DRF has built-in support for creating a human browsable interface that addresses several problems mentioned in this pattern. Visiting an API endpoint using a browser generates a documentation of the API endpoint with the supported HTTP operations and an ability to interact with them.

Your API documentation can be made more comprehensive and interactive using Swagger, or using DRF's own coreapi tool. Swagger has the ability to find all the API endpoints of your application without access to its source code. It can also be used for testing the endpoints by sending requests and responses.

Alternatively, you can use coreapi quite easily by plugging a line to your urls.py; consider the following by way of an example:

from rest_framework.documentation import include_docs_urls 
 
urlpatterns = [ 
 
    path('api-docs/', include_docs_urls(title='Superbook API')), 
] 

If you visit the preceding location in your browser, you will see the following ready-to-use API documentation:

Note how the API documentation includes code examples in Python (and other languages).

Some best practices to follow while creating an API documentation are as listed:

• Easy and quick onboarding: Make it easy for developers to get up and running with ready-to-run examples and tutorials. Ideally, it should not take a developer more than five minutes to understand your API and start using it.
• Interactive sandbox: Give your interactive documentation demo user credentials and some representative sample data to work with, rather than keeping it empty.
• Go beyond endpoints: Ensure that you cover essential topics such as how to obtain authentication tokens or pricing, as well as high-level concepts.

Good API documentation is crucial for its adoption and can even overcome a poorly designed API, so it is worth putting your time and effort into it.