As part of our work documenting R-Universe,we’re adding screenshots of the interface to the documentation website.Taking screenshots manually could quickly become very cumbersome, especially as we expect they’ll need updating in future: we might want to change the universes we feature, the interface might improve yet again and therefore look slightly different.Therefore, we decided to opt for a programmatic approach.In this post we shall present

A whole new frontend! As you may have noticed, we have given the WebUI for R-universe a big refresh. This is the biggest UX overhaul since the beginning of the project. The old “dashboard” had become a bit convoluted over the years as features and ideas were added and removed while the project was taking shape.

We are excited to announce that R-Universe has been awarded a Google Season of Docs grant. R-Universe is rOpenSci’s platform for testing, building, distributing, and discovering R packages, led by Jeroen Ooms.

Abstract / TLDR R-universe now provides MacOS arm64 binaries for all R packages.

Abstract / TLDR R-universe now builds WASM binaries of all R packages for use in WebR applications (such as shinylive). For example to test the dev version of dplyr, you can open the WebR demo page and run: install.packages('dplyr', repos = c('https://tidyverse.r-universe.dev', 'https://repo.r-wasm.org')) As explained below, not all R packages are supported yet;

The R-Universe is used by professionals from different fields, although they all pursue the same objective: to offer their R packages in a simple and accessible way . At rOpenSci we work to provide tools that facilitate access to data and research software generated with good software development practices and in a friendly community.

El Universo R es utilizado por profesionales de distintos ámbitos, aunque todos persiguen el mismo objetivo: ofrecer sus paquetes de R de manera simple y accesible . Desde rOpenSci trabajamos para ofrecer herramientas que faciliten el acceso a datos y software de investigación generado con buenas prácticas de desarrollo de software y en una comunidad amigable.

Un nuevo artículo de nuestra serie de entrevistas “Conociendo a las estrellas del universo R”. Nuestro objetivo es presentar a los equipos y personas que están detrás del desarrollo de software y paquetes que utilizamos y que están disponibles a través del R-universe. Queremos destacar y explorar diferentes equipos y proyectos de todo el mundo, el trabajo que realizan, sus procesos y usuarios.

A new post of our interview series “Meeting the stars of the R-universe”. We aim to introduce the teams and people behind the development of software and packages many of us use and which are available through the R-Universe. We want to highlight and explore different teams and projects around the world, the work they do, their processes and users.

Summary Installing a package that has just been released to CRAN is painful for many users on Mac and Windows because often the difference between a ‘binary’ and a ‘source’ version is not immediately clear and they end up trying to install the source version, which leads to errors and heartbreak.When I was designing The Carpentries Workbench, I needed to make sure that people could reliably install R packages at any time