Chapter 16 Cookies | JavaScript for R
Invite JavaScript into your Data Science workflow.
Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Opinionated Backend and Reusability Focused Considerations for Shiny
Purposefully simple helper functions, tools, and a framework for creating reusable applications fit for production in clinical systems.
nanxstats/awesome-shiny-extensions: 🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny
🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny - nanxstats/awesome-shiny-extensions
DivadNojnarg/outstanding-shiny-ui-code: Standalone code for the "Outstanding Shiny UI" Book
Standalone code for the "Outstanding Shiny UI" Book - DivadNojnarg/outstanding-shiny-ui-code
dreamRs/shinyapps: Some Shiny applications
Some Shiny applications. Contribute to dreamRs/shinyapps development by creating an account on GitHub.
shiny-loadbalancer/shiny-monitor.R at master · aephidayatuloh/shiny-loadbalancer
Shiny App for Load Balancing. Contribute to aephidayatuloh/shiny-loadbalancer development by creating an account on GitHub.
Alternative Approaches to Scaling Shiny with RStudio Connect, ShinyProxy, or Custom Architecture - Appsilon | End to End Data Science Solutions
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
shiny-loadblancer-internal.R · GitHub
4 Tips to Make Your Shiny Dashboard Faster
Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools.
Deploying R Shiny apps using ShinyProxy on Windows 10 | databentobox
This post provides a guide to use ShinyProxy, an open-source tool with enterprise features, to deploy R Shiny apps.
yanirmor/shiny-user-management: Demonstration of user management and authentication system in R Shiny
Demonstration of user management and authentication system in R Shiny - yanirmor/shiny-user-management
dreamRs/capture: Take screenshots in Shiny apps
Take screenshots in Shiny apps. Contribute to dreamRs/capture development by creating an account on GitHub.
Shiny App Workflows
This is a book that covers the standard shiny app
workflow.
JohnCoene/awn: Awesome notifications for shiny
Awesome notifications for shiny. Contribute to JohnCoene/awn development by creating an account on GitHub.
Shiny - Stop-Trigger-Delay
Shiny is a package that makes it easy to create interactive web apps using R and Python.
observeEvent() is used to perform an action in response to an event
eventReactive() is used to create a calculated value that only updates in response to an event
observe() and reactive() functions automatically trigger on whatever they access
observeEvent() and eventReactive() functions need to be explicitly told what triggers them
And where does isolate fit in all this?
isolate() is used to stop a reaction
observeEvent() is used to perform an action in response to an event
eventReactive() is used to create a calculated value that only updates in response to an event
Overview – Next Generation Shiny Apps with {bslib}
Welcome and Getting Started – Next Generation Shiny Apps with {bslib}
Welcome to the workshop and hello, bslib!
How to enhance your R shiny application with httpOnly Cookies
httpOnly Cookies are crucial for security, protecting against cross-site scripting attacks in R Shiny apps. Read more about them here.
Making Shiny apps faster with caching - RStudio
Shiny's 1.6 has a new function, bindCache(), which makes it easy to dramatically speed up reactive expressions and output rendering functions.
dreamRs/shinypop: Collection of notifications, confirm dialogs and alerts for 'Shiny' applications
Collection of notifications, confirm dialogs and alerts for 'Shiny' applications - dreamRs/shinypop
Getting started with shinytest2