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 has some of the best documentation of any framework.

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

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

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

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.

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

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 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.

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.