Awesome GitHub RepositoriesData Type Definitions

ToolJet is a low-code development platform designed for building and deploying internal business applications. It provides a visual interface where users can drag and drop components to design layouts, connect to various data sources, and execute custom logic. The platform is built on a containerized architecture, ensuring that applications remain portable and consistent across different cloud and server environments. The platform distinguishes itself through integrated artificial intelligence capabilities that assist in the generation of user interfaces, database schemas, and data queries fr

create-t3-app is a full stack web framework initializer and project scaffolder. It functions as a command line tool for initializing Next.js applications, acting as a TypeScript full stack starter that generates a predefined folder structure and configuration files. The tool focuses on establishing a typesafe full stack architecture. It enforces end-to-end type safety between the client and server, ensuring that data types remain synchronized across the entire application stack to prevent runtime errors. The initializer automates the setup of a full stack development environment by bootstrap

Yup is a JavaScript schema validation library used to define data shapes and validate runtime values. It functions as an object schema validator and a data coercion engine, allowing developers to transform raw input values into desired types before performing validation checks. The library is distinguished by its support for dynamic schema validation, where rules can be adjusted at runtime based on sibling field values or external context. It also enables recursive data structuring for polymorphic fields and provides a system for extracting static TypeScript interfaces from runtime schema def

This project is the JavaScript reference implementation of the GraphQL specification. It provides a query engine and schema parser designed to parse, validate, and execute queries to retrieve or mutate data based on a defined schema. The implementation includes a framework for mapping codebase structures to a strongly typed system and a tool for converting query strings into abstract syntax trees for programmatic analysis. The library covers the full surface of GraphQL API implementation, including schema definition, language parsing, and query validation. It provides the necessary infrastru

Elysia is a high-performance TypeScript web framework designed for building type-safe backend services. It provides a modular, plugin-based architecture that allows developers to compose server logic, middleware, and validation schemas into scalable application instances. By leveraging native web standards, the framework ensures portability across diverse JavaScript runtimes, including Node.js, Deno, and various edge computing environments. The framework distinguishes itself through its focus on end-to-end type safety, automatically synchronizing request and response definitions between the s

Wasp is a declarative full-stack web framework that enables developers to build and deploy applications by defining their architecture in a centralized configuration. By using a high-level specification, the framework automates the orchestration of frontend, backend, and database components, ensuring that infrastructure concerns like routing, authentication, and data modeling are handled consistently across the entire stack. The framework distinguishes itself through its compiler-driven approach, which translates declarative configurations into cohesive, production-ready codebases. It provide

Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

Amplication is a low-code API platform and backend service generator designed to accelerate the development of business domain services. It automates the creation of APIs and data models through schema-driven code generation, transforming structured definitions into executable backend source code. The platform functions as a developer portal orchestrator that establishes standardized workflows and golden paths for software delivery. It enforces organizational coding standards and best practices by applying live templates and predefined blueprints across all generated services. The system inc

This repository contains the official technical specification for GraphQL. It serves as the formal standard defining the query language, the execution engine, and the schema definition rules required to maintain consistency across different API implementations. The specification establishes a language-agnostic standard for query syntax and semantics, alongside a formal protocol for introspection. It provides the documented algorithms and logic requirements necessary for implementing a consistent server, ensuring that metadata about types and fields can be discovered by automated tools. The p

Gel is an object-relational database system that models data as a graph of interconnected objects. By utilizing a strongly typed schema, it enables complex relational queries and polymorphic data structures without the need for traditional join tables. The system integrates native vector storage and similarity search operators, allowing it to function as both a relational and a vector database for semantic data retrieval. The platform distinguishes itself through a comprehensive suite of developer-centric automation tools. It features a declarative migration system that tracks and versions sc

Quicktype is a multi-language serialization tool and type generator. It converts JSON samples, JSON Schema definitions, and GraphQL schemas into strongly typed data structures and serialization logic across multiple programming languages. The system automates the data serialization workflow by generating boilerplate code to parse and serialize data. It transforms structured input definitions into executable code, providing the necessary encoders and decoders to move data between raw formats and typed objects.

