Ruby on Rails vs FastAPI

The sheer scale and massive number of developers using Rails has produced a large number of guides, tutorials, plugins, documentation, videos and anything that can help new and old Rails developers.

There are many third-party plugins (Ruby gems) available for Rails development. The larger ones and those that have a lot of downloads and users are very well documented and easy to use.

Ruby has a very clean syntax that makes code easier to both read and write than more traditional Object Oriented languages, such as Java. For beginning programmers, this means the focus is on the meaning of the program, where it should be, rather than trying to figure out the meaning of obscure characters.

presidents = ["Ford", "Carter", "Reagan", "Bush1", "Clinton", "Bush2"]
for ss in 0...presidents.length
    print ss, ": ", presidents[presidents.length - ss - 1], "\n";
end

MVC is a great starting point, and perfect for APIs. You'll rarely if ever have to wonder "where should I put this code?"

The large number of documentation, tutorials, videos and guides which help new developers who are just starting with Rails make it seem very easy to create a small and simple application by relying on code generation and components that come out of the box with Rails.

Rails is supported on every major Cloud hosting service nowadays. There are also countless tutorials that help developers deploy their Rails apps if there are any problems on the way.

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.