RStudio is becoming Posit in October. Learn more at posit.co
RStudio is becoming Posit in October.
Learn more at posit.co
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio Public Package Manager
RStudio Package Manager
Make Shiny fast by doing as little work as possible
February 26, 2018
Ever felt like your shiny app was too slow? The responsiveness of many Shiny apps can be improved without much effort, you just need to know what to look for. In my talk I'll discuss the pieces of typical Shiny apps in a performance context. I'll also introduce tools and techniques for maximizing Shiny app performance in order to deliver the best possible user experience.
Alan is a software engineer on the Shiny team at RStudio. In the past, he’s helped build web applications, reporting pipelines, and many things between. When he’s not working, Alan likes to spend his time reading or being with his family.