Awesome GitHub RepositoriesCode Completion Tools

This project is an interactive data science environment that combines code execution, rich media visualization, and narrative documentation into a persistent, browser-based platform. It serves as a comprehensive educational resource for scientific computing, providing a framework for iterative data analysis and machine learning prototyping. The environment is distinguished by its focus on high-performance numerical computing, utilizing vectorized array operations and memory-mapped data structures to handle large-scale computations efficiently. It features a unified estimator interface that st

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

YouCompleteMe is a completion engine and semantic code analyzer for the Vim editor. It provides an integrated suite of development tools, including a Language Server Protocol client and a semantic analyzer that utilizes Clang to offer context-aware symbols and type-based highlighting. The project distinguishes itself through specialized semantic completion for C-family languages and JavaScript, offering identifiers, snippets, and automatic imports. It provides advanced visual feedback such as inlay hints for type information and parameter names, as well as semantic highlighting based on the a

Compose Samples is a collection of reference implementations for the Jetpack Compose UI library, serving as a practical guide for building native Android user interfaces. It demonstrates the use of a declarative framework where Kotlin functions describe layout structures and data dependencies, enabling developers to construct modern, reactive interfaces. The repository highlights architectural patterns that prioritize maintainability and testability, such as layered organization and unidirectional data flow. It showcases how to implement adaptive layouts that automatically adjust to various s

IPython is an interactive computing environment and programmable extension of the Python read-eval-print loop. It serves as a development tool for writing, testing, and executing code in a live environment designed for rapid prototyping and data exploration. The system differentiates itself through a specialized set of magic commands for environment configuration and system shell integration. It features an object introspection engine for analyzing live program objects at runtime and a frontend-agnostic kernel that allows the execution logic to be embedded into other applications or graphical

ag-ui is an agent-frontend interoperability layer and communication protocol designed to connect AI agent backends with web and mobile user interfaces. It provides a standardized event-driven framework for exchanging messages, session state, and tool calls, utilizing a generative UI framework to render dynamic interface components and structured content triggered by an agent. The project distinguishes itself through an SSE-based event streamer that delivers real-time incremental model responses and reasoning telemetry. It enables bi-directional state synchronization and allows remote agents t

This project is a technical interview study guide and a markdown-driven static site designed to help developers prepare for coding screenings. It serves as a curated collection of common technical questions and expert answers, functioning as a comprehensive educational resource. The platform provides a structured curriculum and reference materials across several key domains. This includes a JavaScript language reference covering programming fundamentals, a frontend engineering curriculum focused on UI patterns and responsive design, and a web security knowledge base detailing attack vectors a

This project is a Vim IDE configuration and plugin suite designed to transform the Vim text editor into a full development environment. It focuses on C++ development by integrating source code indexing and automated plugin management. The environment utilizes compiler backends and abstract syntax trees for semantic code completion and static code analysis. It employs tag files for symbol indexing, enabling rapid navigation between function definitions, class headers, and implementation files. The workspace includes productivity tools such as shorthand snippet expansion, line bookmarking, and

Lucky Canvas is a canvas-based lottery component library that enables developers to build interactive prize wheels, grid-based lottery games, and slot machines for web and mobile applications. The project provides a rendering engine that draws directly on HTML Canvas elements, with automatic device pixel ratio scaling to ensure crisp displays on high-DPI mobile screens. The library packages each lottery type as a self-contained plugin with its own configuration and rendering logic, and wraps the core canvas functionality in framework-specific bindings for Vue, React, Taro, and UniApp without

ANUS is an automated coding agent and development framework that uses a large language model to execute technical tasks and modify project files. It functions as a tool-integrated platform that combines a sandboxed shell executor with a system for maintaining persistent project goals. The framework is distinguished by its context-aware development model, which uses local markdown files to track instructions and maintain state across different sessions. It employs a loop-based autonomous development cycle to plan, code, and verify changes, while utilizing a standardized protocol to integrate e

CodeCompanion is a Neovim plugin that brings large language model capabilities directly into the editor, enabling turn-based conversations with AI models in a dedicated chat buffer. It provides a comprehensive interface for interacting with LLMs, supporting multiple providers through a flexible adapter system that can route requests to various hosted or local language model services. The plugin distinguishes itself through its extensive context-sharing capabilities, allowing users to send buffer contents, visual selections, git diffs, LSP diagnostics, terminal output, quickfix lists, and view

Taskwarrior is a command-line task manager that lets you create, modify, filter, and complete to-do items directly from the terminal. It stores all tasks in a single plain-text file for portability and manual editing, and includes a custom expression language for selecting tasks by status, priority, tags, and date ranges. The tool distinguishes itself through several integrated capabilities. It computes a numeric urgency score for each task based on weighted factors like age, tags, and due date to determine ordering. A recurrence template engine generates new task instances from a template af

