Interactive Widgets
Voilร enables Jupyter notebooks to be converted into interactive dashboards, allowing users to utilize interactive widgets straight from the notebook.
Server-Side Execution
Runs notebooks on the server side, ensuring consistent results across users, unlike static HTML exports.
No Code Modification Required
Voilร renders notebooks into interactive web applications without requiring any modification to the existing notebook code.
Integration with Jupyter
Smoothly integrates with the Jupyter ecosystem, benefiting users familiar with Jupyter notebooks.
Open-Source
Being open-source, it encourages community contributions and provides flexibility to customize and extend functionalities.
We have collected here some useful links to help you find out if Voilร is good.
Check the traffic stats of Voilร on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Voilร on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Voilร 's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Voilร on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Voilร on Reddit. This can help you find out how popualr the product is and what people think about it.
In the browser only jupyter for now, you can use voila to make a server based application using jupyter: https://github.com/voila-dashboards/voila As Caitlin pointed out below pyodide is a future goal. - Source: Hacker News / over 1 year ago
> 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.... - Source: Hacker News / over 3 years ago
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. Source: over 3 years ago
Ill have to check it out and see how it compares to voilร 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... Source: over 3 years ago
Any insights what the differences between this and Voila are? Https://github.com/voila-dashboards/voila. Source: over 3 years ago
A nifty little alternative to voila, one might say. - Source: dev.to / over 3 years ago
Markdown and/or Voilร https://github.com/voila-dashboards/voila. Source: almost 4 years ago
If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila. Source: almost 4 years ago
I have been trying to create a Jupyter notebook dashboard where you can upload a file and it will visualize your data in dashboard form using a library called Voila. I have tried using the File Upload widget through ipywidgets but it doesn't seem to dynamically load when using Voila. Source: over 4 years ago
By being a Jupyter widget itself, ipyflex can be easily integrated with Voila to deploy the dashboard as a standalone web application. Source: over 4 years ago
Did you mean this https://github.com/voila-dashboards/voila ? In any case, that could be interesting, I'm just not sure how comfortable I am with publicly sharing all the code with everyone... I have only eyeballed the project, will have a more detailed look later, but it seems as if it essentially is a hosted notebook right? So anybody can see/manipulate the code which I'd want to avoid. Source: almost 5 years ago
Meh, Dash is OK. These days, my go-to is voila, which basically supports anything you can serve via a jupyter notebook (including plotly). Gives you access to the entire ipywidgets, bokeh, and holoviz ecosystems. Just make a notebook with some UI elements in it and bam: you've got a webapp. Source: about 5 years ago
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