falcon VS Dependency Injector

Falcon FastAPI Sanic Starlite (disclosure: I do work here)

Sanic is very very popular with 16.6k stars, 1.5k forks, opencollective sponsors and a very active github. Falcon is more popular than japronto with 8.9k stars, 898 forks, opencollective sponsors and a very active github too. Despite Japronto been keeped as first place by TechEmPower, Falcon is a way better solution in general with performance similar to fastify an very fast node.js framework that hits 575k requests per second in this benchmark.

I prefer Falcon for kicking up an API.

Falcon

And here's a project that's mostly Python, and optionally uses Cython https://github.com/falconry/falcon

To help with the above two cases I would consider using a microframework, and the Python community provides many solutions. In my professional career I’ve had the opportunity to work with three very good alternatives to Django: Flask, Falcon, and Fast API. Flask is designed to be easy to use and extend. It follows the principles of minimalism and gives more control over the app. Choosing it, developers can use multiple types of databases, which is not easy to do in Django. We can also plug in our favorite ORM and use it without any risk of unpredictable app behavior. In contrast to Django, it’s easy to integrate NoSQL databases with Flask.

This may not be exactly what you asked for but I found contributing to open source projects really exposed me to different approaches I never would have considered and may not have fully grasped had I not had to actually dive into the code to solve an issue. Falcon is a great place to start and the guys are super friendly there.

https://falcon.readthedocs.io/en/stable/ https://fastapi.tiangolo.com/

Nothing to do with the nature of the language, but with the nature of the program.

If you're writing a few line script, you don't need a DI container. Once your program gets large, it becomes extremely messy without one. It's no surprise projects like [1] exist.

[1] https://github.com/ets-labs/python-dependency-injector

Totally agree with this. And I’ve found this pattern pairs really well with https://python-dependency-injector.ets-labs.org/

dependency_injector: https://github.com/ets-labs/python-dependency-injector

As projects continue to grow, its recommended to utilise a dependency injection framework to “inject” these dependencies, such as Dependency Injector, to inject dependency arguments automatically ✨.

One approach is to pass this config as a variable to every class it is required, which I dont prefer. Another option is to annotate the config class as singleton and create the config object at every place where I need them. I also came across this library called Dependency_Injector. https://python-dependency-injector.ets-labs.org/ This seems a bit heavy weight for my use case though. I am looking forward to know how other solve this problem

Dependency Injector

dependency-injector (docs) is python library that provides a framework which enables you to implement DI and IoC in Python.