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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 thi

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.

polotics 7y ago
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.
- SylvainCorlay 7y ago
  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.
  - sandGorgon 7y ago
    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.
    - SylvainCorlay 7y ago
      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.
      - sandGorgon 7y ago
        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
        hobofan 7y ago
        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.
discordance 7y ago
I still feel like R/Shiny is miles ahead here, but Voilà looks like a step in the right direction
- randomvectors 7y ago
  Shiny is okay as a way to share simple analytical apps but it's syntax and performance are atrocious.

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.

polotics 7y ago

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.

SylvainCorlay 7y ago
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.
- sandGorgon 7y ago
  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.
  - SylvainCorlay 7y ago
    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.
    - sandGorgon 7y ago
      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
      - hobofan 7y ago
        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.

discordance 7y ago

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

randomvectors 7y ago
Shiny is okay as a way to share simple analytical apps but it's syntax and performance are atrocious.