rOpenSci News Digest, March 2026

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Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog. Now let’s dive into the activity at and around rOpenSci!

rOpenSci HQ

rOpenSci Dev Guide 1.0.0: Trilingual and Improved

rOpenSci Software Peer Review’s guidance is gathered in an online book that keeps improving! It is now available in English, Spanish and Portuguese. Read more in the release announcement

Champions Program Update

We are still going through the Champions selection process, and we’re excited to share that the new group of mentors has already been selected and is now actively reviewing Champions applications.

This cohort brings together a wonderful mix of returning Champions stepping into mentorship roles, mentors continuing their contributions, and new members joining the program. The 2026 mentors are Andrea Gómez Vargas, Pablo Paccioretti, Alber Hamersson Sánchez Ipia, Erick Isaac Navarro Delgado, Francisco Cardozo, Luis Verde Arregoitia, Monika Ávila Márquez, Guadalupe Pascal, Pao Corrales, and Elio Campitelli. Together, they represent a diverse and vibrant community across Colombia, Mexico, Argentina, Brazil, and Bolivia, with some currently based in Switzerland, Canada, the United States, and Australia. We’re very happy to see this growing, interconnected network supporting the next cohort of Champions.

R-Universe update

You can now download artifacts and log files from R-Universe without being logged in with a GitHub account, for example https://ropensci.r-universe.dev/opencv#checktable.

Software review and usage of AI tools

Authors submitting new software for peer review are now required to explain potential usage of generative AI tools in their package development. All submission templates now include a mandatory check-box:

- [ ] Generative AI tools were used to produce some of the material in this submission.
If so, please describe usage, and include links to any relevant aspects of your repository.

This is the start of our updates to accommodate generative AI tools in package development, as described in our recent blog post. The next phase will involve updates to our Dev Guide, explaining requirements and recommendations for authors, reviewers, and editors. All updates are intended to permit generative AI tools to be used in any useful way, while minimising the burden on those who volunteer their own time to keep our software peer review service running.

Software review bot updates

The ropensci-review-bot now delivers an initial report to all new software pre-submissions and submissions, identifying the five most similar packages from both all rOpenSci packages, and all CRAN packages. The matches are generated by our ropensci-review-tools/pkgmatch package (itself reviewed in this review issue). Matching is based on an “term frequency-inverse document frequency” algorithm, using inverse document frequencies from all rOpenSci and CRAN packages. Similar package reports can also be manually triggered (by editors only) with @ropensci-review-bot similar packages, like in this example for the pkgmatch package itself.

Coworking

Read all about coworking!

And remember, you can always cowork independently on work related to R, work on packages that tend to be neglected, or work on what ever you need to get done!

Software 📦

New packages

The following package recently became a part of our software suite:

  • suwo, developed by Marcelo Araya-Salas together with Jorge Elizondo-Calvo and Alejandro Rico-Guevara: Streamline searching/downloading of nature media files (e.g. audios, photos) from online repositories. The package offers functions for obtaining media metadata from online repositories, downloading associated media files and updating data sets with new records. It has been reviewed by Eric R. Scott and Hugo Gruson.

Discover more packages, read more about Software Peer Review.

New versions

The following eleven packages have had an update since the last newsletter: cffr (v1.3.0), pkgmatch (v0.5.2), tarchetypes (0.14.1), rgbif (v3.8.5), saperlipopette (v0.1.1), gutenbergr (v0.5.0), trud (v0.2.1), naijR (v0.7.0), sasquatch (v0.1.3), lingtypology (v1.1.25), and rerddap (v1.2.3).

Post on dfms release: Releasing dfms 1.0: Fast and Feature-Rich Estimation of Dynamic Factor Models in R.

Software Peer Review

There are fifteen recently closed and active submissions and 5 submissions on hold. Issues are at different stages:

Find out more about Software Peer Review and how to get involved.

On the blog

Software Review

cover of rOpenSci dev guide, showing a package production line with small humans discussing, examining and promoting packages

Calls for contributions

Calls for maintainers

If you’re interested in maintaining any of the R packages below, you might enjoy reading our blog post What Does It Mean to Maintain a Package?.

Calls for contributions

Refer to our help wanted page – before opening a PR, we recommend asking in the issue whether help is still needed.

Package development corner

Some useful tips for R package developers. 👀

A new R core member!

The R Foundation announced that Heather Turner has joined the R Core Team! 🎉

How to browse the R mailing lists

The official mailing lists of the R project like R-package-devel are full of important and useful information. How to browse them, given that the default website is not easy to search? You can use the mail-archive website (thanks to Hugo Gruson for the reminder!) or a new project by James Balamuta: the R Mailing Lists Archive!

“Claude Code: Setting up ast-grep with R support”

Thanks to Mauro Lepore for sharing this blog post by Emil Hvitfeldt: “Claude Code: Setting up ast-grep with R support”. ast-grep is a tool for querying code by syntax rather than brittle regular expressions. The blog post describes how to add R support to this tool, and how to take advantage of it when using Claude.

On muffling messages from packages

A follow-up on our post “Please Shut Up! Verbosity Control in Packages”.

  • With the {cli} R package you can change the default handler for messages. See the docs. It seems mostly used to muffle messages, e.g. in flir.
  • Here’s how the usethis R package muffles gert message selectively.

Last words

Thanks for reading! If you want to get involved with rOpenSci, check out our Contributing Guide that can help direct you to the right place, whether you want to make code contributions, non-code contributions, or contribute in other ways like sharing use cases. You can also support our work through donations.

If you haven’t subscribed to our newsletter yet, you can do so via a form. Until it’s time for our next newsletter, you can keep in touch with us via our website and Mastodon account.

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