FeathersJS vs FastAPI

Feather can sync events happening in two different Node processes or even servers in real-time. For example: an event happens in server A, the user connected to server B is instantly notified of that event.

This is done through a central Redis or Mongo collection or through a websocket libraries' clustering library.

Through services, Feathers provides instant CRUD functionality, it also can easily expose a RESTful and real-time API through HTTP/HTTPS and websockets.

Since Feathers itself is built on top of Express (it's a thin wrapper over socket.io, primus and Express) and because of Feathers' highly modular nature, it's very easy to integrate Feathers in an existing Express project.

Feathers makes extensive use of modules (which are called Feathers services). These services work like ExpressJS middleware and can be used with app.use('/path', serviceObject).

Services help developers keep their applications modular and as minimal as possible, without any unnecessary libraries or bloat.

FeatherJS uses primus which is a universal wrapper for real-time frameworks. Through primus you can easily choose which socket transport you want to use.

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.