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Comparison · Infra & APIs

ggprism vs remap

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

ggprism vs remap: at a glance

Featureggprismremap
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, themes, visualization, compatibilityspatial-modeling, geostatistics, r-packages, maintenance-mode
Last editorial update39m ago3h 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 remap?

A regional-model smoother in long-term maintenance, four years past its last real feature.

remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.

Read the full remap trajectory →

ggprism vs remap: 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.

R
remap
INFRA · APIS
0.0

A regional-model smoother in long-term maintenance, four years past its last real feature.

◆ Current state

remap fits separate models to geographic regions and blends their predictions into a continuous surface, using the min_n nearest observations so region boundaries do not show as discontinuities. The methodological work is finished — the last behavioural change landed in 2022, and everything since has been unit handling, compiler warnings, dependency compatibility and citation updates. The July release is one such patch.

◆ Where it's heading

This is a stable academic package tracking its ecosystem rather than growing. The visible pattern is reactive maintenance: sf's 1.0.0 transition, ggplot2's size-to-linewidth rename, a gcc-UBSAN error on zero-point distance calculations, and now a check that distance matrices passed to remap() and predict() are converted to kilometres. Note that the feed's timestamps invert the version order — 0.3.1 is stamped seconds after 0.3.2 despite being the earlier release, so recency in this feed is not a reliable guide to sequence.

◆ Prediction

Nothing in these entries points to new capability. The realistic expectation is more of the same: a patch whenever sf, ggplot2 or a CRAN check surfaces an incompatibility, at roughly the observed cadence of one release every year or two.

Alternatives to ggprism and remap

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 remap.

See all ggprism alternatives → · See all remap alternatives →

Recent activity from ggprism and remap

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

  1. 1mo agoremapDistance matrices now converted to kilometres automatically
  2. 1y agoggprismggplot2 4.0 compatibility fixes for theme_prism()
  3. 1y agoremapCitation updated to the R Journal article
  4. 1y agoremapUBSAN fix, parallel patch and sf search-path independence
  5. 3y agoremappredict() can return an upper bound on combined standard errors
  6. 5y agoggprismVignette figure and test fixes ahead of ggplot2 3.4
  7. 5y agoremapRegions without observations no longer break the prediction surface
  8. 5y agoggprismadd_pvalue() accepts more input column layouts
  9. 5y agoggprismFirst CRAN submission after the GitHub release
  10. 5y agoggprismInitial release: Prism themes, guides, palettes, p-value brackets

Frequently asked questions

What is the difference between ggprism and remap?

They serve adjacent needs but don't currently overlap on shipped themes. ggprism and remap 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 remap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggprism and remap 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 remap?

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