Python REST API: Comparing Flask, FastAPI, and Django

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Introduction:

REST (Representational State Transfer) API is a popular architectural style for designing networked applications. It allows different systems to communicate with each other over the internet using standard protocols and data formats. In this tutorial, we will explore how to create a REST API in Python using three popular web frameworks: Flask, FastAPI, and Django.

  1. Flask:

Flask is a lightweight and flexible web framework for Python that provides tools and libraries to build web applications easily. It is widely used for creating REST APIs due to its simplicity and ease of use.

To create a REST API in Flask, follow these steps:

Step 1: Install Flask using pip:

pip install Flask

Step 2: Create a new Flask project and navigate to its directory:

mkdir my_flask_app
cd my_flask_app

Step 3: Create a new Python file (e.g., app.py) and write the following code to define a simple REST API endpoint:

from flask import Flask

app = Flask(__name__)

@app.route('/hello')
def hello():
    return 'Hello, World!'

if __name__ == '__main__':
    app.run()

Step 4: Run the Flask application:

python app.py

Step 5: Open a web browser and navigate to http://127.0.0.1:5000/hello to see the response Hello, World!.

  1. FastAPI:

FastAPI is a modern web framework for building APIs with Python that is fast, intuitive, and easy to use. It is designed for high performance and productivity, making it a great choice for creating REST APIs.

To create a REST API in FastAPI, follow these steps:

Step 1: Install FastAPI and Uvicorn using pip:

pip install fastapi uvicorn

Step 2: Create a new FastAPI project and navigate to its directory:

mkdir my_fastapi_app
cd my_fastapi_app

Step 3: Create a new Python file (e.g., main.py) and write the following code to define a simple REST API endpoint:

from fastapi import FastAPI

app = FastAPI()

@app.get('/hello')
def hello():
    return {'message': 'Hello, World!'}

if __name__ == '__main__':
    import uvicorn
    uvicorn.run(app, host='127.0.0.1', port=8000)

Step 4: Run the FastAPI application:

uvicorn main:app --reload

Step 5: Open a web browser and navigate to http://127.0.0.1:8000/hello to see the response {"message": "Hello, World!"}.

  1. Django:

Django is a high-level web framework for Python that follows the model-view-template (MVT) pattern. It is feature-rich and includes built-in tools for handling authentication, database management, and more, making it a robust option for building REST APIs.

To create a REST API in Django, follow these steps:

Step 1: Install Django using pip:

pip install Django

Step 2: Create a new Django project and navigate to its directory:

django-admin startproject my_django_project
cd my_django_project

Step 3: Create a new Django app within the project:

python manage.py startapp my_django_app

Step 4: Define a model in models.py and run migrations:

from django.db import models

class Message(models.Model):
    content = models.CharField(max_length=255)
python manage.py makemigrations
python manage.py migrate

Step 5: Create a serializer in serializers.py to convert model instances to JSON:

from rest_framework import serializers
from .models import Message

class MessageSerializer(serializers.ModelSerializer):
    class Meta:
        model = Message
        fields = ['id', 'content']

Step 6: Define a view in views.py to handle API requests:

from rest_framework import viewsets
from .models import Message
from .serializers import MessageSerializer

class MessageViewSet(viewsets.ModelViewSet):
    queryset = Message.objects.all()
    serializer_class = MessageSerializer

Step 7: Register the view in urls.py to create API endpoints:

from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .views import MessageViewSet

router = DefaultRouter()
router.register(r'messages', MessageViewSet)

urlpatterns = [
    path('', include(router.urls)),
]

Step 8: Run the Django development server:

python manage.py runserver

Step 9: Open a web browser and navigate to http://127.0.0.1:8000/messages to see the list of messages or make API requests using tools like Postman.

Conclusion:

In this tutorial, we have explored how to create a REST API in Python using three popular web frameworks: Flask, FastAPI, and Django. Each framework has its strengths and weaknesses, so choose the one that best fits your project requirements. By following the steps outlined in this tutorial, you can create efficient and scalable REST APIs for your applications.

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@jasonscala5834
2 hours ago

I ❤ Flask

@soniyaprasad77
2 hours ago

Is it really a video, if he can teach this well only with audio, idk how his video explanation is going to be. 🙂

@imansyaefulloh
2 hours ago

Really great explanation, thanks

@Sam-tg4ii
2 hours ago

Thank you for the clear and concise comparison. One question: can the FastAPI's documentation page be used as a GUI for the API? I mean it is possible to put that on a server so a user can access it, enter values as inputs and get a reponse back?

@siphr
2 hours ago

Honestly, I do not know why anybody should now consider Django/Flask rest,now that we have fastapi, which is a rest first framework instead of a bolt on plugin…

@josemariadiy6400
2 hours ago

Hi.
Hola, buen video 👍
Consulta: de los 3 frameworks: Django, FastApi y Flask… Cuál recomendarias para este 2022.o 2023.??

Saludos

@anasaljawa858
2 hours ago

Great video, thank you.

@6Sambora
2 hours ago

I'm looking for a framework similar to Laravel with Database migrations. Any idea?

@user-qv7rw7dq1d
2 hours ago

Holy shit. In 5 minutes you cleared up little doubts I've had over the past few years. You need to do more. Your channel will blow up.

@DaniloSilva-pl3sq
2 hours ago

I don't have much time to elaborate a comment (I have to create my first REST API with Python today as a technical challenge for a job), but: FANTASTIC VIDEO!!!!!!!!!

@tudatostrader
2 hours ago

Love your voice and clear explanation! Keep it going!

@kennstack01
2 hours ago

Hello

@stunning-computer-99
2 hours ago

Extremely helpful!

@wackyator
2 hours ago

v good vid, keep at it, you'll blow up soon

@joaovictor-dl6ve
2 hours ago

Who is more fast? Based on performance and scaling?

@pingyunao5112
2 hours ago

Great video, thank you. I'd love to see a simple project in FastAPI from start to finish.

You have a great style, keep it up.

@someslav7337
2 hours ago

Love the content!

@bronxed3666
2 hours ago

wow. did not know about the fast api. thank you
very helpful video

@Linuxdeveloper
2 hours ago

Ok – Im' your 14'th subscriber…

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