graphiql VS fastapi

> FYI, GraphiQL is deprecated, GraphQL Playground is a good alternative.

You have this backwards.

https://github.com/graphql/graphql-playground/issues/1366#is...

https://github.com/graphql/graphiql

GraphQL is declarative and self-documenting by nature. There’s a single endpoint, and all available data, relationships, and APIs can be explored and consumed by client teams (via the GraphiQL interface or just Introspection) without constantly going back and forth with backend teams.

GraphiQL is one of the most well-known GraphQL IDEs. Originally developed by Facebook, it is an in-browser tool that enables developers to write, validate, and test GraphQL queries. It is open-source and can be integrated into any project that uses GraphQL. Recently, GraphiQL has been revamped with a new UI and several new features as you can read in ths blog post I wrote earlier.

Nice! I think you might like it.

Ah yeah, that does take a while to unpack. I think a lot of the complexity there is dealing with a non-react library and the dynamic import(s). Binding non-react libraries can be a bit rough.

I do think it's a good example to show the big advantage of hooks, if you look at the use of the hook, super clean: https://github.com/graphql/graphiql/blob/50674292c55eadf0e61...

Great way to contain complexity and make usage really clean and simple!

Graphiql: https://github.com/graphql/graphiql

After GraphQL Playground became part of the GraphQL Foundation, the need for having just one GraphQL IDE became more important. So the GraphQL Foundation decided to merge GraphiQL and GraphQL Playground into one tool. GraphiQL 1 relied on major tech debt and multiple dependencies that were outdated and hard to maintain. With the merge of GraphiQL and GraphQL Playground, the GraphQL Foundation decided to create a new version of GraphiQL, which is now called GraphiQL 2. The design and creation of GraphiQL 2 was all documented in Github.

#3: As I mentioned above, we use GraphQL Code Generator for generating TypeScript types and composables, as well as type checking our queries against the schema. This results in fully type-safe code from the back-end all the way to the front-end. As far as editor extensions go, the GraphQL: Language Feature Support VSCode extension should work fine, I use the language server part of that extension with Neovim. It provides autocompletion based on the schema and diagnostics. It looks like it might not work in .vue files though.

OneGraphiQL is a data explorer that allows us to build up our GraphQL queries and mutations. It is the OneGraph implementation of GraphiQL, which can be used with any GraphQL endpoint. GraphiQL is the perfect way to discover the different things we can request. It is generated from the GraphQL schema and provides helpful documentation for the graph's queries, mutations and types. Additionally, it can intelligently suggest options while we are building our queries and mutations.

If this is a critical functionality, you could raise an issue (with proper reasons why it is important) for sort support either in graphql-js or GraphiQL (guessing this would be a better place) repositories.

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.