Graphene vs Strawberry GraphQL
Graphene
graphene-python.org
Strawberry GraphQL
strawberry.rocksSide by side
| Figure | Graphene | Strawberry GraphQL |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · GraphQL Tools | 7.9 (#9) | 7.1 (#21) |
| Framework integrations | The documentation lists integrations for Django, Flask, SQLAlchemy, Google App Engine, Mongo, Starlette, and FastAPI. | The documentation lists integrations including Django, Channels, FastAPI, Flask, Quart, Sanic, Chalice, Starlette, Litestar, and AIOHTTP, while warning that its integration table is not up to date. |
| License | The project repository identifies its license as MIT. | The repository states that Strawberry is licensed under the MIT license. |
Plans
In their own words
Graphene
Graphene has no write-up on Specifiction yet; its figures are above.
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.