Projects sharing features with Jsonslice

graphql-go is a schema-first GraphQL library and server implementation for Go. It provides a query execution engine and schema parser that converts schema definition strings into executable structures and validates resolver signatures. The library also includes a streaming implementation for real-time GraphQL subscriptions using channels within resolvers. The project distinguishes itself through parallel resolver execution to reduce request latency and the use of buffer-pool memory management to lower garbage collection overhead. It enables the creation of cloneable schema instances from a sh

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

graphql-go is a server library for implementing GraphQL servers in Go. It provides the core infrastructure for schema parsing, resolver mapping, and query execution. The library includes a subscription engine that enables real-time data streaming to clients using WebSocket transport. It also features an execution tracer for monitoring and profiling query performance through telemetry tools. The system manages resource consumption and stability through a query optimizer that enforces depth restrictions and controls resolver concurrency. It supports data fetching optimization via field-level p

⚡️ A Go framework for rapidly building powerful graphql services

A simple Go package for querying over JSON, YAML, XML, and CSV data.

Dasel is a multi-format data processor and structured data query tool used for querying, editing, and converting data across JSON, YAML, TOML, and XML. It functions as a universal data converter and a cross-format configuration editor that allows users to interact with various serialization formats through a single unified interface. The tool provides a selector-based interface for extracting and searching nested values and modifying keys and values across different file types. It enables the transformation of data between supported structures to change file types while preserving the origina