8 Repos
Mechanisms for sending queries and mutations to remote GraphQL services.
Distinct from GraphQL Integrations: Distinct from GraphQL Integrations: focuses on the execution of operations rather than schema bridging.
Explore 8 awesome GitHub repositories matching data & databases · Operation Execution. Refine with filters or upvote what's useful.
This project is a command-line utility and development framework designed to modify, extend, and customize the Spotify desktop client. It functions as a binary patching engine that injects custom scripts, stylesheets, and interface components directly into the host application, enabling users to alter visual themes and add new functionality. The tool distinguishes itself by providing a comprehensive development environment for building modular extensions and custom applications. It includes a hot-reloading pipeline for rapid iteration, a declarative library for constructing interactive UI pan
Sends queries and mutations to remote services to retrieve or modify data structures.
Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep
Executes custom GraphQL queries and mutations against remote services using authenticated credentials.
GitHub Copilot is an AI-powered development platform designed to integrate large language models directly into coding environments. It functions as an interactive assistant and an agentic workflow orchestrator, enabling developers to automate code generation, perform automated code reviews, and execute complex, multi-step development tasks through natural language prompts. The platform distinguishes itself through its autonomous agent capabilities, which allow for repository-level research, implementation planning, and code modifications across multiple files. It supports a modular architectu
Authenticates and processes GraphQL queries and mutations through a structured, schema-based interface.
This project is a GraphQL implementation for Go, providing a complete suite for building GraphQL servers. It includes a schema engine for defining types, a query parser to convert strings into abstract syntax trees, and an execution engine that resolves fields against a defined schema to return structured data. The library distinguishes itself through reflection-based type mapping, allowing object definitions and arguments to be derived directly from native Go structs. It also supports the execution of real-time data streaming via GraphQL subscriptions and provides an extensible execution pip
Executes queries, mutations, and subscriptions against a schema to resolve and return structured data.
urql is a GraphQL client library designed for fetching and managing data from a GraphQL API. It provides a system for handling GraphQL data fetching, state management, and integration with React components. The library is distinguished by a middleware pipeline architecture that allows the request-response flow to be modified through swappable exchanges. This enables the customization of the data layer, including the addition of custom business logic, request deduplication, and specialized fetching behaviors. The project covers a broad range of capabilities, including normalized caching to en
Provides the mechanism to send and execute GraphQL mutations to modify remote data.
Yoga is a GraphQL server framework and runtime-agnostic HTTP handler used to build and deploy GraphQL APIs. It functions as a toolkit for managing schemas and resolvers, providing a spec-compliant environment for hosting APIs across diverse JavaScript runtimes, including Node.js, Deno, Bun, and serverless cloud environments. The project distinguishes itself through its ability to act as an Apollo Federation gateway, composing multiple subgraphs into a single unified supergraph. It also serves as a dedicated subscription server, delivering real-time data streaming via both WebSockets and Serve
Provides a specialized handler for executing GraphQL queries, mutations, and subscriptions with support for incremental delivery.
Apollo Kotlin is a strongly-typed GraphQL client and code generation library designed for Kotlin and JVM applications. It functions as a comprehensive development tool that transforms GraphQL schema definitions and query documents into type-safe models during the build process, ensuring that data access errors are identified at compile time rather than at runtime. The project distinguishes itself through its multiplatform runtime abstraction, which allows developers to share data fetching and caching logic across Android, iOS, and desktop environments. It provides a normalized local caching s
Manages the complete network lifecycle including request building, response validation, error handling, and automatic synchronization with local data caches.
Apollo Android ist eine typsichere GraphQL-Client-Bibliothek für die Ausführung von Queries und Mutations über JVM, Android und Kotlin Multiplatform hinweg. Sie enthält ein Codegenerierungstool, das unveränderliche Klassen und Parser aus GraphQL-Schemas und Operationsdateien erstellt, um Typsicherheit zur Kompilierzeit zu gewährleisten. Das Projekt verfügt über einen normalisierten Cache, der Antworten in eine Lookup-Tabelle flacht, um eine einzige Quelle der Wahrheit beizubehalten. Es bietet zudem einen Subscription-Client für Echtzeit-Updates serverseitiger Daten via WebSocket- oder SSE-Verbindungen sowie ein Mocking-Framework zur Simulation von Serverantworten und zur Generierung gefälschter typsicherer Daten für Tests. Die Bibliothek deckt ein breites Spektrum an Funktionen ab, einschließlich Netzwerkoptimierung durch Request-Batching und persistente Queries sowie die Verwaltung des lokalen Datenzustands mit optimistischen Updates und Paginierung. Sie unterstützt die Integration benutzerdefinierter HTTP-Engines und das Mapping benutzerdefinierter Skalartypen auf native Sprachklassen. Das Tool integriert sich in Entwicklungs-IDEs, um automatische Codegenerierung und Navigation vom Editor zu Definitionen bereitzustellen.
Manages the full lifecycle of executing GraphQL queries and mutations from request to response parsing.