flet VS streamlit

> 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/

I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.

Streamlit (https://streamlit.io/)

Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display.

Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for me (I'm not a programmer).

For static stuff one of the data scientists in my org pointed me to Streamlit (https://streamlit.io/) it's a python package I found very easy to use. Can easily combine SQL with CSV imports and display them all on one dashboard. Can use forms toggle butotns etc to control the display.

Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.

2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

Developed using Langchain and Streamlit technologies for enhanced performance.

Hello,

Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.

While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.

Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.

Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.

Demo: https://streamfy.streamlit.app

All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.

Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]

Thanks!

[1] https://github.com/streamlit/streamlit/issues/5348

Here's your savior, let's welcome Streamlit.

Looks cool. How do you see this differing from streamlit? https://streamlit.io/