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Comparison of FastAPI with Django and Flask

Last Updated : 04 Nov, 2023
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For starters, as you may know, Python is an interpreted programming language that is becoming more and more popular for building web applications. However, there are numerous web frameworks to choose from but they all have different use cases. In this article, we will look at 3 frameworks which are :

  1. Django – It follows the model-template-view architectural pattern and a DRY principle (Don’t Repeat Yourself).
  2. Flask – This is based on the Werkzeug WSGI toolkit and Jinja2 template engine.
  3. FastAPI – It is a micro-web-framework based on Pydantic and type hints.

After reading this article, you’ll be able to compare these frameworks based on various factors like Efficiency, Readability, Use Case, etc. which should help you make a better choice for your web application.

What is Django?

Django is an open-source full-stack web framework written in Python that follows the MTV (model-template-view) architectural pattern and a DRY principle (Don’t Repeat Yourself). It was made by Adrian Holovaty and Simon Willison and was publicly published in 2005. The name given is based on the singer Django Reinhardt. For more information regarding Django, you can read this article.

What is Flask?

Flask is an open-source beginner-friendly micro-web framework written in Python that follows the MVC (model-view-controller) architectural pattern and supports Jinja templates, which can be used to create views. It was made by Armin Ronacher of Pocoo, an international group of Python enthusiasts formed in 2004. The name “Flask” is a reference to the earlier Bottle framework. For more information regarding Flask, you can read this article.

What is FastAPI?

FastAPI is also an open-source Starlette-ASGI (Asynchronous Server Gateway Interface) micro-web framework written in Python used to create RESTful APIs. It was made by Sebastián Ramírez in December 2018. The name is based on the speed to develop API hence ‘FastAPI’. For more information regarding Flask, you can read this article.

Comparison Between FastAPI vs Django

Parameters

Django

FastAPI

Flask

Type

Full-stack web framework

Micro-web framework

Micro-web framework

Use Case

Build complex web applications & APIs

Build APIs & Microservices

Ideal for building small web applications and simple APIs

Performance

Fast for building large web application

Very Fast for building APIs and Microservices

Slower because of manual validation and synchronized programming.

Scalability

Scalable but it’s ORM and template engine can make it slower to scale

Highly Scalable, as it uses asynchronize code and type annoations.

Difficult to scale as there is no in-built support for ORM or caching.

Learning Curve

Complex for beginners

Simple for beginners

Moderate for beginners

Database Tools

Comprehensive set

Limited, no built-in support

Limited, no built-in support

Asynchronous Programming

Yes, can be done with help of Asyncio but little slower.

Yes, but faster beacuse of Pydantic.

No, but can we done using other libraries.

ORM (Object-relational mapping)

Yes

No

No

Community

Large and active

Small but growing

Large and active

Documentation

Huge

Small but still growing

Big

Advantages

It is a great choice who want to build web applications that are secure, scalable, flexible, and easy to maintain

It is a great choice for building fast performance APIs and microservices

It is a great choice to build small to medium level web application and where performance is not much of a issue and developer need flexibility.

Disadvantages

It can be Complex for beginners, hard to debug and not suitable for small projects

Main files can we crowdy and lack of built-in security.

No built-in support for caching, ORM, asynchronization, etc

Basic Code: FastAPI

Let’s compare same code in different frameworks.

Example: Here is a simple example of how to create a GET endpoint in FastAPI:

Python3




from fastapi import FastAPI
 
app = FastAPI()
 
@app.get("/")
def hello():
    return {"Hello": "World"}


Asynchronize Code using FastAPI:

Python3




from fastapi import FastAPI
 
app = FastAPI()
 
 
@app.get("/")
async def hello():
    return {"Hello": "World"}


Basic Code: Flask

Example: Here is the same example in Flask

Python3




from flask import Flask
 
app = Flask(__name__)
 
 
@app.route("/", methods=["GET"])
def hello():
    return "Hello World"
 
 
if __name__ == '__main__':
    app.run(debug=True)


Basic Code: Django

Example: Here is the same example in Django.

myapp/views.py

Python3




from django.http import HttpResponse
 
def hello(request):
    return HttpResponse("Hello World")


myapp/urls.py

Python3




from django.urls import path
 
from .views import home_page_view
 
urlpatterns = [
    path("", hello, name="home"),
]


myproject/urls.py

Python3




from django.contrib import admin
from django.urls import path, include
 
urlpatterns = [
    path("admin/", admin.site.urls),
    path("", include("pages.urls")),
]


Output: Output for all the frameworks will be the same; the port number will differ according to the framework.

Framework

Default Port Number

FastAPI

8000

Flask

5000

Django

8000

Also, the creation and execution of your file will differ according to the framework.

FastAPI

Screenshot-(249)

FastAPI

Flask

Screenshot-(248)-(1)

Flask

Django

Screenshot-(250)

Django

Conclusion

Therefore now we can conclude that we can use FastAPI for its high performance in API development, Flask can be used to build small to medium projects with great flexibility, and Django to build feature-rich, large-scale applications.



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