numeric VS streamlit

Here's my personal goto:

Find some minimal CSS framework. My preference is Skeleton [0] or Bootstrap [1]. The key is just finding something minimal that works without too much fuss. Personally, I rather have a minimal framework provide 'responsiveness' so I don't have to worry about it but I also want it to get out of the way of anything I do.

Use JQuery [2]. Don't rely on CSS for animations or interactivity. In theory CSS does a lot. In practice it's a nightmare to use and to get it play well with whatever else I'm doing in the page.

Write in "bare" HTML and "vanilla" JavaScript. Don't use a static site generator and don't use a JavaScript framework.

Port in JavaScript libraries as needed. Some of the ones I tend to use are numeric.js [3], downlaod.js [4] and audience-minutes [5]. If you're doing spreadsheet things, maybe there's some JS package out there that will help.

Doing "raw" HTML/"vanilla" JavaScript makes me effectively unhirable but for limited scope side projects where I have full control and want to minimize bit-rot, this is fine.

The point is to create something that's minimal and focuses on functionality. The CSS is just there to make it not look like a Web 1.0 page but otherwise steps out of the way to focus on the actual usage of the application.

For context, here are some projects where I've used this philosophy (all open source, feel free to pilfer): Noixer [6], Resonator Voyant Tarot [7], Boston Train Track (now defunct) [8], CalebHarrington.com (an artist friend) [9], What Is This License [10], HSV Hero [11].

[0] http://getskeleton.com/

[1] https://getbootstrap.com/

[2] https://jquery.com/

[3] https://github.com/sloisel/numeric

[4] https://github.com/rndme/download

[5] https://github.com/berthubert/audience-minutes

[6] https://mechaelephant.com/noixer/

[7] https://abetusk.github.io/ResonatorVoyantTarot/

[8] https://github.com/abetusk/bostontraintrack

[9] https://calebharrington.com/

[10] https://mechaelephant.com/whatisthislicense/

[11] https://mechaelephant.com/hsvhero

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.