FastAPI Review

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

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'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 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.

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

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

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.