streamlit VS nicegui

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/

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.

I was looking at this space and nicegui seemed like the best ootb experience.

https://nicegui.io/

Dash is similar in spirit, as a "build web UIs with Python" framework. Dash seems more similar to nicegui (https://nicegui.io) architecturally than to Hyperdiv. Like nicegui, it builds a static dom that is then mutated via callbacks or data bindings.

By contrast, Hyperdiv lays out UI declaratively based on state, and when state changes, the app re-runs, generating an updated UI. Streamlit and Hyperdiv seem to work similarly, though I'm not sure how Streamlit handles state and state-based layout.

For native GUI, DearPyGui[0] as modern as you can.

For browser web-based GUI, you can use nicegui[1]

[0] -- https://github.com/hoffstadt/DearPyGui

[1] -- https://github.com/zauberzeug/nicegui

I want to bring to attention a set of frameworks that make webdevelopment using Python simple and fun. The popular opinion maybe that webpages developed with Python maybe slow. But this is not the case. Do checkout https://github.com/ofjustpy/ofjustpy/, https://github.com/zauberzeug/nicegui/ and https://github.com/justpy-org/justpy . All these frameworks are build on top of Starlette and make web development really easy. If you want simple and ready to use the nicegui is the choice. If you want fast, scalable, and more control then give ofjustpy a try.

Yes, NiceGUI aims for a very gentle learning curve. Coming from Streamlit I suspect your main adaptation will be that in NiceGUI you need to write valid Python code. Streamlit constantly reevaluates your script which feels nice and easy but creates lots of problems down the road. See https://github.com/zauberzeug/nicegui/discussions/21.

Auth is a big limitation. It's not a built-in component, they have [an example](https://github.com/zauberzeug/nicegui/blob/main/examples/aut...) using the FastAPI layer for auth, but I haven't had time the time to try implementing it. It's definitely not something you get out of the box with NiceGUI.

For scaling, I am viewing it mostly as an internal tool builder. I wouldn't recommend it for external applications. So as far as scaling an internal app I think it works fine. [Their website](https://nicegui.io) is built with NiceGUI, and it works fine, but you can feel the lag occasionally on some of their larger demo pages.

Well, I was at PyCon Ireland last weekend and I missed the NiceGUI talk. I hear postive things about it and anything shiney and anything frontend-related always catches my attention (although I admit talking to a friend when I missed this talk was just as fun, and it was worth it).