tern.rbmi
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
A side-by-side editorial comparison of ggsci and grex — release velocity, themes, recent moves, and the top alternatives to consider.
ggsci quietly became a palette mirror, then taught itself to generate colors on demand
ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.
grex is a lookup table with a version number — it ships when the annotation moves.
grex converts the deprecated Ensembl gene IDs found in GTEx data into current gene symbols and identifiers, using org.Hs.eg.db as its reference. Its value is entirely in that bundled reference data, so a release either refreshes the mapping or does nothing to it. The 2025 release does nothing to it: GitHub Actions for the docs site, a check-note fix, and a smaller vignette.
ggsci ships ready-made ggplot2 color scales, originally journal and sci-fi palettes and now overwhelmingly terminal themes — the iTerm collection has grown past 400 entries and picks up 30 to 70 more with each sync. The one structural change in the recent run is gephi_palettes(), which generates distinct categorical colors for an arbitrary number of levels rather than serving a fixed list. Release cadence is steady, roughly every six to eight weeks.
Two threads run in parallel. The larger one is curation: ggsci has effectively become a distribution channel for upstream color work, adding design-system palettes (Primer, Atlassian, Bootstrap, Tailwind) and re-syncing iTerm as that project changes, including correcting existing color values when upstream moves. The smaller and more interesting one is generation — the Gephi engine sidesteps the ceiling every fixed palette has, which is what happens when a plot needs more categories than any curated set provides.
Given how much of the release notes each cycle is a mechanical upstream sync, the plausible next step is automating those syncs rather than adding another vendor palette by hand; the Gephi generator is the more likely place any genuinely new capability appears.
grex converts the deprecated Ensembl gene IDs found in GTEx data into current gene symbols and identifiers, using org.Hs.eg.db as its reference. Its value is entirely in that bundled reference data, so a release either refreshes the mapping or does nothing to it. The 2025 release does nothing to it: GitHub Actions for the docs site, a check-note fix, and a smaller vignette.
The annotation refreshes stopped. Between 2017 and 2019 the package tracked org.Hs.eg.db through four versions and added the GTEx V7 identifier set; since then the reference has stood still while the releases turned to packaging. That gap matters more here than it would elsewhere — a stale mapping table silently returns outdated symbols rather than failing, so the package's core asset ages invisibly.
Nothing in these entries signals a planned data refresh, and the six-year pattern suggests the next release will again be infrastructure. Users needing current annotations should check which org.Hs.eg.db version is bundled rather than assume the version number reflects it.
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 ggsci or grex.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
A single-purpose ggplot2 inset tool, refining the same three arguments.
An R symbolic-maths binding whose changelog is really the C++ core's release notes.
gtfstools stopped guarding its own object model and started accepting everyone else's.
The glue package that makes R carry units and uncertainty through the same calculation.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggsci 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. ggsci 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 Analytics products to evaluate alongside.
Top ggsci alternatives in Analytics are ranked by recent ship velocity. Browse the "ggsci alternatives" section above for the current picks, or visit /alternatives/ggsci for the full list with editorial commentary on each.
Top grex alternatives in Analytics are ranked by recent ship velocity. Browse the "grex alternatives" section above for the current picks, or visit /alternatives/grex-r for the full list with editorial commentary on each.