Question 1

Tartiflette vs Strawberry for GraphQL in Python?

Accepted Answer

Tartiflette is SDL-first and asyncio-native, focusing on performance and Pythonic design, while Strawberry is code-first and more integrated with type hints. Choose Tartiflette if you prefer SDL and async; Strawberry for type-safety and a more declarative approach.

Question 2

How to integrate Tartiflette with FastAPI?

Accepted Answer

Use the tartiflette-asgi library for ASGI compatibility, which allows integration with FastAPI or any ASGI server. Set up the engine and mount it as an ASGI app, following the documentation for specific configuration details.

Question 3

Is Tartiflette production ready?

Accepted Answer

Yes, with the first milestone released, it's stable for basic use cases, but being in active development (milestone 2 in progress), it may lack some advanced features. Assess based on your project's needs and risk tolerance.

Question 4

Does Tartiflette support GraphQL subscriptions?

Accepted Answer

As of now, subscription support is limited or experimental; check the roadmaps for milestone 2 updates. For real-time features, you might need to rely on workarounds or consider more mature alternatives.

Question 5

How to handle errors in Tartiflette?

Accepted Answer

Errors can be managed through custom resolvers and middleware; the documentation provides guidance on exception handling and returning GraphQL errors, but it's less comprehensive than in established libraries.

Question 6

What are Tartiflette performance benchmarks?

Accepted Answer

While performance is a core focus, specific benchmarks aren't extensively documented. It's designed to be efficient with asyncio, but for critical applications, conduct your own tests comparing to libraries like Ariadne or Graphene.

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