Absinthe Graphql VS fastapi

The Elixir ecosystem loves GraphQL so, if you're interested in going that direction, there's good tooling and plenty of support with absinthe.

We did not expect GraphQL tooling in Elixir to be so good. Absinthe is a comprehensive GraphQL toolkit for Elixir that is incredible to use.

https://github.com/absinthe-graphql/absinthe/issues/387#issuecomment-730726272

Thanks for the other suggestions also, I've never tried lodash but it looks interesting. The REST API stuff should be doable, it's just that I've never done this before. I've built small and simple APIs but never had to integrate them with a frontend. Elixir has a Absinthe to deal with GraphQL, but I don't think I need it right now, so REST is easier.

Actually, dynamic Enum values support was added to absinthe v1.6.0 (https://github.com/absinthe-graphql/absinthe/pull/1023, released 2 months ago) and list support was fixed in v1.6.2 (https://github.com/absinthe-graphql/absinthe/pull/1041, released almost a month ago). It looks like you don't need to add such workarounds since then.

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.

We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:

FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.

FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.