graphiql VS swagger-ui

> 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 GraphiQL 1 relied on major tech debt and multiple dependencies that were outdated and hard to maintain.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.

Swagger is a fantastic open-source toolset that's perfect for developing and describing RESTful APIs. It offers you a user-friendly interface to understand a service's capabilities without needing to dig into the code. It even provides a way for you to interact directly with the API, which means you get to test its functionality.

The API had an OpenAPI endpoint built with Swagger where I could download a JSON specification file for the API.

Swagger is a widely used tool for documenting and testing APIs.

Swagger is an open-source software framework that implements the OpenAPI Specification—an API description format for REST APIs. The OpenAPI Specification defines a standard, language-agnostic interface to HTTP APIs, enabling both humans and computers to discover and understand the capabilities of the API.

Mocking and Testing: Once the API design is complete, developers create mock APIs to simulate the behavior of the actual services. This early testing phase helps identify any issues or mismatches between design and implementation before substantial development efforts are invested. Tools like Postman or Swagger are invaluable for API testing and validation.

import fp from "fastify-plugin"; import swagger from "@fastify/swagger"; export default fp(async (fastify) => { fastify.register(swagger, { openapi: { info: { tags: [ { name: "drinks", description: "Drink-related endpoints", externalDocs: { description: "Find out more", url: "http://swagger.io", }, }, ], }, }, }); });

A very requested feature for Sharkio was the auto-generation of OpenAPI documentation using the recorded HTTP requests - to create standardized documentation.

Automation QA is a lot of the same duties as manual QA, but instead of writing and executing the test plans manually, we create and update automated tests that can run those validations programmatically, for example by using Selenium to automatically fill out and submit forms for a web application, or using Postman and/or Swagger to generate an API conversation test.