Quicktype is a multi-language model generation engine that converts JSON and GraphQL schemas into type-safe models and serialization code. It functions as a JSON to type generator and a GraphQL type generator, producing strongly typed classes and interfaces across a wide array of target programming languages. The system derives formal schemas from sample data and transforms these definitions into native language objects. This enables the synchronization of shared data models across diverse tech stacks and the development of type-safe interfaces for consuming external APIs. The engine utilize

t3code is a platform for operating AI coding agents through a web interface to develop and maintain software projects. It functions as an orchestrator that manages AI agent lifecycles and communication, providing a system for provisioning isolated remote development environments and managing secure connections to cloud-hosted resources. The project utilizes an event-sourced backend architecture that processes typed commands into persisted domain events to maintain system state. It employs a communication system based on JSON-RPC over WebSockets to synchronize real-time state and events betwee

This project is a comprehensive suite of AI tools and frameworks, featuring an LLM multi-agent orchestrator, an autonomous agent runtime, and a stateful application framework. It provides the infrastructure to build and manage specialized AI agents capable of coordinating complex tasks through graph-based workflows and shared state. The system is distinguished by its implementation of the Model Context Protocol, allowing for standardized resource discovery and communication between AI clients and servers. It further includes an AI-powered documentation generator designed to analyze source cod

This project is a type-safe GraphQL client generator and TypeScript schema compiler. It transforms GraphQL schema definitions and operation documents into static TypeScript types to ensure compile-time validation and data consistency between an API and a frontend application. The system functions as a customizable GraphQL plugin framework. It uses a plugin-based architecture and a custom pipeline to generate tailored API clients and request functions, eliminating the need for manual type declarations. The project covers GraphQL client automation, type generation, and workflow optimization. I

FiftyOne es una herramienta visual para curar, analizar y gestionar datasets de imágenes y vídeos para el entrenamiento de modelos de machine learning. Sirve como plataforma para identificar errores de anotación, refinar etiquetas de verdad fundamental (ground truth) y evaluar el rendimiento de modelos de visión comparando predicciones contra la verdad fundamental para identificar modos de fallo. El sistema funciona como una plataforma de datos en contenedores que admite la colaboración en equipo en datasets visuales a gran escala en un entorno de nube. Incluye capacidades especializadas para explorar embeddings de alta dimensión para descubrir clusters de datos y recuperar muestras visuales correspondientes. La plataforma cubre una amplia gama de capacidades, incluyendo anotación de datos 2D y 3D, validación de calidad de datasets y exploración visual de datos. Se integra con frameworks de deep learning para mover datos desde la curación hasta el entrenamiento del modelo y utiliza un almacén de metadatos basado en documentos para gestionar las estructuras de los datasets.

F Prime es un framework basado en componentes diseñado para el desarrollo y despliegue de software embebido y de vuelo espacial. Proporciona una arquitectura modular que desacopla la lógica del software de las interfaces de comunicación, permitiendo a los desarrolladores definir estructuras de sistema mediante un lenguaje de modelado específico del dominio. Este enfoque basado en modelos permite la generación automática de código, asegurando la consistencia en topologías de sistemas complejos mientras mantiene estrictos contratos de interfaz entre los módulos de software. El framework se distingue por su sistema de compilación integrado y su suite de operaciones de datos en tierra. Automatiza todo el ciclo de vida del software embebido, desde la compilación cruzada y la gestión de dependencias hasta la generación de interfaces de telemetría y comandos. Al proporcionar un entorno unificado tanto para el software de vuelo a bordo como para la monitorización en tierra, facilita la integración, las pruebas y el mando y control de sistemas embebidos distribuidos en diversas plataformas de hardware. Más allá de su arquitectura central, el proyecto incluye herramientas integrales para la observabilidad del sistema, incluyendo visualización de telemetría en tiempo real, registro de eventos y trazado de diagnóstico. Soporta una amplia gama de escenarios de despliegue, desde entornos bare-metal hasta sistemas operativos en tiempo real, y proporciona mecanismos para la gestión de memoria, modelado de comportamiento basado en estados y ejecución de tareas asíncronas. El proyecto se mantiene como un repositorio en C++ con documentación extensa y soporte de sistema de compilación para el desarrollo multiplataforma.

gqlgen is a schema-first Go library designed to build type-safe GraphQL servers. It functions as a code generation engine that transforms declarative GraphQL schema definitions into strongly-typed Go source code, ensuring strict alignment between the API contract and the underlying implementation. The framework distinguishes itself through its deep integration with the Go type system and its highly extensible build pipeline. By using schema-first development, it automates the creation of server boilerplate and resolver stubs, allowing developers to map schema fields directly to Go structs and

This project is a header-only C++ library designed for graphics mathematics, providing a comprehensive suite of vector, matrix, and quaternion types. It is built using template metaprogramming to generate mathematical primitives at compile time, eliminating the need for precompiled binary libraries and allowing for direct integration into existing build systems. The library is distinguished by its strict adherence to the OpenGL Shading Language specification, ensuring that mathematical results remain consistent across both CPU and GPU code. It provides specialized utilities for managing float

SQLite.swift is a type-safe Swift wrapper and object-relational mapping layer that provides a bridge for interacting with SQLite databases. It functions as a database driver that allows for embedded database management and local data persistence within Swift applications. The project distinguishes itself through a type-safe expression builder that verifies SQL statement syntax and intent at compile time. It includes specialized support for high-performance text matching via full-text search integration and provides mechanisms for securing sensitive data through database encryption. The libra