269 repositorios
Organized formats and containers used to store, retrieve, and manage collections of data efficiently.
Explore 269 awesome GitHub repositories matching programming languages & runtimes · Data Structures. Refine with filters or upvote what's useful.
React es una biblioteca de JavaScript para crear interfaces de usuario basadas en una arquitectura orientada a componentes y un flujo de datos unidireccional.
Injects new elements at arbitrary positions using spread and slice methods.
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
Details efficient in-memory data containers, including specialized structures like B-trees and bitmaps.
Scikit-learn is a machine learning library for predictive data analysis that provides a collection of algorithms for supervised and unsupervised learning. It functions as a comprehensive toolkit for data preprocessing, dimensionality reduction, and model selection, allowing users to classify data objects, predict continuous values, and cluster similar items based on historical patterns. The project is defined by a unified interface design where objects either learn from data, transform data, or chain these operations into sequential workflows. To ensure performance on large or high-dimensiona
Stores only non-zero values in memory-efficient structures to handle high-dimensional datasets that exceed standard memory capacity.
This project is a structured educational curriculum designed to guide beginners through the fundamental concepts and syntax of the Python programming language. It functions as a self-paced technical training resource, providing a curated path for individuals to acquire core software development skills through a series of daily lessons and practical exercises. The guide distinguishes itself by combining theoretical explanations with hands-on coding tasks that cover the language's dynamic type system, interpreted execution model, and whitespace-based block scoping. It emphasizes the practical a
Demonstrates how to store and manipulate collections of information using key-value pair structures.
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
Outlines the properties and mechanics of heap-based tree structures for efficient priority-based data management.
Git is a distributed version control system and command-line tool designed for tracking changes in source code and coordinating collaborative software development. It functions as a content-addressable storage platform where project data is maintained as immutable objects indexed by cryptographic hashes, ensuring data integrity and efficient deduplication. The system organizes project history as a directed acyclic graph, where each commit serves as a snapshot linked to its parent to create a verifiable timeline of modifications. The architecture distinguishes itself through an index-based sta
Organizes commit snapshots into a directed acyclic graph to maintain a verifiable, non-circular chain of project evolution.
FFmpeg is a cross-platform multimedia framework designed for the recording, conversion, and streaming of audio and video content. It functions as a comprehensive toolkit that provides both a command-line utility for direct media manipulation and a collection of low-level libraries for integration into custom applications. At its core, the project utilizes a packet-based stream engine and a format-agnostic abstraction layer to handle diverse media standards, containers, and network protocols. The framework distinguishes itself through a modular, graph-based filter execution model that allows f
Provides standardized containers for handling pixel formats, sample formats, and other media-specific data types.
This project serves as a comprehensive knowledge base and reference for distributed systems engineering and enterprise software architecture. It provides a structured collection of technical resources, design patterns, and methodologies intended to assist in the design, maintenance, and scaling of complex, high-performance software environments. The repository distinguishes itself by offering deep dives into core architectural concepts such as actor-based concurrency, aspect-oriented interception, and inversion-of-control containers. It emphasizes the practical application of distributed syst
Optimize memory usage during high-performance operations by representing large boolean collections with compact bit-level arrays.
Ultralytics is a comprehensive computer vision framework designed for training, validating, and deploying deep learning models across a wide range of visual recognition tasks. It provides a unified interface for core operations including object detection, instance segmentation, pose estimation, and image classification. By utilizing a modular architecture, the platform allows users to swap model components to balance inference speed and accuracy requirements for diverse applications. The framework distinguishes itself through its support for real-time processing and flexible deployment. It in
Encapsulates bounding boxes, masks, and keypoints into accessible objects to simplify programmatic interaction with model outputs.
Rich is a Python terminal formatting library and user interface framework. It provides tools for rendering rich text, colors, and complex layouts within a terminal environment, including specialized formatters for markdown and source code syntax highlighting. The library distinguishes itself through high-level UI components such as tables with unicode borders, hierarchical tree views for nested data structures, and a system for building structured terminal user interfaces. It also includes a debugging visualizer for pretty-printing complex data and formatting error tracebacks. The capability
Renders hierarchical tree views with guiding lines to represent nested data structures or file systems.
