Sun-Valley-ttk-theme VS mercury

Welp, I have been messing around with a small project using PySimpleGUI using Deepseek to help me learn it. I found a cool project that has a very nice theme for 'ttk' widgets[0] which are supported in PySimpleGUI. Not sure how to proceed... I guess I will use the uncertainty to explore some of these 100% pure python web dev for shits and grins[1].

[0]https://github.com/rdbende/Sun-Valley-ttk-theme

I've just gotten into Tkinter and I just recently found out about TTK themes. I've been using this theme and I've got a fairly basic program up. I'm making an expense manager program (and it is far from complete) and I need something basic to just test if my program is working. I will be using the theme later on though so this will still be helping as I'm experimenting with the theme and the program at the same time.

Tkinter looks different between operating systems, but I'm not an expert. Perhaps if you specify a ttk.Style or install some 3rd party theme like Sun Valley.

I'm pleased to announce that today I've released a new version of my gorgeous Sun Valley theme, with which you can make your Tkinter/ttk application look like Windows 11.

Anyway, continue to use tkinter unless you have a specific use case for using another designer, and use either CustomTkinter or tkk styles. Here's a basic one which looks pretty much native on win10: https://github.com/rdbende/Sun-Valley-ttk-theme

I used this https://github.com/rdbende/Sun-Valley-ttk-theme

the theme i want to use is "sun valley", available on GitHub

I'm build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook.

My favorite is Altair. It provides interactivity for charts, so you can move/zoom your plots and have tooltips. It is much lighter than Plotly after saving the notebook to ipynb file. Altair charts looks much better than in matplotlib. One drawback, that exporting to PDF doesn't work. To serve notebook as dashboard with code hidden, I use Mercury framework, you can check example https://runmercury.com/tutorials/vega-altair-dashboard/

disclaimer: I'm author of Mercury framework https://github.com/mljar/mercury

Web App is using two open-source packages that I've created:

- MLJAR AutoML - Python package for AutoML on tabular data https://github.com/mljar/mljar-supervised

- Mercury - framework for converting Jupyter Notebooks into Web App https://github.com/mljar/mercury

You can run Web App locally. What is more, you can adjust notebook's code for your needs. For example, you can set different validation strategies or evalutaion metrics or longer training times. The notebooks in the repo are good starting point for you to develop more advanced apps.

The GitHub repository https://github.com/mljar/mercury

We are working on open-source web framework Mercury that converts Python notebooks to Web Apps.

It is very opinionated:

- it has no callbacks - we automatically re-execute cells below updated widget

- it has no layout widgets, all input widgets are always in the left sidebar

Thanks to above decisions you don't need to change notebook's code to have web app and fit to the framework.

The simplicity of the framework is very important to us. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file.

The GitHub repository https://github.com/mljar/mercury

Documentation https://RunMercury.com/docs/

Mercury Cloud https://cloud.runmercury.com

Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.

Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.