Performance

Last Updated: 15 Oct 2019

Now that you know how to profile your Shiny app code to identify which parts of your code is slowing down your app, the next step is to increase the performance of your code and hence your app. The following video from rstudio::conf 2018 has some tips on this.

Make Shiny fast by doing as little work as possible

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Start

Build

Improve

Your first Shiny app

The basic parts of a Shiny app

How to build a Shiny app

How to launch a Shiny app

Help

How to get help

The Shiny cheat sheet

Structure

Standalone apps

App formats and launching apps

Two-file Shiny apps

Interactive documents

Introduction to R Markdown

Introduction to interactive documents

R Markdown integration in the RStudio IDE

The R Markdown cheat sheet

Setting Output args via Render functions

Generating downloadable reports

Dashboards

Gadgets

Designing Gadget UI

Backend

Reactivity

Reactivity - An overview

Stop reactions with isolate()

Execution scheduling

How to understand reactivity in R

Learn about your user with session$clientData

Data

Database basics - dplyr and DBI

SQL injection prevention

Using the pool package (basics)

Using the pool package (advanced)

Using dplyr and pool to query a database

Persistent data storage in Shiny apps

Frontend

User interface

Application layout guide

Customize your UI with HTML

Build your entire UI with HTML

Build a dynamic UI that reacts to user input

Shiny HTML Tags Glossary

Progress indicators

Render images in a Shiny app

Displaying and customizing static tables

How to use DataTables in a Shiny App

Using Action Buttons

Help users download data from your app

Help users upload files to your app

Using selectize input

Graphics & visualization

Interactive plots

Selecting rows of data

Interactive plots - advanced

Shiny extensions

JavaScript actions packaged for Shiny apps

How to build a JavaScript based widget

How to add functionality to JavaScript widgets

How to send messages from the browser to the server and back using Shiny

How to develop an interactive, dynamic help system for your app with introJS

How to create custom input bindings

Putting everything together to create an interactive dashboard

Customizing Shiny

Using custom CSS in your app

Build custom input objects

Build custom output objects

Add Google Analytics to a Shiny app

Packaging JavaScript code for Shiny

Communicating with Shiny via JavaScript

JavaScript Events in Shiny

Refactor

Code quality

Debugging Shiny applications

Upgrading to a new version of R

Handling missing inputs with req(...)

Scoping rules for Shiny apps

Reconnecting to Shiny apps

Sanitizing error messages

Write error messages for your UI with validate

Unicode characters in Shiny apps

Testing

Shiny testing overview

Server function testing with Shiny

Modules

Modularizing Shiny app code

Communication between modules

Scale

Measure usage

Shiny App Usage Tracking

Add Google Analytics to a Shiny app

Performance and scalability

Using caching in Shiny to maximize performance

Profiling your Shiny app

Improving scalability with async programming

Tuning

Scaling and Performance Tuning with shinyapps.io

Scaling and Performance Tuning with Shiny Server Pro and RStudio Connect

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