Karate VS orval

This is why we need better tools which will give benefits for the added complexity. If you need to create both the feature files AND the code, it's just complexity with little benefits. But frameworks like https://github.com/karatelabs/karate or https://github.com/Endava/cats are hiding this complexity and remove the code layer entirely. Which, in my view, this is where you need to be in 2023, particularly for API testing.

- https://insomnia.rest/ - https://hoppscotch.io/ - https://github.com/karatelabs/karate - https://github.com/warmuuh/milkman

Congrats on the launch ! I'm the lead dev of [Karate](https://github.com/karatelabs/karate) and was wondering if you had come across it. I strongly agree that collaboration should be [via Git](https://www.karatelabs.io/first-class-citizens) and the IDE and traditional solutions fall short. I hope Karate's syntax passes your "memory friendly" test :) We get regular feedback is that it is easy to read and even non-programmers can pick it up. One thing I feel we do really well is chaining of HTTP requests. And we have plugins for [IntelliJ](https://plugins.jetbrains.com/plugin/19232-karate) and [VS Code](https://marketplace.visualstudio.com/items?itemName=karatela...).

Maintaining a tool like this as open-source is hard, all the best !

FWIW https://github.com/karatelabs/karate is 83% Java.

We use karate to test our fully integrated graphql backend. Has Gherkin language support.

Try Karate

Take a look at Karate.

In cases where the client needs to stay separate, we have had a good experience with Orval[1] to generate a fully-typed @tanstack/query client from our OpenAPI spec.

[1] https://orval.dev/

- Vite/React/Tailwind for the frontend, with [Orval](https://orval.dev/) to generate FE definitions based on the API spec.

For non-API/SPA use-cases, it also has good HTML support, with built-in Jinja and HTMX integrations. The docs are great (https://docs.litestar.dev/latest/ - not quite Django-tier but that's the gold standard), however the reference application is a tad too complex imo (https://github.com/litestar-org/litestar-fullstack).

https://github.com/litestar-org/awesome-litestar has a list of useful extensions - highly recommend trying it out if you are starting a new Python web project.

In order to generate the API client, there are a few options available, but we are going to use (Orval)[https://orval.dev]. Orval is a CLI tool that generates API clients based on an OpenAPI specification. It supports TypeScript, JavaScript, Axios, React, Vue, Angular and Svelte and it's highly customizable.

I would use "reveal": "never" if I don't care about the results of the command, for example, I generate swagger types using orval.dev on every folder open, but I want this to run in background as it's not that important, so I use "reveal": "never" for it.

we started using (and now contributing to) https://orval.dev/ this year which both generates the mocks using MSW as well as the client-side networking code (React Query in our case). It removes so much boilerplate its amazing.

wrote up the basics of our workflow few weeks ago https://betaacid.co/blog/api-contracts

Personally, find gRPC-Web very attractive but the current state of TypeScript/JS code-gen is very confusing and lacking.

I would love something like https://orval.dev for gRPC-web. Have I missed something or is it just early to expect it?

I tried a few libraries but couldn't get them to work or would generate unappealing results. I believe I'm hitting this issue with my local experiments. https://github.com/grpc/grpc-web/issues/535

This is a Library I've used in the past, https://github.com/anymaniax/orval

If you have OpenAPI specs to work with you could also use Orval (https://orval.dev/) to generate a lot of code. We’re just starting to evaluate it at work but so far the team that’s trialing it is liking it.

On the frontend we can use the OpenAPI docs to generate the TS types for our data structures. Not only types but fetch functions as well as react-query hook can be generated as well. And in this blog post you can see how to do that with a library called Orval.

On this page, we’ll use a code generator called Orval.