Question 1

Graphene vs Strawberry: which is better for GraphQL in Python?

Accepted Answer

Graphene is more mature with extensive framework integrations like Django, ideal for existing Python projects. Strawberry focuses on type hints and async support, so choose based on your need for integration depth versus modern Python features.

Question 2

How to add authentication to a Graphene GraphQL API?

Accepted Answer

Authentication in Graphene is typically handled in resolver functions or via middleware. For Django integrations, use graphene-django to leverage Django's auth system, or implement custom logic in the GraphQL context for other setups.

Question 3

Does Graphene support GraphQL subscriptions?

Accepted Answer

Yes, Graphene supports subscriptions, but it requires additional setup with WebSockets and async frameworks like Django Channels. The documentation provides examples, but it's not as plug-and-play as some other GraphQL libraries.

Question 4

How to use Graphene with SQLAlchemy?

Accepted Answer

Use the graphene-sqlalchemy package to define GraphQL types based on SQLAlchemy models. This allows automatic mapping of database queries to resolvers, streamlining API development with minimal boilerplate.

Question 5

What are common performance bottlenecks with Graphene?

Accepted Answer

Performance issues often stem from N+1 query problems in resolvers or Python's interpreter overhead. Using dataloaders for batching and optimizing database queries are recommended best practices to improve efficiency.

Question 6

How to handle errors in Graphene GraphQL?

Accepted Answer

Errors can be managed by raising GraphQLError exceptions in resolvers or defining custom error types. Validation is typically done at the resolver level, with GraphQL's type system providing additional checks.

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