It is with great pleasure that we can announce that the paper version of the book “Engineering Production-Grade Shiny Apps” is available. It is published in the R Series by Chapman & Hall. If you want to use shiny with rigour , and use this techno to push your applications into production, this book is for you. The ThinkR team ...

The new version of {golem} (0.3.1) has been available on CRAN 🎉 for about a month now. This new version includes a lot of new things, but we notably focused on working on two important new features: allowing you to extend {golem} via templates, and supporting for the latest changes in {shiny}. Extending {golem} One of the challenges when it ...

In the same way you fall learning to walk, you make mistakes learning R. The goal of this article was to regroup the most common mistakes one makes while learning R and to explain them in order for you you know how to fix them. Facing an issue, the most important advice would be : “Read the error message”. It ...

One of the things that we keep promoting in the ThinkR team are good practices for production software engineering in R. Of course, that implies Shiny Applications—and even more if we introduce the {golem} package, which promotes good practices for “production-grade” Shiny application. But let’s take a step back and think about what makes a successful/production-grade Shiny Application. ...

A little blog post about where to look if you want to get started with {golem}, and an invitation to code with us in October. ...

{golem} has been developed to help building big Shiny application to put in production. What if {golem} could be used to build another popular interactive web application, recently made available to R programmers: Dash ? Dash, a newcomer in interactive web applications A few days ago, Plotly announced Dash now available for R. After reading this announcement, I thought this ...

As part of the development of a Shiny application for production using {golem}, we recommend, among other things, working with Shiny-modules. The communication of data between the different modules can be complex. At ThinkR we use a strategy: the stratégie du petit r. We explain everything in this article. What is a module? A module is the combination of two ...

“should we use shinyApp() or runApp() when deploying to production?” ...

Shiny App as a Package In a previous post, I’ve introduced the {golem} package, which is an opinionated framework for building production-ready Shiny Applications. This framework starts by creating a package skeleton waiting to be filled. But, in a world where Shiny Applications are mostly created as a series of files, why bother with a package? This is the question ...

Second part of the blog transcription of the talk I’ve given during the eposter session of the rstudio::conf(2019). Read the first part here. This post is at the premise of our book: https://engineering-shiny.org/. You will find all complementary information in it. Building Big Shiny Apps: step by step Step 1: Designing Don’t rush into coding. I know you want to, ...

This is gonna be a short post about a little trick I’ve been using while developing Shiny Apps. (Spoiler: nothing revolutionary) A browser anywhere, anytime The first thing to do is to insert an action button, and a browser() in the observeEvent() watching this button. This is a standard approach: at any time, you just press this button, and you’re ...

During the rstudio::conf(2019L), I’ve presented an eposter called “Building Big Shiny Apps — A Workflow”. You can find the poster here, and this blog post is a transcription of what I’ve been explaining while presenting the poster. ...

You created some great Shiny applications, following our advice of Shiny packaging for example, and you want to put them into production, self-hosting, so that others can enjoy them, without limitations, on the Internet or on an internal server of your company? ShinyProxy is for you! ShinyProxy v2.0 has recently been released. What a great opportunity to talk about its ...

In this article, I will introduce the approach we use at ThinkR for Shiny applications we design. This is a relatively strict framework but designed to simplify our life and guarantee to deliver a “prod ready” application (whether it is launched locally, on shinyserver, Rconnect or via ShinyProxy with docker). This framework simplifies application maintenance and collaborative work. Edit: Better read ...