Asio is a C++ library for performing network and low-level I/O operations using a consistent asynchronous model that avoids blocking program execution. It provides a portable, cross-platform interface for network socket communication across different operating systems, and manages multiple asynchronous operations without requiring explicit thread management or locking. The library implements a proactor-based asynchronous model where operations post completion handlers to a queue for later execution, and wraps operating system I/O multiplexing mechanisms like epoll, kqueue, IOCP, and select in

Tape is a TAP-producing test framework for Node.js that provides assertions, spies, subtests, and isolated test harnesses. It functions as both a test runner and an assertion library, outputting results in the Test Anything Protocol format for machine or human consumption. The framework manages test execution through callback-based async control, plan-based auto termination, and subtest stack isolation. It includes a spy wrapper system that replaces object methods with call-recording wrappers that restore originals during teardown, along with a teardown callback registry that collects and exe

The Missing Semester is a free, open-source educational curriculum designed to bridge the gap between theoretical computer science and the practical tooling every software engineer needs. Organized as a structured course, it covers Unix shell mastery, version control with Git, software debugging and profiling, system administration fundamentals, and computer security practices — the skills often left out of traditional degree programs. The project is maintained as a collaborative set of lecture notes, exercises, and guides that function as both a professional development tools course and a Uni

Dramatiq is a distributed task queue and workload manager used to offload function execution to background workers. It functions as an asynchronous task orchestrator that enables the distribution of computational tasks across a cluster using a pluggable transport layer supporting RabbitMQ and Redis. The framework provides specialized tools for complex task orchestration, including the ability to link background jobs into sequences, pipelines, and barriers. It further manages distributed concurrency through the use of shared mutexes, rate limiters, and exponential backoff retries to prevent re

Este proyecto es una extensión para JupyterLab que integra proveedores de modelos de lenguaje grandes y agentes de IA directamente en notebooks computacionales. Funciona como una capa de integración y orquestador, uniendo backends de IA generativa con un espacio de trabajo de ciencia de datos para permitir la ejecución de prompts de IA dentro de las celdas del notebook y la inserción de bloques de código generados en documentos. El sistema cuenta con una interfaz de chat colaborativa donde múltiples usuarios pueden interactuar con personas de IA en tiempo real, compartiendo hilos de conversación y utilizando archivos adjuntos de arrastrar y soltar para el contexto. Permite la creación de personas de IA personalizadas y la integración de herramientas especializadas a través de servidores de protocolo, manteniendo una interfaz agnóstica al proveedor para intercambiar diferentes backends de modelos de lenguaje grandes. Las capacidades incluyen la automatización de flujos de trabajo como la gestión de archivos, la depuración de código y la ejecución de comandos de shell. Para garantizar la seguridad, el framework emplea una ejecución con puertas de permiso, requiriendo la aprobación explícita del usuario antes de que los agentes de IA puedan modificar archivos o ejecutar comandos del sistema.

Tern es un analizador de código independiente del editor y un motor de análisis estático para JavaScript. Funciona como un servidor de lenguaje que proporciona inteligencia semántica analizando el código fuente en árboles de sintaxis abstractos para inferir tipos y resolver símbolos sin requerir anotaciones de tipo manuales. El motor se distingue por el uso de definiciones de tipo basadas en JSON, que le permiten describir firmas de bibliotecas y dependencias externas sin necesidad del código fuente original. También cuenta con un sistema de plugins que permite la extensión de la funcionalidad del servidor para admitir cargadores o frameworks personalizados. El proyecto cubre amplias áreas de capacidad, incluyendo navegación de código, refactorización y autocompletado de editor. Proporciona servicios como la localización de definiciones de símbolos, la búsqueda de referencias de código y la oferta de sugerencias y completados de argumentos de funciones basados en tipos de expresión inferidos.

ReAct es una plantilla de flujo de trabajo de agentes y framework de prompts para modelos de lenguaje grandes (LLM). Implementa un patrón lógico que integra el razonamiento de cadena de pensamiento (chain-of-thought) con la ejecución de herramientas externas para resolver tareas complejas de múltiples pasos. El framework utiliza una lógica entrelazada de razonamiento y actuación, forzando al modelo a documentar su proceso de pensamiento interno antes de ejecutar una acción. Este ciclo de planificación y actuación permite al sistema interactuar con APIs o bases de datos externas e inyectar datos del mundo real de vuelta en el contexto del modelo para refinar las rutas de razonamiento. El proyecto cubre la ejecución autónoma de tareas y la orquestación de agentes combinando la integración de observación-retroalimentación con una lógica de ejecución impulsada por prompts. Esto asegura un ciclo continuo de pensamiento, actuación y observación para lograr objetivos sin intervención humana constante.

gpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through