Compare Django and FastAPI
Django is Python web framework that encourages rapid development. It is based model-template-view (MTV) design pattern. It follows a "batteries included" philosophy and ships with many tools that are needed by application developers such as ORM framework, admin panel, directory structure and more.
Fast API is a high-performance web framework for building web applications with Python 3.6+ based on standard Python type hints. It is designed to be high performance and easy to learn.
Let's see how Django and FastAPI compare on various factors and features and which to choose when.
Python all-inclusive, megaframework for building web application.
Minimalistic framework based on starlette and pydantic for building fast web applications using async IO.
Used by 367,000 projects.
New addition to the Python web frameworks family but its popularity is on the rise.
Instagram, Pinterest, Coursera, Udemy.
Uber (internal use,) Explosion AI, Microsoft (internal use)
2074 job openings which list Django as a requirement.
5 job openings which list Fast API as a requirement.
Not as fast as compared to bare-bones Flask or other microframeworks, but for many real-world use cases, the difference is negligible.
Django expects things to be done in a certain way unlike microframeworks (e.g. Flask) which have no opinion on how developers structure things. However, It does this without compromising on flexibility. Django has been used to build a variety of things from content management systems to social networks to scientific computing platforms.
Fast API is flexible to code and doesn't restrict users to a particular project or code layout.
Ease of Learning
Has a learning curve especially for those who are not familiar with other web frameworks. But there are some great online resources, courses tutorials and YouTube videos.
Ease of Learning
Easy to learn especially for people who are new to web development. However, it doesn't have a large number of online resources, courses and tutorials.
Django ships with a built-in ORM framework
for developers to start using out of the box.
Verdict ORM is one of the best features of Django, loved by developers.
Through Plugins or Extensions
FastAPI doesn't come with built in ORM, however is compatible with SQLAlchemy
, Pydantic ORM mode.
NoSQL databases are not officially supported by Django. There are open source projects like PynamoDB
or Django MongoDB Engine
, Django non-rel
to support NoSQL. Some of these extensions support specific Django versions and don't interplay
well with Django ORM.
Verdict Using NoSQL database with Django is not recommended.
Fast API supports many NoSQL databases like MongoDb, ElasticSearch, Cassandra, CouchDB and ArangoDB. Read more here
Django ships with a web-based admin site that has a friendly UI. It allows you to quickly perform CRUD operations against your models from your browser to test things out.
Yes, uses Swagger as an API documentation web user interface.
While not built-in, REST development is supported via the popular and active Django REST Framework
project. It provides support for API versioning, Browsable API
for interacting with APIs through web browser, authentication (OAuth1 and OAuth2) and serialization support for both ORM and non-ORM sources.
Yes, allows developers to build REST APIs quickly.
Built-in protection against several common attack vectors like CSRF, XSS, and SQL injection. When vulnerabilities are discovered, the Django team has an excellent security policy
are released quickly.
FastAPI provides several tools for many security schemes in the fastapi.security module. Not enough data.
FastAPI supports Jinja2 for templating and also supports aiofiles for serving static files
Ships with built-in ModelForms
which provides complete support for web forms including input validation, CSRF, XSS, and SQL injection.
Ships with it's own Forms
, with basic features.
, authorization, account management and support for sessions.
Fast API supports OAuth2, JWT and simple HTTP authentiation.
Built-in support using Python's unittest
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This page was made possible thanks to contributions from Soumyaranjan Acharya
who provided data and write up for Fast API.