graphene-django VS flet

Graphene-Django Graphene-Django is a powerful library that integrates the GraphQL query language with Django, allowing for the development of flexible and efficient APIs. It seamlessly combines the expressive power of GraphQL with the simplicity and elegance of Django, enabling us to design APIs that fetch only the data the clients need.

Install Graphene and Graphene-Django. Graphene is a tool that makes working with GraphQL in Python easy, while Graphene-Django adds some additional abstractions to make adding GraphQL functionality to your Django project a breeze. To install Graphene and Graphene-Django, run the following on your command line/terminal, pip install graphene graphene-django.

But if you must take a look graphene for graphql. https://docs.graphene-python.org/projects/django/en/latest/

You will find a lot of videos about Django on YouTube. If you need a REST API try DRF. If you want GraphQL try Graphene Django. For WebSockets there is Channels. If you don't want to bother with having an API for your frontend but you still want that SPA feeling try HTMX.

I've used Graphene + Graphene Django to write GraphQL APIs for several years now, but graphene-django unfortunately seems to (mostly) be abandoned now.

In conclusion, the Graphene-Django library makes it easy to get started with GraphQL integration by allowing you to use your existing Django models as the data source for your GraphQL API and automatically generate the schema. For more information, check out the documentation.

Django ninja strawberry Graphene

in my last project I used graphene to build a Django backend application with GraphQL. It seemed like the best framework to adopt graphql in python at that time in terms of stability and maturity.

> When you run flet build command it ... Packages Python app using package command of serious_python package. -- https://flet.dev/docs/guides/python/packaging-app-for-distri...

It looks like Flet is for client-side code. It lets you write Flutter apps with Python instead of Dart.

> Simple Architecture - No more complex architecture with JavaScript frontend, REST API backend, database, cache, etc. With Flet you just write a monolith stateful app in Python only and get multi-user, realtime Single-Page Application (SPA). -- https://flet.dev

If I'm writing Python that runs on the mobile device, it must talk to a server to read & write data. Doesn't this still require an API backend, database, cache, etc?

I just learned of Flet (https://flet.dev) which seems interesting for Python. I may try this as well.

maybe check out https://flet.dev

When developing or selecting an MRZ (Machine Readable Zone) recognition SDK, the primary challenge lies in finding an appropriate dataset for testing. Acquiring genuine MRZ images is challenging, and due to privacy concerns, they aren't publicly accessible. Therefore, crafting MRZ images becomes a practical solution. Fortunately, there's an open-source Python MRZ generator project, available for download from pypi, eliminating the need to start from scratch. This article aims to illustrate how to integrate and run Python scripts within web applications. First, We will showcase how to employ the Python MRZ SDK and Flet to construct a cross-platform MRZ generator. Subsequently, we will reuse the Python script with Pyodide, HTML5, and the Dynamsoft JavaScript MRZ SDK, creating an advanced online MRZ tool that can handle both MRZ creation and MRZ detection.

"The fastest way to build Flutter apps in Python" is the title of Flet's web page. As someone coming from the Flutter world reading the line I draw an ideal picture of "swapping Dart language for Python and magically having the whole power of Flutter framework and the tips of your fingers".

Well I haven't seen anyone mention Flet, which is pleasant (if maybe not all that complete) if you have Dart/Flutter experience, so increment your counter at least one. :-)

https://flet.dev/