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
Transforms sorted arrays into height-balanced binary search trees via recursive middle-element selection.
Typst is a programmable, markup-based typesetting engine designed for professional document creation. It functions as a scriptable publishing toolchain that transforms plain text and code into complex, paginated outputs. By utilizing a high-performance compiler, the system automates document assembly, mathematical rendering, and dynamic content generation, providing a unified workflow for academic and technical authoring. The engine distinguishes itself through a declarative layout framework that uses cascading rules to manage document structure and visual styling. Unlike traditional systems,
Supports native key-value collections that enable dynamic access, iteration, and data manipulation.
Guava is a Java standard library extension and utility toolkit that provides optimized data structures, concurrency tools, and core extensions. It serves as a comprehensive set of helpers for Java development, focusing on reducing repetitive boilerplate logic. The project is distinguished by its specialized implementations of immutable collections, which ensure thread safety and data consistency by preventing accidental modification. It also includes a dedicated graph data structure library for modeling and traversing networks of interconnected nodes and edges, alongside advanced collection t
Offers a comprehensive suite of read-only immutable collection types to ensure thread safety and consistency.
LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses a log-structured merge-tree architecture to map byte arrays to values, running directly within a process to provide storage without the need for a separate server process. The system is distinguished by its use of custom comparison functions to define key ordering, enabling efficient range scans and sequenced lookups. It ensures data reliability through atomic batch execution, consistent snapshot generation, and log-based recovery after failures. The engine covers broad capab
Maintains keys in a sorted sequence using comparison functions for efficient range scans.
Trilium is a hierarchical personal knowledge base and digital garden tool designed to organize information into a tree of linked nodes. It functions as a JavaScript programmable wiki and a self-hosted note server, allowing users to maintain a private database of documents synchronized across multiple devices. The platform distinguishes itself through an embedded scripting engine for automating tasks and a REST API that exposes internal data and actions to external tools. Users can further extend the system by modifying the user interface layout and styling through a custom theme engine. The
Visualizes conceptual relationships and narratives as networked nodes and edges through knowledge graph views.
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
Implements hierarchical tree structures using pointer-based nodes for efficient data retrieval.
This is a persistent data structure library for JavaScript that provides collections which prevent the direct mutation of objects and arrays. It serves as an immutable state management tool and functional programming utility, ensuring that data remains unchanged after creation to simplify change detection and state tracking. The library enables the maintenance of application state by producing new versions of data structures during updates. It focuses on efficient data comparison by checking actual content instead of memory references and supports a functional programming workflow to prevent
Uses structural sharing to minimize memory overhead when producing new versions of data structures.
Immutable.js is a library of persistent data structures and a functional state management toolkit. It provides a collection of immutable objects and arrays that prevent direct mutation to ensure predictable state management in JavaScript applications. The library utilizes structural sharing to efficiently create new versions of data without full copying and implements lazy sequence processing to chain data transformations that execute only when values are requested. It also supports batch mutation processing, allowing multiple changes to be applied to a temporary mutable copy before returning
Employs structural sharing to reuse unchanged nodes between versions of persistent data structures, minimizing memory overhead.
PageIndex is an agent-ready knowledge engine that processes documents into hierarchical tree structures to enable reasoning-based information retrieval. By organizing content into logical trees rather than relying on traditional vector database chunking, the platform preserves the original structure and flow of complex documents. It functions as a Model Context Protocol server, allowing external AI agents to connect to and query indexed knowledge bases through standardized communication protocols. The platform distinguishes itself by using vision-language models to process raw document images
Organizes complex documents into logical, hierarchical trees to preserve structure and improve retrieval accuracy.
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
Implements fundamental linear data structures including stacks, queues, and linked lists.