dominate VS streamlit

It feels weird at the beginning, but after a bit of practice I found it pretty nice to write HTML in Python.

Here is an example of a HTML page layout written with the DOMinate [1] library for example, in a "JSX-like" way:

https://github.com/olivierphi/zakuchess/blob/main/src/apps/w...

It may hurt your eyes at first sight, for sure... But similarly to technologies like Tailwind CSS, it's mostly a matter of getting used to it - and after a while it end ups feeling very natural to use :-)

1: https://github.com/Knio/dominate#readme

Pretty much how https://github.com/Knio/dominate does it, but no context variable binding (otherwise gets messy with lots of nesting)

You're conflating two things, dynamically creating HTML is great and lets you avoid JS in a lot of cases. It's whether you should treat your HTML document as the tree of nodes that it is in your programming language or treat it like a string.

https://github.com/Knio/dominate is a Python lib that implements this principal.

Actually excited to giive this HTML field a try - https://github.com/Knio/dominate might come in useful for me to generate the html

How is it different from other existing projects like Dominate?

If you’re talking about generating HTML using Python, I highly recommend the library Dominate. Incredibly intuitive and Pythonic way to generate HTML.

Ive mostly used Dominate for my services. https://github.com/Knio/dominate

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/