Django vs FastAPI

Django's philosophy of batteries included means that experienced developers won't have to plan too much ahead on what kind of application infrastructure they need and instead just start developing web applications quickly.

Django supports Object-Relational Mapping. With models defined as Python classes which are actually subclasses of Django's django.db.models.Model.

Each attribute of the model is then represented as a database field. Queries are lazily executed and Django gives developers an automatically-generated database-access API.

The official Django documentation is probably some of the best around. Well written, thorough and they explain every little detail of the framework. Django is also a very popular tool, with an extensive community and a lot of experienced developers that have been using it for years. This means that there are a lot of guides and tutorials out there for new and experienced developers alike.

Django is in itself a highly customizable web framework. The database, template framework and ORM can all be swapped out.

Django comes with a highly customizable admin panel and authentication out of the box. This makes the development and production of a simple CMS extremely easy.

Django was first released in 2005, it has had a lot of time to mature and become better with each release. It also has by far the largest community out of all python frameworks who have continuously over the years built and maintained many powerful plugins.

Django follows some pretty well established MVC patterns. With everything in place and where requests follow a clear path through urlresolvers, middleware, view and context processors.

Just a few lines of code can instruct Django to create all the tables and fields required in your database automatically. Schemas are managed with "migrations", that are also created automatically, and can be rolled out from your development box and implemented on production systems with just a single command.

This performs any database changes required, from table creation, indexes, renaming fields, and pre-populating initial data. Each migration builds on the previous migrations, so you can trace the evolution of your data and even recreate the layout of your database at any point in the lifecycle of your application.

It has a simple but powerful dependency injection system, it can be used to handle authentication, per-user rate limiting, authorization controls (e.g. with roles), etc.

It is based on standards: OpenAPI, JSON Schema and OAuth 2.0.

It validates the data using the types you declared. Even in deeply nested JSON requests.

It's based on Starlette and Pydantic, so, it's one of the fastest Python frameworks.

It is based on Python type declarations, so, editors and tools can give great support. Including type checks and autocompletion everywhere.

It's easy to develop API based applications in Python on deadlines for Android and IOS Development.

It generates interactive API documentation automatically from your code.

It's independent of database or ORM, but compatible with all of them. Including relational databases and NoSQL.

It's based on Async IO, which gives it high concurrency. But you can use non-async libraries and it runs them appropriately.

It has some of the best documentation of any framework.

Because it's an async framework, it can handle async-native protocols like WebSockets.

It has integrated support for OAuth 2.0. Including declaring required scopes per endpoint. So, you can easily integrate it with external OAuth 2.0 providers or build your own with it.

Included support for background tasks, thanks to being based on Starlette.

Python's graphene library is included as an optional dependency meaning that GraphQL API's are supported out of the box, with no additional tweaking needed.