Always happy to see new mapping tools for R. David Willinger's **{cartographr}** is a welcome addition to the spatial visualization ecosystem. The more the merrier! cran.r-project.org/package=cart... #rspatial #rstats #Cartography #DataViz #GeoSpatial

cartographr: Crafting Print-Ready Maps and Layered Visualizations

Simplifying the creation of print-ready maps, this package offers a user-friendly interface derived from 'ggplot2' for handling OpenStreetMap data. It streamlines the map-making process, allowing…

cran.r-project.org

started as #cuda learning journey, now it is a way for me to learn about loop engineering. We are aiming for full feature parity with dplyr inside GPUs! #rstats github.com/bbtheo/cuply...

Comparing master...dev · bbtheo/cuplyr

GPU powered dataframes in R. Contribute to bbtheo/cuplyr development by creating an account on GitHub.

github.com

Today I shipped a patch version of mirai 2.7.2 with as many changes as a full version! Lower dispatch overhead for `mirai_map()` and `everywhere()` and clearer errors + many edge case fixes. These automatically translate into wins if you use parallel purrr! mirai.r-lib.org #Rstats #Tidyverse

Minimalist Async Evaluation Framework for R

Evaluates R expressions asynchronously and in parallel, locally or distributed across networks. An official parallel cluster type for R. Built on nanonext and NNG, its non-polling, event-driven archit...

mirai.r-lib.org

We're excited to share bluffbench2, a next-generation data science LLM evaluation. The eval measures how well models notice subtle data quality issues in plots. Even the most capable models today score in the mid-teens. opensource.posit.co/blog/2026-07...

AI Newsletter: LLMs often miss subtle visual artifacts in data visualizations

Introducing bluffbench2, a new data science LLM evaluation.

opensource.posit.co

TIL you can move the Activity Bar to the top of the sidebar. Great when working with laptops. Spotted from @hadley.nz setup in @posit.co Data Science Lab

I started to have too many friends showing up to my weekly petanque sessions. Keeping up with the scores and brackets got wild. So I built a Shiny app for it: bbtheo-petanque-shiny.share.connect.posit.cloud. Multiplayer simultaneous writes via Google Sheets backend, hosted by @posit.co. #rstats

Just released mori 0.1.0 on CRAN — a new R package for shared memory across processes. Parallel R no longer has to mean duplicating your dataset in every worker's RAM. opensource.posit.co/blog/2026-04... 🧵 1/3

mori: Shared memory for R objects

mori is a new R package for sharing R objects across processes via OS-level shared memory. Parallel workers get zero-copy, lazy ALTREP access to the same physical pages — share once, read anywhere.

opensource.posit.co

if anyone else has papers or projects that use rix, please let me know! in open source, people open issues to tell you when things don't work (which is fine) but sometimes, getting positive feedback is nice as well :D

Felipe Fontana Vieira@felipefv.bsky.social · 5mo ago

Yup, github.com/felipelfv/co... Please, let me know if you see any issues!

new package alert! {tidychain} is a #rstats packaged inspired by the below authors experience in showing how an excel file was changed / manipulated by looking at the underlying xml files to prove fraud in research datacolada.org/109package usrbinr.codeberg.page/tidychain/

bracketeer is now in CRAN!!

CRAN Package Updates Bot@cranberriesfeed.bsky.social · 5mo ago

New CRAN package bracketeer with initial version 0.1.1 #rstats https://cran.r-project.org/package=bracketeer

#rstats Can the people complaining about R pipes not being "functional" enough please go hang out in the SQL forums? If any language needs help with ease of debugging and interpreting it's SQL. Thank you and please.

Agree completely. This is why I implemented glimpse style printing as the default for tbl_gpus in cuplyr

Tan@tanho.ca · 5mo ago

tibbles good. glimpse() is a better print than the default tbl print though.

Trying to stay neutral in the #rstats flame wars but my side projects are: * model tournament structures using |> * running tibbles on gpus

Started building {bracketeer} because I needed to run a pétanque tournament for friends and couldn't believe this wasn't solved already. Turns out tournament modeling is harder than it first looks. bbtheo.github.io/bracketeer/ #rstats

Tournament Generator

Create and manage tournament brackets for various competition formats including single elimination, double elimination, round robin, Swiss system, and group-stage-to-knockout tournaments. Provides too...

bbtheo.github.io

Pub quiz. Office ping pong. 10,000 simulated World Cups. A Champions League bracket for your fantasy league. tournament(teams) |> swiss("open", rounds = 5) |> single_elim("playoffs", take = top_n(8)) bracketeer 0.1.0 tournament modeling in base #Rstats github.com/bbtheo/bracketeer

GitHub - bbtheo/bracketeer

Contribute to bbtheo/bracketeer development by creating an account on GitHub.

github.com

cuplyr version 0.1.0 is now out! A GPU-accelerated dplyr backend for R, powered by RAPIDS cuDF. Write familiar tidyverse code, execute on GPU. Lazy eval with AST optimization. In my benchmarks 60x faster than dplyr on 50M rows. github.com/bbtheo/cuplyr #rstats #cuda #DataScience

GitHub - bbtheo/cuplyr: GPU powered dataframes in R

GPU powered dataframes in R. Contribute to bbtheo/cuplyr development by creating an account on GitHub.

github.com

tstats-project.org

New post: the design behind secretbase, a 40KB streaming hash package I maintain. The entire source package is smaller than most hex sticker PNGs. Hash large objects with constant memory. Powers targets pipelines. Plus CBOR encoding comes to R. shikokuchuo.net/posts/28-int... #RStats #OpenSource

The first data science book that has a chapter on monads reproducible-data-science.dev Learn how to build robust #DataScience pipelines with #RStats, #Python , #Julia and #Nix !

What if your dplyr pipelines ran on GPU? That's what I built with cuplyr! A CUDA-powered backend for #rstats data manipulation. Looking for testers and feedback! github.com/bbtheo/cuplyr

GitHub - bbtheo/cuplyr: GPU powered dataframes in R

GPU powered dataframes in R. Contribute to bbtheo/cuplyr development by creating an account on GitHub.

github.com