streamlit VS panel

Streamlit: https://streamlit.io/

The agent uses MCP to translate this into a DynamoDB query. Then, using Streamlit UI, results are returned in a structured format, making it easy to use.

It's powered by something called "Streamlit" (https://streamlit.io).

> A faster way to build and share data apps

Website doesn't even load for me. I don't even know what to say...welcome to web dev 2025 edition.

Since Vaadin is Java-focused, its major benefits are best realized within that ecosystem. If you're using .NET, Blazor might be a better fit, while in the Python world, a lightweight alternative could be Streamlit.

We can embed this solution into a desktop client by creating a user interface using Streamlit to allow the user to interact with our RAG application via chat. Or you can make a Telegram bot, then it will be even easier to create an interface

Streamlit

I deployed a small dockerized app on GCP a couple months ago and these bots ended up costing me a ton of money for the stupidest reason: https://github.com/streamlit/streamlit/issues/9673

The majority of requests were from OpenAI…

This article aims to quickly get you started with the Python streamlit library, including installation, input data, chart drawing, basic controls, progress bars, and free deployment.

Streamlit makes it easy to create an interactive user interface (UI) for Python applications. In this section, you will build a simple, user-friendly interface where users can input a URL and display the scraped data.

Streamlit: Streamlit turns data scripts into shareable web apps in minutes.

If you want to support the Panel project, the easiest way to do this is to give a star on Github: https://github.com/holoviz/panel. Much appreciated. Thanks.

panel – data exploration & web app framework for Python

https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.

I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py

If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).

panel

My suggestion is https://panel.holoviz.org/

Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.

I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.

Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).