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Strawberry GraphQL

by Strawberry Community

Modern Python GraphQL library using type annotations and dataclasses for schema definition, with native async resolver support and FastAPI/Django integration for APAC Python backends.

AIMenta verdict
Decent fit
4/5

"Python-first GraphQL library — APAC Python backend teams use Strawberry to define APAC GraphQL schemas with Python type annotations and dataclasses, integrating with FastAPI, Django, and async APAC resolvers."

Features
6
Use cases
1
Watch outs
3
What it does

Key features

  • Type annotation-based schema: Python dataclasses and type hints define APAC GraphQL schema
  • Async-first: native async resolver support for APAC FastAPI and ASGI backends
  • FastAPI integration: mount Strawberry GraphQL as APAC FastAPI route
  • Django integration: APAC Django views with Django ORM async query support
  • Strawberry codegen: generate TypeScript types from APAC Python schema for frontend
  • Dataloaders: built-in N+1 batching for APAC database-backed resolvers
When to reach for it

Best for

  • APAC Python backend teams building GraphQL APIs with FastAPI or Django who want type-safe schema definition using Python type annotations — compatible with mypy and IDE autocompletion.
Don't get burned

Limitations to know

  • ! Smaller ecosystem than Apollo for APAC enterprise GraphQL tooling
  • ! Some advanced GraphQL features less battle-tested than Graphene in APAC production
  • ! Django async ORM support requires Django 4.1+ — APAC legacy Django apps need upgrades
Context

About Strawberry GraphQL

Strawberry is a modern Python GraphQL library that uses Python type annotations and dataclasses to define GraphQL schemas — aligning with contemporary Python typing practices rather than requiring separate schema definition language (SDL) files. APAC Python backend teams use Strawberry to build GraphQL APIs in Django, FastAPI, ASGI, or Flask applications with native async resolver support.

The type annotation-first approach means APAC Python developers define their GraphQL schema in Python code using `@strawberry.type` decorators, field type annotations, and `@strawberry.field` resolvers — the GraphQL SDL schema is derived automatically. This keeps the APAC schema and implementation co-located in Python code rather than maintaining separate `.graphql` files and Python resolver files.

Strawberry's async-first design is particularly valuable for APAC Python backends built on FastAPI or ASGI where async database queries (via SQLAlchemy async, Tortoise ORM, or asyncpg) can run concurrently within a single GraphQL request — enabling efficient APAC data fetching without blocking threads.

For APAC teams comparing Strawberry to Graphene (the older Python GraphQL library): Strawberry uses modern Python typing syntax (PEP 585+ generics, `Optional[X]` vs `graphene.String()`) that integrates better with APAC Python type checkers (mypy, pyright) and IDE completion. Graphene's class-based schema definition is more verbose and less Pythonic for APAC teams writing modern Python 3.10+ code.

Beyond this tool

Where this category meets practice depth.

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