Play Framework vs FastAPI

It's like Java, but more Haskell-y.

Play has quite a large community which provides numerous tutorials and videos related to developing with Play.
The Play official documentation covers many things, such as the framework itself but also specific stuff such as Akka, SBT and Netty.

There are also many big companies that base their main sites around Play, one of them is LinkedIn which provides third-party documentation on a regular basis.

Play uses Akka for concurrency, Scala for a templating engine, Netty as a client-server framework and SBT (Simple Build Tool) for building. And they all come out of the box.
Play also comes with the option to scaffold your applications. Play is an all-embracing ecosystem designed to increase developer productivity and shorten development times.

Play is very simple to get started. The documentation is very helpful for beginners and advanced users alike and the official website has a great "Getting Started" tutorial to begin developing with Play.

Play framework's convention over configuration methodology makes most Play projects have a very similar structure. This means that the code written for the framework is very readable. This enables a developer to switch between applications without having to relearn the ecosystem for every project. The built-in templating system also helps with code and makes it possible to have a very low count of lines of code.

Java is one of the most widely known languages, so people coming from that background can jump right in and not have to learn a new language syntax.

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.