APIFlask is a lightweight Python web API framework based on Flask and marshmallow-code projects. It's easy to use, high customizable, and 100% compatible with the Flask ecosystem. It starts as a fork of APIFairy and inspired by FastAPI.
With APIFlask, you will have:
- More sugars for view function (
@input()
,@output()
,@app.get()
,@app.post()
and more) - Automatic request validation and deserialization (with Webargs)
- Automatic response formatting and serialization (with Marshmallow)
- Automatic OpenAPI Specification (OAS, formerly Swagger Specification) document generation (with APISpec)
- Automatic interactive API documentation (with Swagger UI and Redoc)
- API authentication support (with Flask-HTTPAuth)
- Automatic JSON response for HTTP errors
Currently this project is in active development stage, bugs and break changes are expected. Welcome to leave any suggestions or feedbacks in this issue or just submit a pull request to improve it. Thank you!
- Python 3.7+
- Flask 1.1.0+
For Linux and macOS:
$ pip3 install apiflask
For Windows:
> pip install apiflask
- Website: https://apiflask.com
- Documentation: https://apiflask.com
- PyPI Releases: https://pypi.python.org/pypi/APIFlask
- Change Log: https://apiflask.com/changelog
- Source Code: https://github.com/greyli/apiflask
- Issue Tracker: https://github.com/greyli/apiflask/issues
- Discussion: https://github.com/greyli/apiflask/discussions
- Twitter: https://twitter.com/apiflask
from apiflask import APIFlask, Schema, input, output, abort_json
from apiflask.fields import Integer, String
from apiflask.validators import Length, OneOf
app = APIFlask(__name__)
pets = [
{
'id': 0,
'name': 'Kitty',
'category': 'cat'
},
{
'id': 1,
'name': 'Coco',
'category': 'dog'
}
]
class PetInSchema(Schema):
name = String(required=True, validate=Length(0, 10))
category = String(required=True, validate=OneOf(['dog', 'cat']))
class PetOutSchema(Schema):
id = Integer()
name = String()
category = String()
@app.get('/pets/<int:pet_id>')
@output(PetOutSchema)
def get_pet(pet_id):
if pet_id > len(pets) - 1:
abort_json(404)
return pets[pet_id]
@app.post('/pets/<int:pet_id>')
@input(PetInSchema)
@output(PetOutSchema)
def update_pet(pet_id, data):
if pet_id > len(pets) - 1:
abort_json(404)
data['id'] = pet_id
pets[pet_id] = data
return data
Save the file as app.py
, then run it with:
$ flask run
Now visit the interactive API documentation (Swagger UI) at http://localhost:5000/docs:
Or you can visit the alternative API documentation (Redoc) at http://localhost:5000/redoc:
The auto-generated OpenAPI spec file is available at http://localhost:5000/openapi.json.
For a more complete example, see /examples.
APIFlask is a thin wrapper on top of Flask, you only need to remember two differences:
- When creating an application instance, use
APIFlask
instead ofFlask
. - When creating a blueprint instance, use
APIBlueprint
instead ofBlueprint
.
For a minimal Flask application:
from flask import Flask, request, escape
app = Flask(__name__)
@app.route('/')
def hello():
name = request.args.get('name', 'Human')
return f'Hello, {escape(name)}'
Now change to APIFlask:
from apiflask import APIFlask # step one
from flask import request, escape
app = APIFlask(__name__) # step two
@app.route('/')
def hello():
name = request.args.get('name', 'Human')
return f'Hello, {escape(name)}'
In a word, to make Web API development in Flask more easily, APIFlask provided APIFlask
and APIBlueprint
to extend Flask's Flask
and Blueprint
objects, it also shipped with some helpful utilities. Other than that, you are actually using Flask.