatible schema to model complex domains through hierarchical nodes and relational concept mapping. This approach allows for the visual representation of technical layers, linking hardware specifications to software abstractions. The knowledge base covers several primary

This project serves as an educational resource for mastering fundamental computer science algorithms and data structures. It functions as a learning platform that combines code examples with instructional content to help developers and students build a foundation in programming logic and computational thinking. The repository distinguishes itself through a visual-first pedagogical approach, utilizing high-resolution diagrams to map abstract algorithmic logic into concrete mental representations. These materials are structured to support instructors in classroom settings while providing learne

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