TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
A side-by-side editorial comparison of qualpalr and tEDM — release velocity, themes, recent moves, and the top alternatives to consider.
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.
The temporal half of the stscl EDM pair, tracking its spatial sibling
tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.
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.
tEDM applies empirical dynamic modeling to time series — cross mapping, convergent cross mapping and the logistic map — as the temporal counterpart to spEDM, with which it shares a maintainer and a C++ core. The recent releases are consolidation rather than expansion: index handling in cross mapping corrected, generics taught to accept varying E, k and tau, and the associated paper now cited in the README. Only three releases are visible in the feed.
tEDM moves in lockstep with spEDM. Configurable distance metrics, varying E/k/tau inputs, strict floating-point comparison and the S3 plotting font unification all appear in both packages within days or weeks, as does the maintainer surname correction. The recent balance has tilted toward correcting library and prediction index handling — the kind of repeated attention that suggests the indexing model was the weak point of the shared core.
Expect tEDM to keep inheriting the shared-core changes spEDM lands, with its own releases staying small and centred on cross-mapping parameter handling rather than new method surface.
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 qualpalr or tEDM.
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 qualpalr alternatives → · See all tEDM alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. qualpalr and tEDM 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. qualpalr and tEDM 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 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.
Top tEDM alternatives in Analytics are ranked by recent ship velocity. Browse the "tEDM alternatives" section above for the current picks, or visit /alternatives/tedm for the full list with editorial commentary on each.