paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of errors and paletteer — release velocity, themes, recent moves, and the top alternatives to consider.
errors keeps making uncertainty print the way each scientific field expects.
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
A palette aggregator that grows by absorbing other packages, not by changing shape
paletteer collects colour palettes from across the R ecosystem behind one consistent interface, so users can reference any of them by a single name rather than installing each source package. Its function surface has been essentially fixed for years; what changes each release is the catalogue. Version 1.7.0 pulls in palettes from ButterflyColors, feathers, ggsci, khroma, PrettyCols, tayloRswift, blueycolors, amerika, Rdune and poisonfrogs, and tightens argument checking.
errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.
Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.
Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.
paletteer collects colour palettes from across the R ecosystem behind one consistent interface, so users can reference any of them by a single name rather than installing each source package. Its function surface has been essentially fixed for years; what changes each release is the catalogue. Version 1.7.0 pulls in palettes from ButterflyColors, feathers, ggsci, khroma, PrettyCols, tayloRswift, blueycolors, amerika, Rdune and poisonfrogs, and tightens argument checking.
This is a catalogue, and catalogues grow by ingestion. Every substantive release since 1.3.0 is a list of source packages absorbed, in batches of tens to low hundreds of palettes, with occasional maintenance on the metadata tables that describe them. Release cadence follows contributor pull requests rather than any internal roadmap — roughly one release every one to two years, each bundling whatever accumulated.
Expect the same: another release when enough new source packages have been proposed, likely paired with further work on palettes_c_names and palettes_d_names, the only part of the package that has been iterated on for its own sake.
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 errors or paletteer.
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls has not changed its statistics since 2016 — only its website, twice.
grex is a lookup table with a version number — it ships when the annotation moves.
protr's feature set is finished; the work now is surviving Bioconductor's churn.
See all errors alternatives → · See all paletteer alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2 — within Analytics. errors and paletteer 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. errors and paletteer 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 errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-r for the full list with editorial commentary on each.
Top paletteer alternatives in Analytics are ranked by recent ship velocity. Browse the "paletteer alternatives" section above for the current picks, or visit /alternatives/paletteer-r for the full list with editorial commentary on each.