voila VS datapane

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.

If you're looking for an easy way to build an HTML report using Python, you might find Datapane (https://github.com/datapane/datapane) helpful. I'm one of the people building it! We don't support polars (yet, on the roadmap) but we do support pandas so you can convert to a pandas DataFrame and include your data and any plots, etc.

If you're interested in an easier way to create reports using Python and Plotly/Pandas, you should check out our open-source library, Datapane: https://github.com/datapane/datapane - you can create a standalone, redistributable HTML file in a few lines of Python.

You might be interested in what we're hacking on at Datapane (I'm one of the founders): https://github.com/datapane/datapane.

You can create standalone HTML data reports from Python/Jupyter in ~3 lines of code: https://docs.datapane.com/reports/overview/

You can build web apps from Jupyter using Datapane [0]. I'm one of the founders, so let me know if I can help at all.

You can either export a static site [1] (and host on GH pages or S3), or, if you need backend logic, you can add Python functions [2] and serve on your favourite host (we use Fly).

We have specific Jupyter integration to automatically convert your notebook into an app [3].

[0] https://github.com/datapane/datapane

[1] https://docs.datapane.com/reference/reports/#datapane.proces...

[2] https://docs.datapane.com/apps/overview/

[3] https://docs.datapane.com/reports/jupyter-integration/#conve...

Our GitHub is https://github.com/datapane/datapane and you can get started here: https://docs.datapane.com/quickstart/

Thanks a lot! Yes, absolutely, a few people have brought this up and working working on removing the header right now. If I can help at all, feel free to reach us on GH Discussions: https://github.com/datapane/datapane/discussions