R-universe: your personal R space The r-universe platform provides users and organizations with a personal CRAN-like repository for publishing software, rmarkdown articles, and other content that fits in an R package.

Browsing articles on R-universe In the past weeks we have extended the R-universe build system and front-ends with some new features for publishing articles . Articles can be used for documentation of R packages, but also for other purposes, such as reports, tutorials, papers, or research compendia.Publishing of articles in R-universe is based on the R vignette system, and we may add support for other types of articles later on. The

The R-universe build system The R-universe system is a complex effort, consisting of numerous frontend and backend pieces that operate across various platforms. A key challenge in developing such a system is managing overall complexity by finding ways to reduce the problem into smaller, loosely coupled components, which can be thought of, and developed, somewhat independently.

It has been a while since we posted an update about magick, but behind the scenes we are constantly tweaking and improving this package, which has become a very mature and complete toolkit for image processing in R. Over the past year, we did 6 CRAN releases, containing many small features and fixes, but perhaps more importantly, the package is getting betting better due to updates of the underlying ImageMagick library.

A new version of vcr was just released. See the release notes for all the details. I want to highlight a few of the more notable changes. New contributor vcr has a new author: Maëlle Salmon. She has been contributing to the package quite a lot lately, including many documentation improvements and big updates to the HTTP Testing in R which covers vcr in addition to some other packages.

At rOpenSci, we encourage R package developers to take advantage of Continuous Integration services to automatically check the package on different platforms, with different versions of R. The rOpenSci dev guide dedicates chapter 2 to the topic of Continuous Integration Best Practices , and recommends a few common CI vendors, including Travis CI. Travis CI has been a pioneer in free public CI services, and made the concept popular in

fulltext is a package I maintain for text-mining the scholarly literature (package docs). You can search for articles, fetch article metadata and abstracts, and fetch full text of some articles. Text-mining the scholarly literature is a research tool used across disciplines. Full text of articles (entire article, not just the abstract) is the gold standard in text-mining in most cases.

Google’s amazing V8 JavaScript/WASM engine is probably one of the most sophisticated open-source software libraries available today. It is used to power the computation in Google Chrome, NodeJS, and also CloudFlare Workers, which make it possible to run code for your website inside the CDN edges. The R package V8 exposes this same engine in R, and has been on CRAN since 2014.

In October last year we wrote about the CRAN Checks API (https://cranchecks.info). Since then there have been four new major items introduced: documentation, notifications, search, and a new version of the cchecks R package. First, an introduction to the API for those not familiar.

This week we released a major new version of the rsvg package on CRAN. This package provides R bindings to librsvg2 which is a powerful system library for rendering svg images into bitmaps that can be displayed, or use for further processing in for example the magick package. The biggest change in this release is the R package on Windows and MacOS now includes the latest librsvg 2.48.4. This is a major upgrade;