mastodon 4.8.0-nightly.2026-10-06PhD in economics from LISER, Luxembourg, now Research Software Engineer at University College London. Mostly here to talk about #rstats
#rstats tidypolars 0.19.0 is available! tidypolars provides the tidyverse syntax while using polars for better performance.
In this release:
- support more functions, including the new %notin% operator
- better consistency with tidyverse
- include polars performance improvements
- bug fixes
Changelog: https://tidypolars.etiennebacher.com/news/
#rstats I'm very happy to announce Jarl 0.5.0!
Jarl is a very fast R linter, written in Rust. This release brings many improvements and fixes:
- check R code chunks in R Markdown and Quarto docs
- check "@examples" and "@examplesIf" sections if you use roxygen2
- detect unused or duplicated functions in pkgs
- rules on specific pkgs, e.g. on `dplyr::filter()`, are now possible. Feel free to suggest more and in other pkgs too!
Post: https://www.etiennebacher.com/posts/2026-03-23-jarl-0.5.0/
Changelog: https://jarl.etiennebacher.com/changelog
#rstats I'm very happy to announce Jarl 0.4.0!
Jarl is a very fast R linter, written in Rust. This release brings lots of improvements and fixes:
- Jarl can now find unreachable code, meaning code that will never run because it's after a stop(), a return(), etc.
- the suppression comments system (to ignore diagnostics on specific lines) has been entirely rewritten
- and more!
See the blog post: https://www.etiennebacher.com/posts/2026-02-03-jarl-0.4.0
And the full changelog: https://jarl.etiennebacher.com/
#rstats I'm very happy to introduce Jarl, a new R linter.
Jarl is a command line tool with extensions in VS Code, Positron, and Zed. It is extremely fast, able to check thousands of lines of R code in milliseconds. The GIF below shows how r-source (about 200k lines of R code) is parsed in less than 800ms.
Jarl provides several output formats, a workflow file for Github Actions, and more features.
More info:
- blog post: https://www.etiennebacher.com/posts/2025-11-20-introducing-jarl/
- website: https://jarl.etiennebacher.com/
#rstats Jarl 0.3.0 is available!
Jarl is a very fast R linter, able to check and fix thousands of lines in milliseconds.
New since initial release:
- 6 new rules
- ignore automatically generated files by default
- bug fixes and perf improvements
All changes: https://jarl.etiennebacher.com/changelog
#rstats tidypolars 0.18.0 is available!
tidypolars provides the tidyverse syntax while using polars for better performance.
In this release:
- support more base R functions
- bug fixes (including better NA handling in several functions)
- and more
#rstats Jarl 0.2.0 is available!
Jarl is a very fast R linter, written in Rust.
New since the initial release:
* 10 new rules, including 5 opt-in rules for testthat that can be activated with:
- `--extend-select TESTTHAT` in the CLI
- `extend-select = ["TESTTHAT"]` in jarl.toml
* 3 CLI args were renamed
* bug fixes and new docs:
- vignette "Tutorial: add a new rule"
- new sections on how to use Jarl in Helix and Neovim
Changelog: https://jarl.etiennebacher.com/changelog
#rstats I've given a workshop a few days ago on handling large data (think tens to hundreds of millions of rows) with Polars in Python and in R.
Here are my introductory slides: https://brussels-large-data-r-python.etiennebacher.com
And the associated repo: https://github.com/etiennebacher/brussels_teaching_january_2026
#rstats tidypolars 0.16.0 is available!
tidypolars provides the tidyverse syntax while using polars in the background for efficient computations.
In this release:
- more support for unnest and separate functions from tidyr
- new interface to export partitioned output
- more improvements and bug fixes
News: https://www.tidypolars.etiennebacher.com/news/#tidypolars-0160
#rstats tidypolars 0.17.0 is available!
tidypolars provides the tidyverse syntax while using polars for better perf.
In this release:
- support new functions from dplyr 1.2.0 (filter_out, when_any...)
- pivot_wider with lazyframe
- bug fixes
and more
#rstats {flint} 0.1.2 is available via R-universe! This release comes with several bug fixes and new linters.
{flint} is a package to detect and automatically fix lints in R code. It is also very fast and compatible with many {lintr} rules.
More info: https://flint.etiennebacher.com/