TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of probmed and qualpalr — release velocity, themes, recent moves, and the top alternatives to consider.
probmed went from one probabilistic effect size to a family of them in sixteen days.
probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.
A palette generator became a palette platform — and changed the metric behind every color it picks.
qualpalr generates maximally distinct categorical color palettes by optimizing perceptual distance, with adaptation for color vision deficiency built in from early on. Version 1.0.0 in August 2025 ended an eight-year stretch of small maintenance releases: the color-difference metric became selectable, existing palettes from ColorBrewer and Tableau became usable as input, and functions arrived to list, retrieve, extend and analyze palettes rather than only generate them. The C++ backend was rewritten as part of the same release.
probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.
The pace is manuscript-driven — estimators arrive with their citations attached and vignettes alongside, and the 0.1.0 notes correct the estimand itself against a manuscript definition rather than fixing a bug in code. Each release adds inference machinery as well as point estimates: percentile-bootstrap intervals and Fieller sets in 0.3.0, a deterministic MBCO interval in 0.2.0 that avoids resampling entirely. The gauge residual and the pmed_sensitivity() helper suggest a growing concern with when the estimand does not decompose at all.
0.3.0 shipped a sensitivity helper for shared mediator-outcome confounding and a diagnostic that flags non-decomposability, so the next release most likely extends that diagnostic side rather than adding a fifth estimator family.
qualpalr generates maximally distinct categorical color palettes by optimizing perceptual distance, with adaptation for color vision deficiency built in from early on. Version 1.0.0 in August 2025 ended an eight-year stretch of small maintenance releases: the color-difference metric became selectable, existing palettes from ColorBrewer and Tableau became usable as input, and functions arrived to list, retrieve, extend and analyze palettes rather than only generate them. The C++ backend was rewritten as part of the same release.
The package is moving from a generator to a toolkit that also works on palettes it did not create. Accepting a named palette as input, extending an existing one, and analyzing an arbitrary categorical palette all point the optimization machinery outward at the palettes people already use. The color-vision-deficiency handling followed the same path, consolidating from a single cvd_severity scalar to a named vector giving protan, deuter and tritan their own severities.
Two deprecations are explicitly staged for the next major release — autopal(), with no replacement offered, and cvd_severity — so removal is the most likely next structural step. The 1.0.1 release already tracks the underlying qualpal C++ library separately, suggesting future changes may arrive from there.
Other Analytics 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 probmed or qualpalr.
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
College football's open data client hit v2 — and now reports how many API calls you have left.
The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.
GeneNMF rebuilt how it derives meta-programs, changing every result it had produced.
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
A spatial-statistics utility package exists to be depended on, and is built accordingly.
See all probmed alternatives → · See all qualpalr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. probmed and qualpalr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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. probmed and qualpalr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top probmed alternatives in Analytics are ranked by recent ship velocity. Browse the "probmed alternatives" section above for the current picks, or visit /alternatives/probmed for the full list with editorial commentary on each.
Top qualpalr alternatives in Analytics are ranked by recent ship velocity. Browse the "qualpalr alternatives" section above for the current picks, or visit /alternatives/qualpalr for the full list with editorial commentary on each.