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Comparison · Infra & APIs

ggprism vs statsExpressions

A side-by-side editorial comparison of ggprism and statsExpressions — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:maintenance

ggprism vs statsExpressions: at a glance

FeatureggprismstatsExpressions
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, themes, visualization, compatibilitystatistics, easystats, ggstatsplot, backend
Last editorial update50m ago2h ago
WebsiteVisit →Visit →

What is ggprism?

A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.

ggprism reproduces GraphPad Prism's look inside ggplot2 through themes, axis guides, palettes and p-value brackets, and has been feature-stable since its 2021 CRAN debut. The only release in the recent window is a compatibility pass for ggplot2 v4.0.0. The rest of the visible history is the original 2021 launch sequence.

Read the full ggprism trajectory →

What is statsExpressions?

A statistics backend whose release history is mostly other people's weather

statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.

Read the full statsExpressions trajectory →

ggprism vs statsExpressions: editorial side-by-side

G
ggprism
INFRA · APIS
0.0

A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.

◆ Current state

ggprism reproduces GraphPad Prism's look inside ggplot2 through themes, axis guides, palettes and p-value brackets, and has been feature-stable since its 2021 CRAN debut. The only release in the recent window is a compatibility pass for ggplot2 v4.0.0. The rest of the visible history is the original 2021 launch sequence.

◆ Where it's heading

The package now moves on upstream's clock rather than its own: releases appear when ggplot2 makes a breaking change, and the content is deprecation cleanup and test repair. The 2021 entries show where the capability surface was set, and it has not widened since.

◆ Prediction

The next release is most likely another ggplot2 compatibility pass rather than new guides or palettes.

S
statsExpressions
INFRA · APIS
0.0

A statistics backend whose release history is mostly other people's weather

◆ Current state

statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.

◆ Where it's heading

This is a component settling into place beneath a larger package rather than a product with its own roadmap. New statistical content arrives rarely and narrowly — an exact-p toggle, one post-hoc function — while the recurring work is keeping expressions correct as the easystats stack shifts underneath. The one bug class it keeps returning to is rendering: p-values of exactly zero, decimal commas that plotmath parses as list separators.

◆ Prediction

Coupled this tightly, the next release is most likely another compatibility pass timed to an easystats or ggstatsplot version rather than new tests. Nothing in these entries signals an independent feature direction.

Alternatives to ggprism and statsExpressions

Other Infra & APIs 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 ggprism or statsExpressions.

See all ggprism alternatives → · See all statsExpressions alternatives →

Recent activity from ggprism and statsExpressions

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
  2. 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
  3. 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
  4. 6mo agostatsExpressionsAdapts to changes in the easystats packages
  5. 1y agoggprismggplot2 4.0 compatibility fixes for theme_prism()
  6. 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
  7. 1y agostatsExpressionscentrality_description() follows the new easystats API
  8. 5y agoggprismVignette figure and test fixes ahead of ggplot2 3.4
  9. 5y agoggprismadd_pvalue() accepts more input column layouts
  10. 5y agoggprismFirst CRAN submission after the GitHub release
  11. 5y agoggprismInitial release: Prism themes, guides, palettes, p-value brackets

Frequently asked questions

What is the difference between ggprism and statsExpressions?

Both compete on the same themes — maintenance — within Infra & APIs. ggprism and statsExpressions 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.

Is ggprism better than statsExpressions?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggprism and statsExpressions 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ggprism?

Top ggprism alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggprism alternatives" section above for the current picks, or visit /alternatives/ggprism for the full list with editorial commentary on each.

What are the best alternatives to statsExpressions?

Top statsExpressions alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statsExpressions alternatives" section above for the current picks, or visit /alternatives/statsexpressions for the full list with editorial commentary on each.