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A 2017 chemometrics method frozen in place, visited only when CRAN changes its documentation rules.
Comparison · Analytics
ggsci vs rstatix
A side-by-side editorial comparison of ggsci and rstatix — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r
ggsci vs rstatix: at a glance
What is ggsci?
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.
What is rstatix?
rstatix hit 1.0 by unrounding every p-value it has ever returned
rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.
ggsci vs rstatix: editorial side-by-side
ggsci
2.5ANALYTICS
ggsci quietly became a palette mirror, then taught itself to generate colors on demand
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
rstatix
2.5ANALYTICS
rstatix hit 1.0 by unrounding every p-value it has ever returned
◆ Current state
rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.
◆ Where it's heading
The work is about matching what dedicated effect-size packages give you without taking on their dependencies. Confidence intervals for partial eta squared and for Cohen's d are both computed in base R from noncentral distributions and both check against effectsize; compact letter displays are computed in base R against multcompView. The pattern is deliberate — reproduce the reference implementation, add no imports. Alongside that, the package has started correcting statistical hygiene it got wrong for years, most visibly by no longer rounding p-values before adjusting them.
◆ Prediction
The analytic-interval machinery now exists for eta squared and Cohen's d; the untouched effect sizes in the package — eta squared for nonparametric tests, Cramer's V, rank-biserial correlation — are the obvious next targets for the same base-R noncentral treatment.
Alternatives to ggsci and rstatix
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 rstatix.
fastplyr
A fast dplyr stand-in that keeps finding new places to skip work entirely.
trias
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
icesSAG
The ICES stock assessment client took upload away in 2024 and spent two years giving it back.
dggridR
A discrete global grid generator grew cell traversal and became a usable spatial index.
vegan
Community ecology's standard toolkit is retiring the functions a generation of scripts was built on.
See all ggsci alternatives → · See all rstatix alternatives →
Recent activity from ggsci and rstatix
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agoggsciggsci 5.2.0
- 22d agorstatixrstatix 1.1.0 gives Cohen's d a deterministic confidence interval
- 1mo agorstatixrstatix 1.0.0 stops rounding p-values before adjusting them ⚡
- 1mo agoggsciggsci 5.1.0
- 4mo agoggsciggsci 5.0.0 generates categorical colors instead of serving a fixed list ⚡
- 4mo agoggsciggsci 4.3.0
- 8mo agoggsciggsci 4.2.0
- 9mo agoggsciggsci 4.1.0
- 9mo agorstatixrstatix 0.7.3
- 3y agorstatixrstatix 0.7.2
- 3y agorstatixrstatix 0.7.1
- 5y agorstatixrstatix 0.7.0
Frequently asked questions
What is the difference between ggsci and rstatix?
Both compete on the same themes — r — within Analytics. ggsci and rstatix are shipping at a similar cadence (velocity 2.5 vs 2.5, 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.
Is ggsci better than rstatix?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsci and rstatix are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to ggsci?
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.
What are the best alternatives to rstatix?
Top rstatix alternatives in Analytics are ranked by recent ship velocity. Browse the "rstatix alternatives" section above for the current picks, or visit /alternatives/rstatix for the full list with editorial commentary on each.