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Comment by sandGorgon | Hacker News Reader

This is huge - This basically allows your analysts and data scientists to have a company wide impact by productionizing your code.

Plotly dash tried to do this, but was a bit weird to use.

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I've been using the Jupyter AppMode plugin for a few years, it has been very useful for internal tools. Voilà looks similar, with more sheen, it's going to enable true rapid SPA development.

Voila author here: a major difference with AppMode is that AppMode is merely hiding the notebook interface, but still allows for arbitrary code execution.

Voila is meant for producing secure web apps.

hi - its very interesting that you talk about security. what's the deployment story here ?

in fact, now that i think of it - can you generate an output folder with a Dockerfile ? so a mere docker build will produce a running docker compatible "build" folder ?

Also, can you have a mode where you hide the source code ? i just get the output data ? for world viewable dashboards.

There are some details about this in the blog post. - no execution request is sent by the front-end. - code is stripped out unless explicitely stated otherwise. For deployment, we are working on several scenarios around JupyterHub.

your blog post still displays the code. Not sure if that can be turned off as well.

Please consider the request for a Docker based output build in addition to whatever you do for jupyterhub

From the blog post:

> with --strip_sources=False, input cells will be included in the resulting web application (as read-only pygment snippets).

So the sources are presumably not there by default.

I still feel like R/Shiny is miles ahead here, but Voilà looks like a step in the right direction

Shiny is okay as a way to share simple analytical apps but it's syntax and performance are atrocious.

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