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Django Ninja - Fast Django REST Framework

Django Ninja

Django Ninja is a web framework for building APIs with Django and Python 3.6+ based type hints.

Key features

  • Easy: Designed to be easy to use and intuitive.
  • Fast: Very high performance thanks to Pydantic and async support.
  • Fast to code: Type hints and automatic docs let's you focus only on business logic.
  • Standards-based: Based on the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.
  • Django friendly: (obviously) have good integration with Django core an ORM.


Django Ninja REST Framework


pip install django-ninja

Quick Example

Start a new django project (or use existing)

django-admin startproject apidemo


from django.contrib import admin
from django.urls import path
from ninja import NinjaAPI

api = NinjaAPI()

def add(request, a: int, b: int):
    return {"result": a + b}

urlpatterns = [
    path("api/", api.urls),

Now, run it as usual:

./ runserver

note: you don't have to add django-ninja to your intalled apps.

Check it

Open your browser at

You will see the JSON response as:

{"result": 3}

You already created an API that:

  • Receives HTTP GET request at /api/add
  • Takes, validates and type-casts GET parameters a and b
  • Decodes to JSON operation result
  • Generates an OpenAPI schema for defined operation

Interactive API docs

Now go to

You will see the automatic interactive API documentation (provided by Swagger UI):

Swagger UI


In summary, you declare once the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

Just standard Python 3.6+.

For example, for an int:

a: int

or for a more complex Item model:

class Item(Schema):
    foo: str
    bar: float

def operation(a: Item):

...and with that single declaration you get:

  • Editor support, including:
    • Completion.
    • Type checks.
  • Validation of data:
    • Automatic and clear errors when the data is invalid.
    • Validation even for deeply nested JSON objects.
  • Conversion of input data: coming from the network to Python data and types. Reading from:
    • JSON.
    • Path parameters.
    • Query parameters.
    • Cookies.
    • Headers.
    • Forms.
    • Files.
  • Automatic interactive API documentation

This project was heavily inspired by FastAPI (developed by Sebastián Ramírez)