mvp VS streamlit

Buy a bootstrap theme, they're cheap and they offer a lot out of the box. Better solution than bare tailwind, which actually requires you to know how to design. I used tailwind on my personal website, result was good but I had to do a lot more than if I used a bootstrap theme.

You make your app ui work within the boundaries of your bootstrap theme and you're good for 96% of the design stuff.

If you don't want to even learn bootstrap css classes and stuff, consider https://andybrewer.github.io/mvp/

It's amazing, you drop it and you have a theme based on the html only. I use this mostly for prototyping though

Like the previous submitter ( https://news.ycombinator.com/item?id=30885700 April 2022 ) I found clasless.css while investigating semantic html-oriented css libraries and this one stood out to me as having a good balance. I'm not ideologically opposed to using classes, but using them for every bit of styling seems off and I'd rather see good default styles for regular semantically structured html. For example, classless.css uses the "card" class for cards which don't have a clear analog in among standard html tags: https://developer.mozilla.org/en-US/docs/Web/HTML/Element

Other libraries:

Water.css: https://watercss.kognise.dev/

MVP.css: https://andybrewer.github.io/mvp/

Missing.css: https://missing.style/

i collect these for fun! adding to my collection https://github.com/sw-yx/spark-joy/blob/master/README.md#dro...

more like this:

  -  https://andybrewer.github.io/mvp/ mvp.css

On a side note, you can throw something like water.css , tacit, or MVP.css for quick and easy styling and you just focus on the HTML.

Since this tool was just for testing, I wanted a simple CSS solution so that I didn't have to focus on styling. I went with MVP.css and Tailwind for small tweaks. It worked really well, but in the future, I'd like to take a look at Pico.css, which I just learned about from this Fireship video.

You could pay a front end dev to use a preexisting template.

Or, you could Google “classless CSS”, if you’re OK writing some HTML.

I made a plug and play CSS library here for those that don’t want to write CSS: https://github.com/andybrewer/mvp

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.

In this tutorial, you'll construct a fully functional Streamlit application from the ground up. Streamlit lets you turn simple data scripts into web applications without traditional front-end tools. This application will be capable of downloading audio from any YouTube video, transcribing it using Deepgram, and then summarizing the content with the assistance of Mistral 7B, all streamlined through the capabilities of Langchain.