rjdqa
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
A side-by-side editorial comparison of paletteer and survminer — release velocity, themes, recent moves, and the top alternatives to consider.
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.
survminer is back after a five-year gap, and spending it cutting dependencies loose.
survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.
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.
survminer draws Kaplan-Meier curves and Cox diagnostics on top of ggplot2, and it sits under a large share of published survival figures. After a long dormancy it has shipped three releases since late 2024, and all of them are about staying compatible: with ggplot2 3.5, then 4.0, and now without survMisc, whose weighted log-rank tests are computed internally in base R as of 0.5.2. The plotting API itself has not changed.
This is a revival by maintenance, not by feature work — the same pattern as its sibling packages from the same author. The dependency surface is being reduced rather than extended, and each release absorbs a breaking change from ggplot2 that would otherwise leave existing scripts producing errors or misaligned risk tables. Compatibility fixes now arrive within months of the upstream change rather than years.
Continued ggplot2 4.x tracking is the most likely next release content, since 0.5.2 already carries fixes for 4.0.x aesthetics and the GeomConfint stairstep problem.
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 paletteer or survminer.
rjdqa keeps refining one screen: the seasonal adjustment quality dashboard
epikit narrows to field-epidemiology helpers, handing proportions to a sibling package
SimInf 10.0 turns an epidemic simulator into a tool that fits models to real time series
A young package porting Stata's egen row-wise helpers to the tidyverse, one function per release
A statistician's personal toolbox, growing one plotting utility at a time
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
See all paletteer alternatives → · See all survminer alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2 — within Analytics. paletteer and survminer 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. paletteer and survminer 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 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.
Top survminer alternatives in Analytics are ranked by recent ship velocity. Browse the "survminer alternatives" section above for the current picks, or visit /alternatives/survminer for the full list with editorial commentary on each.