hoverfly VS http-spec

Use https://github.com/SpectoLabs/hoverfly

Hoverfly is an open-source tool for mocking and simulating APIs. It is relatively easy to use and has a wide range of features for mocking and simulating APIs, including support for importing and exporting mock configurations, generating random data for responses, and setting up conditional responses based on the contents of incoming requests.

Depending how robust their check in is, you could intercept and emulate the reply with something like hoverfly too.

What is your recommendation? Is there one widely used in the Golang community? I have come across hoverfly, but I wanted to have a few to perform a good benchmark exercise. Thanks

However, we do not need to write the specification by hand, as there are GUI editors to perform that task. We show a couple of examples of Spotlight, which provides an easy-to-use interface:

We use Stoplight Studio https://stoplight.io/ to design APIs, one of the advantages of Stoplight Studio is the Visual interface, it generates OpenAPI specs from the design and supports OpenAPI v3, allowing users to create, edit, and view API designs using the OpenAPI standard.

I'm sorry, but you have completely misunderstood the purpose of Open API.

It is not a specification to define your business logic classes and objects -- either client or server side. Its goal is to define the interface of an API, and to provide a single source of truth that requests and responses can be validated against. It contains everything you need to know to make requests to an API; code generation is nice to have (and I use it myself, but mainly on the server side, for routing and validation), but not something required or expected from OpenAPI

For what it's worth, my personal preferred workflow to build an API is as follows:

1. Build the OpenAPI spec first. A smaller spec could easily be done by hand, but I prefer using a design tool like Stoplight [0]; it has the best Web-based OpenAPI (and JSON Schema) editor I have encountered, and integrates with git nearly flawlessly.

2. Use an automated tool to generate the API code implementation. Again, a static generation tool such as datamodel-code-generator [1] (which generates Pydantic models) would suffice, but for Python I prefer the dynamic request routing and validation provided by pyapi-server [2].

3. Finally, I use automated testing tools such as schemathesis [3] to test the implementation against the specification.

[0] https://stoplight.io/

[1] https://koxudaxi.github.io/datamodel-code-generator/

[2] https://pyapi-server.readthedocs.io

[3] https://schemathesis.readthedocs.io

One of the best tools out there for API design and governance https://stoplight.io/ you can also use the open source tool (also from Stoplight) called Spectral https://stoplight.io/open-source/spectral

Stoplight is a platform for designing, documenting, and testing APIs. Its "Mocks" feature allows you to create mock versions of your API for testing and development purposes. In addition to the mock feature, Stoplight also includes tools for API design, documentation, and testing, making it a comprehensive platform for API development.

Stoplight

JSON visualizer JSON validator YAML validator Collaborative Design & Documentation for APIs