When comparing Iris vs FastAPI, the Slant community recommends FastAPI for most people. In the question“What are the best backend web frameworks?” FastAPI is ranked 4th while Iris is ranked 56th. The most important reason people chose FastAPI is:
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.
Specs
Ranked in these QuestionsQuestion Ranking
Pros
Pro No need to find and install external libraries
Iris is a "batteries included" web framework, which means that a lot of features already come out of the box. This way you don't have to spend time and find third-party libraries to integrate to the framework for most of the tasks you need to complete.
Pro Efficiency
Efficiency by using a light engine.
Pro Development
Pro API
If you're familiar with expressjs or other modern web frameworks, Iris will make you feel at home.
Pro More than feature complete
Pro More than 250 examples
More than 250 examples for implementing web application.
Pro Low amount of bugs
Most issues are questions, few bug reports and if a bug is found it's quickly patched.
Pro Good for big projects
Iris is a good framework for big projects and the author helps solving problems.
Pro Dependency injection
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.
Pro Standards
It is based on standards: OpenAPI, JSON Schema and OAuth 2.0.
Pro Data validation
It validates the data using the types you declared. Even in deeply nested JSON requests.
Pro High-performance
It's based on Starlette and Pydantic, so, it's one of the fastest Python frameworks.
Pro Editor completion
It is based on Python type declarations, so, editors and tools can give great support. Including type checks and autocompletion everywhere.
Pro One of the fastest growing communities
Pro Fast is really fast (!)
It's easy to develop API based applications in Python on deadlines for Android and IOS Development.
Pro Automatic docs
It generates interactive API documentation automatically from your code.
Pro Database independent
It's independent of database or ORM, but compatible with all of them. Including relational databases and NoSQL.
Pro Async IO / optional
It's based on Async IO, which gives it high concurrency. But you can use non-async libraries and it runs them appropriately.
Pro World class documentation
It has some of the best documentation of any framework.
Pro WebSockets
Because it's an async framework, it can handle async-native protocols like WebSockets.
Pro OAuth 2.0
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.
Pro Background tasks
Included support for background tasks, thanks to being based on Starlette.
Pro Supports GraphQL
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.
Cons
Con Previously experience with net/http
Previously experience with the Go's standard net/http package is necessary for you to move forward with Iris.
Con Author copies code
Con Smaller community
Since FastAPI is relatively new, its community is smaller than Django Rest Framework. But it can grow with time.
