Eel VS voila

I gave up a long time ago attempting to write GUIs in pure python. I've come back to them periodically to see if the landscape has changed, but I'm always disappointed.

My current go-to python GUI solution is to use the Eel library. It renders GUIs in a web-browser like window with HTMl/CSS/JS.It lets you expose your python functions to JavaScript, so data can be easily transferred back and forth between the python and the JavaScript. And since it's just web-dev, it's pretty easy to make things look and feel good enough. Any other web-dev libraries like bootstrap and jquery can be used. It works pretty well for writing GUIs that put data analysis tools in front of my colleagues.

https://github.com/python-eel/Eel

Eel was used to implement the app and communication with the web interface.

I am calling a function from Python using eel and taking the return value. Python functions are asynchronous with JavaScript by nature. This code is combined with other variables to determine if the form can continue. allFilled() is called everytime the form field changes.

In the past, I've used QT4 and QT Designer. It was okay. It was a small mountain to climb for myself then - but certainly doable. However, there was a lot of generated code that wasn't the most concise thing. Today, I discovered Eel. Since I used QT4 in the past, I've done some web dev. Certainly, not proficient there. But Eel wasn't as big of a hurdle. In fact, it took me a fraction of the time because it is much like creating a basic website. Where there's an abundance of tutorials and tips out there for everything imaginable. Instead of downloading and adding a font, clicking through a bunch of dialogs. I just linked a Google font and updated the CSS. Stuff like that.

If you don't want a web-app, you can still use JS for GUI, using something like python-eel https://github.com/python-eel/Eel

Quick link: https://github.com/voila-dashboards/voila

Humbly recommend when you share a product, you include a link to it ;)

https://voila.readthedocs.io/en/stable/

> Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra.

Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila

Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.

Good luck and much success with it :)

i don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. but that's just my opinion i guess.

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).

Any insights what the differences between this and Voila are? https://github.com/voila-dashboards/voila

A nifty little alternative to voila, one might say.

Markdown and/or Voilà https://github.com/voila-dashboards/voila

If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila.