Explica en lenguaje sencillo qué estás construyendo y obtén los mejores repositorios de GitHub que coincidan.
awesome-repositories.com te ayuda a encontrar el proyecto open-source adecuado en GitHub. Dile a nuestra búsqueda por IA qué quieres construir, en lenguaje sencillo, y clasificará miles de repositorios curados según su relevancia. Cada proyecto es monitoreado continuamente, organizados en categorías claras y votados por otros desarrolladores. Explora las selecciones a continuación o realiza una búsqueda para comenzar.
Lo más destacado del directorio: una selección nueva cada pocas horas.
Every area of the catalogue. Open one to see everything inside it.
Búsquedas comunes, organizadas en un árbol navegable.
Es un directorio curado de repositorios open-source de GitHub que puedes buscar en lenguaje natural. Describe lo que estás construyendo y una IA clasificará miles de proyectos verificados según su relevancia, incluyendo una breve nota sobre por qué encajan.
La búsqueda de GitHub coincide con las palabras clave que escribes. Aquí describes el problema en lenguaje natural y la IA interpreta tu intención, por lo que aparecerá un proyecto que resuelva tu necesidad incluso si no utiliza tus palabras exactas.
Escribe lo que quieres construir, por ejemplo: una página de estado autohospedada que haga ping a mis servicios y me avise por Discord. Obtendrás repositorios coincidentes clasificados por relevancia en lugar de por número de estrellas.
Están curados, no es una extracción bruta. Una IA analiza cada proyecto, lo clasifica en una categoría y lo ordena por relevancia bajo reglas que ajustamos y revisamos, eliminando entradas duplicadas o de baja calidad.
Sí. Buscar y navegar por el directorio es gratuito.
Bevy is a cross-platform game engine and framework built in Rust, designed for creating interactive simulations and graphical applications. It utilizes a data-oriented entity-component-system architecture to manage game state, organizing data into contiguous memory blocks to facilitate high-performance processing and massive parallelization of entities. The engine distinguishes itself through a modular plugin architecture and a system-based task scheduler that automatically parallelizes logic by analyzing data access patterns. By employing reactive change detection and deferred command buffer
Appwrite is a backend-as-a-service platform that provides a unified development environment for building full-stack applications. It integrates essential infrastructure components—including authentication, databases, storage, and serverless functions—into a single, centralized interface to simplify application development and resource management. The platform distinguishes itself through a container-based microservices architecture that ensures consistent execution across diverse infrastructure. It features a versatile connectivity layer that links frontend applications with third-party servi
This project is a graphical Windows debugger designed for the analysis and manipulation of compiled binary applications. It functions as a comprehensive binary analysis suite, providing a real-time environment for inspecting CPU registers, monitoring memory states, and tracing instruction execution to investigate system-level software behavior. The tool distinguishes itself through an event-driven debugging loop that allows for precise process control and state modification during runtime. It supports advanced analysis techniques, including hardware-breakpoint injection for monitoring memory
React Native is a cross-platform mobile framework used to build native iOS and Android applications from a single codebase. It provides a native UI component library of declarative components that map directly to native platform interface controls. The environment enables a mobile app iteration workflow that supports immediate interface updates after changing source files, bypassing full native build cycles. The framework covers cross-platform app development and native mobile UI development, allowing for the creation of applications that render native components rather than web views.
LLMs, agents, and the tools to build with them.
Notes, tasks, docs, and knowledge bases.
Chat, calls, photos, music, and personal files.
Databases, pipelines, and analytics.
Containers, deployment, monitoring, and automation.
Passwords, secrets, and offensive security.
Languages, CLIs, frameworks, and version control.
Courses, books, interviews, and CS foundations.