Documenting your API

A REST API should spend almost all of its descriptive effort in defining the media type(s) used for representing resources and driving application state.

— Roy Fielding, REST APIs must be hypertext driven

REST framework provides built-in support for generating OpenAPI schemas, which can be used with tools that allow you to build API documentation.

There are also a number of great third-party documentation packages available.

Generating documentation from OpenAPI schemas

There are a number of packages available that allow you to generate HTML documentation pages from OpenAPI schemas.

Two popular options are Swagger UI and ReDoc.

Both require little more than the location of your static schema file or dynamic SchemaView endpoint.

A minimal example with Swagger UI

Assuming you've followed the example from the schemas documentation for routing a dynamic SchemaView, a minimal Django template for using Swagger UI might be this:

<!DOCTYPE html>
    <meta charset="utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link rel="stylesheet" type="text/css" href="//" />
    <div id="swagger-ui"></div>
    <script src="//"></script>
    const ui = SwaggerUIBundle({
        url: "{% url schema_url %}",
        dom_id: '#swagger-ui',
        presets: [
        layout: "BaseLayout"

Save this in your templates folder as swagger-ui.html. Then route a TemplateView in your project's URL conf:

from django.views.generic import TemplateView

urlpatterns = [
    # ...
    # Route TemplateView to serve Swagger UI template.
    #   * Provide `extra_context` with view name of `SchemaView`.
    path('swagger-ui/', TemplateView.as_view(
    ), name='swagger-ui'),

See the Swagger UI documentation for advanced usage.

A minimal example with ReDoc.

Assuming you've followed the example from the schemas documentation for routing a dynamic SchemaView, a minimal Django template for using Swagger UI might be this:

<!DOCTYPE html>
    <!-- needed for adaptive design -->
    <meta charset="utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <link href=",400,700|Roboto:300,400,700" rel="stylesheet">
    <!-- ReDoc doesn't change outer page styles -->
      body {
        margin: 0;
        padding: 0;
    <redoc spec-url='{% url schema_url %}'></redoc>
    <script src=""> </script>

Save this in your templates folder as redoc.html. Then route a TemplateView in your project's URL conf:

from django.views.generic import TemplateView

urlpatterns = [
    # ...
    # Route TemplateView to serve the ReDoc template.
    #   * Provide `extra_context` with view name of `SchemaView`.
    path('redoc/', TemplateView.as_view(
    ), name='redoc'),

See the ReDoc documentation for advanced usage.

Third party packages

There are a number of mature third-party packages for providing API documentation.

drf-yasg - Yet Another Swagger Generator

drf-yasg is a Swagger generation tool implemented without using the schema generation provided by Django Rest Framework.

It aims to implement as much of the OpenAPI specification as possible - nested schemas, named models, response bodies, enum/pattern/min/max validators, form parameters, etc. - and to generate documents usable with code generation tools like swagger-codegen.

This also translates into a very useful interactive documentation viewer in the form of swagger-ui:

Screenshot - drf-yasg

Django REST Swagger

Marc Gibbons' Django REST Swagger integrates REST framework with the Swagger API documentation tool. The package produces well presented API documentation, and includes interactive tools for testing API endpoints.

Django REST Swagger supports REST framework versions 2.3 and above.

Mark is also the author of the REST Framework Docs package which offers clean, simple autogenerated documentation for your API but is deprecated and has moved to Django REST Swagger.

This package is fully documented, well supported, and comes highly recommended.

Screenshot - Django REST Swagger

DRF AutoDocs

Oleksander Mashianovs' DRF Auto Docs automated api renderer.

Collects almost all the code you written into documentation effortlessly.


  • functional view docs
  • tree-like structure
  • Docstrings:
  • markdown
  • preserve space & newlines
  • formatting with nice syntax
  • Fields:
  • choices rendering
  • help_text (to specify SerializerMethodField output, etc)
  • smart read_only/required rendering
  • Endpoint properties:
  • filter_backends
  • authentication_classes
  • permission_classes
  • extra url params(GET params)

whole structure


There are various other online tools and services for providing API documentation. One notable service is Apiary. With Apiary, you describe your API using a simple markdown-like syntax. The generated documentation includes API interaction, a mock server for testing & prototyping, and various other tools.

Screenshot - Apiary

Self describing APIs

The browsable API that REST framework provides makes it possible for your API to be entirely self describing. The documentation for each API endpoint can be provided simply by visiting the URL in your browser.

Screenshot - Self describing API

Setting the title

The title that is used in the browsable API is generated from the view class name or function name. Any trailing View or ViewSet suffix is stripped, and the string is whitespace separated on uppercase/lowercase boundaries or underscores.

For example, the view UserListView, will be named User List when presented in the browsable API.

When working with viewsets, an appropriate suffix is appended to each generated view. For example, the view set UserViewSet will generate views named User List and User Instance.

Setting the description

The description in the browsable API is generated from the docstring of the view or viewset.

If the python Markdown library is installed, then markdown syntax may be used in the docstring, and will be converted to HTML in the browsable API. For example:

class AccountListView(views.APIView):
    Returns a list of all **active** accounts in the system.

    For more details on how accounts are activated please [see here][ref].


Note that when using viewsets the basic docstring is used for all generated views. To provide descriptions for each view, such as for the the list and retrieve views, use docstring sections as described in Schemas as documentation: Examples.

The OPTIONS method

REST framework APIs also support programmatically accessible descriptions, using the OPTIONS HTTP method. A view will respond to an OPTIONS request with metadata including the name, description, and the various media types it accepts and responds with.

When using the generic views, any OPTIONS requests will additionally respond with metadata regarding any POST or PUT actions available, describing which fields are on the serializer.

You can modify the response behavior to OPTIONS requests by overriding the options view method and/or by providing a custom Metadata class. For example:

def options(self, request, *args, **kwargs):
    Don't include the view description in OPTIONS responses.
    meta = self.metadata_class()
    data = meta.determine_metadata(request, self)
    return data

See the Metadata docs for more details.

The hypermedia approach

To be fully RESTful an API should present its available actions as hypermedia controls in the responses that it sends.

In this approach, rather than documenting the available API endpoints up front, the description instead concentrates on the media types that are used. The available actions that may be taken on any given URL are not strictly fixed, but are instead made available by the presence of link and form controls in the returned document.

To implement a hypermedia API you'll need to decide on an appropriate media type for the API, and implement a custom renderer and parser for that media type. The REST, Hypermedia & HATEOAS section of the documentation includes pointers to background reading, as well as links to various hypermedia formats.