Azure-ttk-theme VS streamlit

https://github.com/TomSchimansky/CustomTkinter https://github.com/israel-dryer/ttkbootstrap/ https://github.com/TkinterEP/ttkthemes https://github.com/RobertJN64/TKinterModernThemes https://github.com/rdbende/Sun-Valley-ttk-theme https://github.com/rdbende/Azure-ttk-theme https://github.com/rdbende/Forest-ttk-theme

If you would want to make tkinter app a little bit nicer looking you could use theme like this one.

You can make tkinter look good with this or this.

Surprisingly more than ever! There are a few libraries and themes that make it look very good. This one and this one are both amazing

Move to html/css for your interface or for desktop only Tkinter with some new looks. And if you need really complex stuff, there's PySide6.

Easily themable (some great themes here).

Matplotlib or Plotly will give you grafana style plots, the rest of what you want (Buttons, Entry Boxes, Labels) is all in Tkinter! If you don't like the look of tkinter, you can change it with this, this or this. (that last one is my favorite).

Also with the new tkinter themes provided here, tkinter is having a micro-resurgence thanks to its new look.

But I recently found this beautiful theme for ttk and some customizations for tkinter that made me look twice before going to the PySide. If your UI does not need complex interaction, tkinter can look really good.

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.

Install the Stable Diffusion tools and checkpoints, and run it all with Streamlit.