The new version of {golem} is available! Read the complete version of this article at https://golemverse.org/post/golem-0.4.0-release-on-cran/ What’s up with this new version? Lighter dependency tree When we release the first version of {golem} on CRAN, we made the decision that all {golem}-based app should depend on {golem}. This was a conscious decision ,and we made it because {golem} comes with a bunch of internal functions that are used ...

The new version of {golem} is now available! You can download it from your favorite CRAN repository, or by running the following command: remotes::install_github( “thinkr-open/[email protected]” ) What’s up with this new version? In this release, we have been focusing on a closer integration of tests inside the application building process, notably via Server function testing with Shiny, adding tests to ...

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 ...

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. ...

“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. ...

After living for more than a year on GitHub, we are pleased to announce that the {remedy} package is now on CRAN.  ...

For the last months, ThinkR has been involved (with Mango, Procogia and the Linux Foundation) in a working group for an RConsortium R Certification.  ...

Once upon a time, there was a team of fearless R knights who started a new quest: they were missioned to bring the almighty Google Auth into the wonderful world of ShinyProxy. Here is their story, told from the inside.   In the beginning, there was a container For those amongst our readers who do not know ShinyProxy, this open ...

Managing packages in production is a lot of work: you have to juggle between versions, internal packages, CRAN updates, Bioconductor, GitHub sources… Let’s have a look into Posit RStudio Package Manager, one of the tools available that helps you dealing with this. What is love RSPM (Baby don’t hurt me, no more 🎶) RStudio Package Manager (or RSPM for short) ...

A blogpost inspired by a tweet and a YouTube video. ...

Let’s welcome the viridis palette into the new version of {ggplot2}! Viri-what ? viridis is one of the favorite color palettes of one of the member of the team (guesswho). The viridis palette was first developed for the python package matplotlib, and has been implemented in R since. The strengths of this palette are that: plots are beautiful (which is ...