py-shiny VS flet

I really like this idea of using Python to create both the frontend and backend. Another lib doing this is https://solara.dev/ . Something I particularly like about Solara is that you can interactively build your app in a Jupyter Notebook, since behind the scenes it's using ipywidgets.

Has anyone compared Solara and Reflex and can comment on pros/cons? Are there other options in this space? Maybe https://shiny.posit.co/py/ ?

Would you consider giving Shiny (for Python) a try? https://shiny.posit.co/py/ It's (I hope) pretty close to Streamlit in ease of use for getting started, but reactive programming runs all the way through it. The kind of app you're talking about are extremely natural to write in Shiny, you don't have to keep track of state yourself at all.

If you decide to give it a try and have trouble, please email me (email in profile) or drop by the Discord (https://discord.gg/yMGCamUMnS).

Code is here: https://github.com/rstudio/py-shiny/tree/duckdb-example/examples/duckdb

The equivalent of shiny in python is shiny for python: https://shiny.posit.co/py/

I'm not sure how usable it is, but Shiny for Python exists: https://shiny.rstudio.com/py/

There's Shiny for Python - originally for R - but it's only Alpha status: https://shiny.rstudio.com/py/

> 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/