Development

Article compares different technologies to scale R Shiny Apps, technologies used: ShinyProxy, Shiny Server Open Source & Pro and solution based Docker and Load Balancer.

Shiny App for Load Balancing. Contribute to aephidayatuloh/shiny-loadbalancer development by creating an account on GitHub.

I wanted to know what others think is the best approach when making a shiny module that uses some functions/variables that in a non-module app would belong in global.R Do you still keep them in global.R? To me that seems to break the isolation and independence of modules, since a module should be explicit about all its inputs and outputs. As a concrete example: in the following app, the module UI and module server use a variable defined outside of it. Here's one way to write it: foodata

I need to set the column width of a DataTabe in an R Shiny app. I went through the Data Table Options in the documentation. Also, I reviewed this and this questions in Stackoverflow. Setting width

An Application to Minify CSS, JAVASCRIPT, CSS, and HTML files - ColinFay/minifying

Package your RShiny app into a docker container for local deployment. No rshiny-server or special rshiny.conf configurations necessary!

This document is full of supplemental resources and content from the Shiny in Production Workshop delievered at rstudio::conf 2019.

A Chrome extension for recording browser interaction and generating Puppeteer & Playwright scripts

Making the web more beautiful, fast, and open through great typography

R Shiny app for iAtlas (new, 2020 version). Contribute to CRI-iAtlas/iatlas-app development by creating an account on GitHub.

Data Scientist. Shiny Developer. Tidyverse Denizen. Scheme Enthusiast.

Shiny App for Load Balancing. Contribute to sjewo/shiny-loadbalancer development by creating an account on GitHub.

Don't believe the documentation! Shiny modules aren't just for advanced users; they might just be a great entry point for development

Learn how to dockerize ShinyApps! Join our colleague Oliver on his journey toward deploying his work done in R with the help of neat Docker containers.