Illustration via ChatGPT. There are three hard things in computer science. One is making ChatGPT write “Invalidation” correctly on an image. ​ There’s a saying that goes: “There are only two hard things in computer science: cache invalidation and naming things.” Well, I’d argue there are actually three: 2. Cache Invalidation 1. Naming things 3. Asynchronous Computing   Yes, that’s ...

🏆 We are excited to announce that {signature.py} is the grand winner of the 2024 Shiny Contest in the category ‘Best Shiny Application with Python’! This year, Posit relaunched the Shiny Contest, a competition dedicated to the development of Shiny applications. Participants are asked to create a personal or professional application that addresses a specific problem. The applications are then ...

webR, and the next generation of app with R For the past couple of months, I’ve been sharing how webR will transform the way we build apps with R inside. If you’re unfamiliar, webR is a WebAssembly compilation of R. In simpler terms, it enables R to run within JavaScript environments. If you are familiar, you know it’s a bit ...

Let’s continue our exploration of integrating JavaScript code into a {shiny} application! We will show how to move beyond the classic graphs produced in base R or with {ggplot2} to explore the interactive dataviz production libraries of JavaScript, particularly the Chart.js library. If you missed our first article on integrating JavaScript libraries into a {shiny} application I invite you to ...

You think that some of the components of {shiny} are not very functional or downright austere? Are you looking to implement some feature in your app but it is not available in the {shiny} toolbox? Take a look at JavaScript! JavaScript is a very popular programming language that is often used to add features to web pages. With HTML and ...

But why does downloadHandler now return an empty file!? DownloadHandler context When we start working with {shiny}, we often reach a point where it is necessary to offer the user the option to download a document generated by the application. This document can be a PDF report, a PNG or JPEG image, or anything else. The appropriate function for this ...

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, ...