quicktype open source analysis

Generate types and converters from JSON, Schema, and GraphQL

Project overview

⭐ 13542 · TypeScript · Last activity on GitHub: 2025-10-27

GitHub: https://github.com/glideapps/quicktype

Why it matters for engineering teams

quicktype addresses the common challenge of converting JSON, GraphQL schemas, and JSON Schema into strongly typed code across multiple languages. This open source tool for engineering teams helps reduce manual coding errors and accelerates development by generating reliable type definitions and converters automatically. It is particularly suited to backend engineers, full stack developers, and API teams who work with typed languages like TypeScript, C#, and Go. quicktype has proven maturity and is a production ready solution for projects requiring consistent data handling and type safety. However, it may not be the best fit for teams with highly custom or dynamic schemas that need frequent manual adjustments, as generated code can sometimes require additional refinement to fit specific use cases.

When to use this project

quicktype is a strong choice when your team needs to quickly generate type-safe models from JSON or GraphQL schemas and maintain consistency across multiple languages. Teams should consider alternatives if they require extensive customisation of generated code or if their data structures change very frequently, which can make automation less effective.

Team fit and typical use cases

Backend engineers and API developers benefit most from quicktype by integrating it into their workflows to automate type generation and ensure data integrity. It is commonly used in products involving API clients, microservices, and data validation layers. The availability of a self hosted option for type generation makes it suitable for teams prioritising control over their development environment.

Topics and ecosystem

cplusplus csharp elm golang graphql java json json-schema kotlin objective-c rust swift typescript

Activity and freshness

Latest commit on GitHub: 2025-10-27. Activity data is based on repeated RepoPi snapshots of the GitHub repository. It gives a quick, factual view of how alive the project is.