Oat++ VS fastapi

I looked at oatpp and drogon, which are both great, but feel too high-level for my purposes. I tried drogon and got something working, but it feels like too much for my requirements, as in particular I'd like to slot in my choice of Json and message-body handling. C.f. the simple approach in Crow, which I easily understand and build on.

With the right libraries, C++ could be a good fit for applications that want to expose a fast web API to things that need lots of compute (simulators, for instance) or I/O (interactive editing of large datasets). Projects like Oat++ and Crow give me hope that we might see such an ecosystem develop.

Lots of other options have been mentioned, but I'll throw Oat++ into the mix. I used it for this purpose and it was reasonably painless.

https://github.com/oatpp/oatpp +WASM ;)

cd "some/temp/path/for/repositories" git clone https://github.com/oatpp/oatpp.git cd oatpp mkdir build && cd build cmake .. (sudo) make install

Maybe use something like https://oatpp.io to create a REST API: C++ in the backend with this library to create a REST server, and the JavaScript/TypeScript frontend to ask for the information.

I've used OATPP ( https://github.com/oatpp/oatpp ) which worked nicely for setting up simple rest interfaces. Supports things like swagger & websockets out of the box. It's also on Conan which is nice if you use cmake. I can't speak to it's performance but it has about a 1mb binary size footprint.

As for your web problem, I have only used https://oatpp.io/ in the past but I'm sure there are more frameworks like that on the internet.

FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.

We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include: