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14 repositorios

Awesome GitHub RepositoriesSequence Algorithms

Algorithms for processing and comparing sequential data structures.

Distinct from Standard Library Implementations: Distinct from standard library containers: focuses on algorithmic logic for sequence manipulation like subsequences.

Explore 14 awesome GitHub repositories matching programming languages & runtimes · Sequence Algorithms. Refine with filters or upvote what's useful.

Awesome Sequence Algorithms GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • trekhleb/javascript-algorithmsAvatar de trekhleb

    trekhleb/javascript-algorithms

    196,089Ver en GitHub↗

    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

    Implements bracket balancing algorithms to verify correct nesting and sequence validity.

    JavaScriptalgorithmalgorithmscomputer-science
    Ver en GitHub↗196,089
  • oi-wiki/oi-wikiAvatar de OI-wiki

    OI-wiki/OI-wiki

    26,176Ver en GitHub↗

    This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin

    Shuffles elements within containers or ranges using controlled random sources to ensure unbiased ordering in test datasets.

    TypeScriptacm-icpcacm-icpc-handbookalgorithms
    Ver en GitHub↗26,176
  • xi-editor/xi-editorAvatar de xi-editor

    xi-editor/xi-editor

    19,816Ver en GitHub↗

    xi-editor is a high-performance text editor core written in Rust. It employs a client-server architecture that separates the backend editor logic from the user interface, allowing diverse frontends to communicate with the core via a standardized protocol. The project is distinguished by its use of rope-based text buffers for efficient manipulation of large documents and a collaborative engine powered by conflict-free replicated data types to synchronize concurrent edits. It further features an extensible plugin system that integrates external binaries and third-party tools through JSON-based

    Uses a non-commutative monoid to implement bracket balancing and locate corresponding brackets for the cursor.

    Rust
    Ver en GitHub↗19,816
  • haoel/leetcodeAvatar de haoel

    haoel/leetcode

    18,058Ver en GitHub↗

    This project is a library of source code implementations designed to solve algorithmic challenges and mathematical problems. It serves as a collection of solved LeetCode problems, providing a reference for data structure usage and efficient logic. The repository is a polyglot code collection, implementing the same algorithmic logic across various programming environments, including general-purpose languages, SQL for database queries, and Bash for shell scripting. The content covers a broad range of computational tasks, including data querying, text processing, and the implementation of compl

    Implements a system to replace bracketed keys with corresponding knowledge base values.

    C++
    Ver en GitHub↗18,058
  • nim-lang/nimAvatar de nim-lang

    nim-lang/Nim

    18,071Ver en GitHub↗

    Nim is a statically typed, compiled systems programming language designed for high performance and cross-platform development. It translates high-level source code into C, C++, or JavaScript, allowing developers to produce efficient native binaries or web-compatible scripts from a single codebase. The language emphasizes a clean, indentation-based syntax that simplifies code hierarchy while maintaining the power of a full-featured systems language. What distinguishes Nim is its robust metaprogramming framework, which allows developers to inspect, modify, and generate code structures during th

    Provides utility functions for sorting, searching, and processing sequential data structures.

    Nimcompilerefficienthacktoberfest
    Ver en GitHub↗18,071
  • mission-peace/interviewAvatar de mission-peace

    mission-peace/interview

    11,306Ver en GitHub↗

    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

    Generates permutations, combinations, and interleavings of input elements.

    Java
    Ver en GitHub↗11,306
  • microsoft/vscode-tips-and-tricksAvatar de microsoft

    microsoft/vscode-tips-and-tricks

    9,086Ver en GitHub↗

    This project is a comprehensive productivity guide and configuration reference for the VS Code editor. It provides a curated collection of shortcuts, configuration tips, and tutorials designed to improve efficiency and optimize the daily coding workflow. The resource covers advanced AI-assisted development, including the integration of autonomous agents, custom prompt files, and AI-powered coding assistants for task automation and code generation. It also provides specialized guidance on integrated terminal management, such as configuring shell profiles and automating command execution. Addi

    Guides users on highlighting and jumping between corresponding bracket pairs for easier code navigation.

    Ver en GitHub↗9,086
  • kevin-wayne/algs4Avatar de kevin-wayne

    kevin-wayne/algs4

    7,519Ver en GitHub↗

    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

    Provides a reference implementation of the Fisher-Yates algorithm for uniformly random array shuffling.

    Java
    Ver en GitHub↗7,519
  • sharingsource/logicstack-leetcodeAvatar de SharingSource

    SharingSource/LogicStack-LeetCode

    7,495Ver en GitHub↗

    LogicStack-LeetCode is a curated repository of solved algorithm problems and data structure implementations, primarily drawn from the LeetCode platform. Its core identity is a structured collection of solutions designed to support technical interview preparation and competitive programming practice, with each solution accompanied by complexity analyses to help engineers understand performance trade-offs. The repository distinguishes itself through its breadth of coverage across fundamental algorithmic patterns and data structures. It includes implementations for array manipulation, string pro

    Rearranges array elements into uniformly random permutations using the Fisher-Yates algorithm.

    algorithminterview-practiceinterview-questions
    Ver en GitHub↗7,495
  • xtaci/algorithmsAvatar de xtaci

    xtaci/algorithms

    5,454Ver en GitHub↗

    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

    Implements randomization algorithms such as the Fisher-Yates shuffle for uniform sequence redistribution.

