Shiny 1.0.4 is now available on CRAN. To install it, run: install.packages("shiny") For most Shiny users, the most exciting news is that file inputs now support dragging and dropping: It is now possible to add and remove tabs from a tabPanel, with the new functions insertTab(), appendTab(), prependTab(), and removeTab(). It is also possible to hide and show tabs with hideTab() and showTab(). Shiny also has a new a function, onStop(), which registers a callback function that will execute when the application exits.

shinytest

Introduction Data visualization is an important aspect of the data science work flow. This app enables the analyst to understand the data in question. In this post, we will build an application whi…

Describes the best practices for setting automated test architecture for R Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests.

Producing an API that serves model results or a Shiny app that displays the results of an analysis requires a collection of intermediate datasets and model objects, all of which need to be saved. Depending on the project, they might need to be reused in another project later, shared with a colleague, used to shortcut computationally intensive steps, or safely stored for QA and auditing. Some of these should be saved in a data warehouse, data lake, or database, but write access to an appropriate database isn’t always available.

Three methods for using javascript code in Shiny applications to build faster apps, avoid unnecessary re-rendering, and add components beyond Shiny's limits. Part 2 of a 5 part series on super solutions for Shiny architecture.

Note: This article is now several years old. If you have RStudio Connect, there are more modern ways of updating data in a Shiny app. Shiny applications are often backed by fluid, changing data. Data updates can occur at different time scales: from scheduled daily updates to live streaming data and ad-hoc user inputs. This article describes best practices for handling data updates in Shiny, and discusses deployment strategies for automating data updates.

Transferring your Excel sheet to a Shiny app is perhaps the easiest way to create an enterprise ready dashboard. Shiny offers a comparable feature set to Excel as well as exciting new possibilities.

James Blair, RStudio Scalability is a hot word these days, and for good reason. As data continues to grow in...

If you use RStudio Connect to publish your Shiny app (and even if you don’t) take care with how your...

Contribute to yonicd/shinycovr development by creating an account on GitHub.

How to create scale-to-zero Shiny apps on Google Cloud Run: pitfalls, how and why

I do not well remember, but it seems to me I faced some difficulties when I tried to use Shiny bookmarking to save and restore the state of a Shiny app. These difficulties arose when there were some rende...

A guide to building scalable Shiny Datbase applications

Gérer l'appel dynamique aux modules.

Handsontable is a composite spreadsheet component for apps and websites written in JavaScript and HTML

R-Shiny developer and consultant with a MSc in Bioinformatics and a Bachelor of Computer Science. Previously a software engineer at Google, IBM, and Wish.com.

Donald Mellenbruch

(Or, how to write a Shiny app.R file that only contains a single line of code) This post is long...

This article describes best practice approaches for developing shiny dashboards. The creation of the dashboard in package form, as well as the use of unit tests should enable the development of robust solutions and guarantee high quality.

We create, maintain, and develop enterprise R Shiny dashboards. We deliver rapid development, scalability to thousands of users, and sophisticated UIUX.

Learn how to use the session argument as a global list for passing parameters between modules in advanced Shiny apps to simplify the objects’ flow in code., organize app content, simplify objects flow logic, decrease bugs, increase speed

We will start with a basic shiny dashboard that uses no libraries. Then we will enhance it using bootstrap and semantic UI. Then we use custom CSS.

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