No Clocks

☁️ ☁️ ☁️ Beautiful Bubbles in Shiny and RMarkdown Backgrounds - feddelegrand7/bubblyr

This article shows how to use battery R framework to create architecture for big shiny applications

Build Robust R shiny Apps with Elegant and Highly Customizabel ‘Card’ Features Using card.pro R package

Invite JavaScript into your Data Science workflow.

Take your R/Shiny apps to the next level with JavaScript. Learn best practices for typing, documentation, and integrating React with Rhino.

1 Using R in the back-end .. but not with R-Shiny LIBData Portal

Shiny is a package that makes it easy to create interactive web apps using R and Python.

Shiny is an R package that enables building interactive web applications that can execute R code on the backend.

Shiny is a package that makes it easy to create interactive web apps using R and Python.

Purposefully simple helper functions, tools, and a framework for creating reusable applications fit for production in clinical systems.

Landing page for the ShinyUiEditor: A drag and drop interface for building Shiny apps.

Keycloak Authentication for R/Shiny.

Find out how the server-side of a Shiny application works by exploring the Shiny source code and understanding WebSockets and HTTP requests.

The 4th Shiny Contest is now in full swing! This community event celebrates learning, sharing, and recognizing outstanding work within the Shiny developer community.

Resources for demoing local and Launcher jobs with RStudio - sol-eng/background-jobs

Shiny is a package that makes it easy to create interactive web apps using R and Python.

Some examples of running R applications on Google Kubernetes Engine

🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny - nanxstats/awesome-shiny-extensions

Standalone code for the "Outstanding Shiny UI" Book - DivadNojnarg/outstanding-shiny-ui-code

Some Shiny applications. Contribute to dreamRs/shinyapps development by creating an account on GitHub.

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

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

This post provides a guide to use ShinyProxy, an open-source tool with enterprise features, to deploy R Shiny apps.

Demonstration of user management and authentication system in R Shiny - yanirmor/shiny-user-management

Take screenshots in Shiny apps. Contribute to dreamRs/capture development by creating an account on GitHub.

Simple ZeroClipboard Clipboard Functionality for Shiny/R Applications - smbache/zeroclipr

Article posted by Andy Merlino, on Friday, July 17nd, 2020

🎨 A colour picker tool for Shiny and for selecting colours in plots (in R) - daattali/colourpicker