ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
A side-by-side editorial comparison of robscale and rstudio.prefs — release velocity, themes, recent moves, and the top alternatives to consider.
A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.
robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.
Four years dormant, rstudio.prefs returns under a new maintainer.
The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.
robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.
Three releases in a fortnight walk a clear line: expand the public API, submit to CRAN, then tune. The 0.5.4 work is where that tuning shows, and it is unusually specific about hardware, raising sorting-network thresholds after benchmarking and dropping the AVX-512 path entirely in favour of a shorter AVX2-first dispatch chain. The build-fix lists are long, which is what a package fighting compiler and TBB variation across CRAN's platforms looks like.
The dispatch hierarchy has been simplified once already; further releases most likely continue narrowing the SIMD surface and hardening the configure step rather than adding estimators. A new estimator would be the surprise.
The package scripts RStudio's own settings — preferences, secondary repositories, keyboard shortcuts — as code you can drop into a project or an onboarding doc. After 0.1.9 in July 2022 it went quiet for four years. 0.2.0 ends that with a maintainer handoff from Daniel D. Sjoberg to S.A. van der Wulp, a shortcut-removal path, and a fix for a corrupted addins.json entry that made reassigned shortcuts fail silently.
The through-line is teaching every setter how to unset. Secondary repositories got NULL removal back in 0.1.6; 0.2.0 extends the same convention to keyboard shortcuts. Most of the rest of 0.2.0 is arrears — a stale documentation URL that hid preferences such as enable_splash_screen, a deprecated purrr::update_list() call, and check_shortcut_consistency() erroring early on an unknown name.
With a new maintainer and refreshed GitHub Actions, the near-term work is likely more catch-up of the same kind: remaining deprecated dependencies and the preference list that fetch_rstudio_prefs() reads from RStudio's docs. Nothing in these notes points past RStudio settings as the scope.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either robscale or rstudio.prefs.
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore declared its API stable with every survey design type covered.
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
See all robscale alternatives → · See all rstudio.prefs alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rstudio.prefs is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top robscale alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "robscale alternatives" section above for the current picks, or visit /alternatives/robscale for the full list with editorial commentary on each.
Top rstudio.prefs alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "rstudio.prefs alternatives" section above for the current picks, or visit /alternatives/rstudio-prefs for the full list with editorial commentary on each.