No Clocks

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

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

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-loadblancer-internal.R · GitHub

Display HTML Elements on Full Screen in 'Shiny' Apps Using 'Screenfull.js' - etiennebacher/shinyfullscreen

React.js is a thriving JavaScript library that eases encapsulating and sharing sophisticated component libraries. The React.js ecosystem is filled with components for doing everything from...

Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools.

Aaaand... because I couldn't help myself. A simple little example using shinyjs that seems to work for my not-very-thorough testing 😄 The two important bits: In the UI: shinyjs::useShinyjs(), In the Server (10 seconds for testing): shinyjs::runjs( "function reload_page() { window.location.reload(); setTimeout(reload_page, 10000); } setTimeout(reload_page, 10000); ") You definitely don't need the shinyjs package to make this work, but it does make things a little easier :s...

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

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

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

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

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

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

devindocker

Repository with DockerFiles for tutorials. Contribute to ThinkR-open/docker4dev development by creating an account on GitHub.

Repository with DockerFiles for tutorials. Contribute to ThinkR-open/docker4dev development by creating an account on GitHub.

A template for deploying R Shiny apps with ShinyProxy in Docker Swarm mode - presstofan/shinyproxy-docker-swarm-demo

an opinionated environment for compiling R. Contribute to rstudio/r-builds development by creating an account on GitHub.

Docker images for R. Contribute to rstudio/r-docker development by creating an account on GitHub.

Environment Management with Docker

Contribute to trvinh/PhyloProfileDocker development by creating an account on GitHub.