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SPECIFICTION
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GraphiQL vs Strawberry GraphQL

GraphiQL

graphiql.dev

Strawberry GraphQL

strawberry.rocks

Side by side

FigureGraphiQLStrawberry GraphQL
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYes—
API—Yes
Self-hostedYesYes
Plans published11
Spec score · GraphQL Tools8.4 (#3)7.1 (#21)
LicenseThe GraphiQL repository describes the code as open source under the MIT license.The repository states that Strawberry is licensed under the MIT license.
SupportThe project directs users to GitHub for issues and discussions and to the GraphQL Discord server for community discussion.The project is open source and maintained by a small developer team; enterprise support is available through Farbun.

Plans

GraphiQL

  • GraphiQLFree

GraphiQL pricing →

Strawberry GraphQL

  • Strawberry GraphQLFree

Strawberry GraphQL pricing →

In their own words

GraphiQL

GraphiQL is a free, interactive, in-browser IDE for GraphQL. Its editor supports the latest GraphQL specification, with syntax highlighting, type-aware suggestions, query and variable completion, and real-time error highlighting. A searchable documentation explorer can display Markdown, and the built-in query history and documentation explorer are available as plugins. GraphiQL can preserve state in browser localStorage and provides a plugin API for extending its interface. It is also a React package for embedding the IDE in an application; a component needs a fetcher function that sends requests to a GraphQL API. The toolkit fetcher supports HTTP, multipart incremental delivery, and subscriptions through graphql-ws or the legacy WebSocket protocol. Developers can customize the interface with React props and children, while CSS variables are the supported way to change its appearance. GraphiQL is open source under the MIT license. Its project offers a progressive web app demo and examples for CDN, Webpack, Create React App, and Parcel.

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Strawberry GraphQL

Strawberry GraphQL is a free, open-source Python library for creating GraphQL APIs. It uses Python type hints to define schemas and support a developer-oriented workflow. Async/await allows resolvers to run without blocking, while schema and field extensions provide places for custom logic. Generics support reusable types, and federated GraphQL schemas are supported. Built-in dataloaders can batch multiple queries into one. Documentation lists integrations for Django, Channels, FastAPI, Flask, Quart, Sanic, Chalice, Starlette, Litestar and AIOHTTP, while noting that the integration table may not be current. Installation uses pip and requires Python 3.10 or later. Strawberry is MIT licensed and intended for self-hosted deployment. Authentication is handled by the web framework; authorization uses Permissions classes. API explorer, client code generation and operation testing are listed. Enterprise support is available through Farbun.

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