    C++
    Ver en GitHub↗5,454
  • sodiray/radashAvatar de sodiray

    sodiray/radash

    4,845Ver en GitHub↗

    Radash es una librería de utilidades funcionales de TypeScript diseñada para la transformación de datos, validación y gestión de flujos de trabajo. Proporciona una colección de funciones auxiliares tipadas para manipular arrays, objetos y cadenas. El proyecto cuenta con un toolkit de flujo de trabajo asíncrono para gestionar promesas, reintentos y límites de concurrencia, junto con una suite de validadores booleanos para verificar tipos primitivos, objetos y promesas. También implementa patrones de programación funcional como composición de funciones, aplicación parcial y patrones de respuesta de error primero. La librería cubre una amplia superficie de capacidades, incluyendo gestión de estado de objetos con clonación profunda y fusión, manipulaciones complejas de arrays y formateo de cadenas. Adicionalmente proporciona herramientas para la optimización de ejecución, como limitación de tasa (rate limiting) y caché de resultados.

    Provides an array shuffling utility to rearrange elements in a random sequence.

    TypeScriptfunctionshacktoberfestjavascript
    Ver en GitHub↗4,845
  • ericniebler/range-v3Avatar de ericniebler

    ericniebler/range-v3

    4,367Ver en GitHub↗

    This is a C++ ranges library and extension to the Standard Template Library that provides a collection of composable algorithms and lazy views for processing data sequences. It functions as a lazy sequence processing framework and a template meta-programming library for manipulating type lists and performing compile-time type computations. The project enables functional programming patterns in C++ through the use of pipe syntax and partial application to create readable, left-to-right data transformation chains. It allows for the construction of lazy data pipelines that filter and transform e

    Implements standardized sequence algorithms with a unified interface for both iterator pairs and range objects.

    C++
    Ver en GitHub↗4,367
  • chanda-abdul/several-coding-patterns-for-solving-data-structures-and-algorithms-problems-during-interviewsAvatar de Chanda-Abdul

    Chanda-Abdul/Several-Coding-Patterns-for-Solving-Data-Structures-and-Algorithms-Problems-during-Interviews

    4,129Ver en GitHub↗

    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

    Produces all valid combinations of balanced parentheses through recursive tracking of open and closed brackets.

    algorithmscoding-interviewsdata-structures
    Ver en GitHub↗4,129
  • windwp/nvim-autopairsAvatar de windwp

    windwp/nvim-autopairs

    4,051Ver en GitHub↗

    nvim-autopairs es una extensión basada en Lua para Neovim que inserta automáticamente corchetes, comillas y palabras clave de cierre para mantener una sintaxis equilibrada. Funciona como un automatizador de corchetes contextual, utilizando nodos estructurales de Tree-Sitter para determinar cuándo insertar o saltar caracteres de cierre basados en el árbol de sintaxis real del código. El plugin se distingue por utilizar la conciencia de Tree-Sitter para evitar insertar pares dentro de cadenas o comentarios. Admite la resolución dinámica de cadenas de cierre y lógica de emparejamiento personalizada, permitiendo a los usuarios definir reglas específicas utilizando expresiones regulares y filtros de tipo de archivo. Más allá de la inserción básica, la herramienta gestiona la eliminación sincronizada de pares, el ajuste de texto para bloques seleccionados y el formato de bloques de nueva línea. También se integra con motores de autocompletado para automatizar la inserción de caracteres de cierre después de seleccionar una función o método.

    Manages balanced pairs using rules based on filetypes, regular expressions, and cursor position.

    Luaautopairsluaneovim
    Ver en GitHub↗4,051
  1. Home
  2. Programming Languages & Runtimes
  3. Programming Utilities
  4. Standard Libraries
  5. Standard Library Implementations
  6. Sequence Algorithms

Explorar subetiquetas

  • Bracket Balancing Algorithms3 sub-etiquetasAlgorithms for verifying that bracket sequences are correctly nested and balanced. **Distinct from Sequence Algorithms:** Focuses on the specific logic of bracket matching rather than general sequence comparison.
  • Randomization Algorithms1 sub-etiquetaAlgorithms for generating random permutations or shuffling data sequences. **Distinct from Sequence Algorithms:** Distinct from general sequence algorithms: focuses specifically on randomization methods like Fisher-Yates.
  • Sequence Transformation OptimizersAlgorithms for calculating the minimum operations required to transform one sequence into another. **Distinct from Sequence Algorithms:** Distinct from Sequence Algorithms: focuses on transformation optimization specifically.