fastapi VS Tornado

FastAPI Documentation: https://fastapi.tiangolo.com/

FastAPI to build a tool server

Genetic Data API: Built using Fast API, PostgreSQL for genetic data storage, and Redis for caching.

Python's diverse ecosystem of web frameworks offers developers a wide range of choices for building robust and efficient applications. In the realm of asynchronous frameworks, Quart and FastAPI have emerged as popular options. While FastAPI has gained considerable attention for its speed and developer-friendly features, Quart presents a compelling alternative, especially for those already familiar with the Flask framework. This blog post delves into the strengths of both frameworks, highlighting the specific scenarios where Quart might be the more advantageous choice.

Instead, use compiler-driven (or reflection-based) OpenAPI document generators like Nestia or FastAPI. Then convert the compiler-generated OpenAPI to a specific AI function schema using the @samchon/openapi library, as shown below.

Let's look at how to use Rapyd to build a simple system where you can onboard merchants, add products, receive payments, and receive payouts, all powered by Rapyd's API. To fully integrate this system, businesses can sign up as a Rapyd partner to access additional capabilities for managing merchant transactions. In this tutorial, you'll see how to use the FastAPI framework in Python to create endpoints for each step: onboarding merchants, adding products, receiving payments, and receiving payouts.

Solutions to this problem generate API documentation automatically. Libraries such as drf-spectacular use code structure and semantics in back-end frameworks to infer API contracts. API frameworks such as FastAPI and Huma generate OpenAPI specifications as a built-in feature. Tools like mitmproxy2swagger generate documentation from HAR files. Finally, companies such as Akita Software/Postman use network traffic metadata.

FastAPI is a fast and modern web framework written in Python. It's often deployed in containers. You could also use Mangum, but we'll cover that another time. For now, we're using SCF to deploy our FastAPI application.

3. FastAPI - Web framework for building APIS

For this tutorial I will be using a example fastapi API written with Python 3.13.0.

I don't think this is about a niche but rather a broader need for lists, more specifically, integrated lists from users. Pinterest, for example, is built around lists, Amazon has wishlists, IMDb[1] provides movie rankings, etc.

From a data portability perspective, the real challenge is getting users to connect all these platforms to a kind of unified list, making it accessible for queries, machine learning, or other applications. This, in my view, is a traction problem rather than a technical one, independent of whether it justifies a business. FriendFeed[2] was a very interesting project where users could connect their profiles with many services and their followers sees updates. It seems their Tornado web server keeps getting updated [3].

More than a decade ago, I explored some of these ideas [4][5], conceptualizing a directed acyclic graph (DAG) model where data operations could be performed at a global level, dynamically recalculating like a spreadsheet.

[1] My movies ranking: https://www.imdb.com/user/ur0601133/ratings/

[2] https://en.wikipedia.org/wiki/FriendFeed

[3] https://github.com/tornadoweb/tornado

[4] https://blog.databigbang.com/ideas-egont-a-web-orchestration...

[5] https://blog.databigbang.com/egont-part-ii/

I am not expert in these but I thought Tornado's ioloop was readable enough for me to learn more event loops. Mostly, it was being implemented in pure Python.

https://github.com/tornadoweb/tornado/blob/branch4.5/tornado...

(Had to be in 4.5 because the newer versions 5.x and 6.x, it's switched to Python's stdlib asyncio)

I am a bit confused, Tornado is web server like a apache http server, or a framework like django, or both?

For Python, I use Tornado.

tornado? this https://github.com/tornadoweb/tornado ?

I'm writing a Node app that talks to a server that uses Tornado, a Python networking framework. The server uses WebSocket and structured JSON to expose RPCs, like sign_on called with the following message: