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Comparison · Infra & APIs

coga vs ggprism

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

coga vs ggprism: at a glance

Featurecogaggprism
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesprobability-distributions, gamma-convolution, rcpp, maintenance-modeggplot2, themes, visualization, compatibility
Last editorial update6h ago42m ago
WebsiteVisit →Visit →

What is coga?

A gamma-convolution density package that reached completion in 2018 and has coasted since.

coga computes densities, distribution functions and random numbers for convolutions of gamma distributions, with the numerical work in C++ through Rcpp. It has been feature-complete since 1.0.0 in 2018, and every release in the seven years since has been maintenance: a documentation alias for CRAN, a compiler warning, a maintainer email change, and an Rcpp update requiring Rf_error calls to be guarded. The one functional addition in that period, in 1.1.0, was an unexported function added explicitly for research use.

Read the full coga trajectory →

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 →

coga vs ggprism: editorial side-by-side

C
coga
INFRA · APIS
0.0

A gamma-convolution density package that reached completion in 2018 and has coasted since.

◆ Current state

coga computes densities, distribution functions and random numbers for convolutions of gamma distributions, with the numerical work in C++ through Rcpp. It has been feature-complete since 1.0.0 in 2018, and every release in the seven years since has been maintenance: a documentation alias for CRAN, a compiler warning, a maintainer email change, and an Rcpp update requiring Rf_error calls to be guarded. The one functional addition in that period, in 1.1.0, was an unexported function added explicitly for research use.

◆ Where it's heading

This is a finished package being kept alive rather than developed. The releases track external pressure exactly: CRAN documentation requirements, compiler warnings, Rcpp API changes. Its maintenance is visibly shared with smam, the same maintainer's animal-movement package, which received the same email update, the same format-security fix and the same Rcpp guard within a minute or twenty of coga each time. Neither package is being extended; both are being kept installable.

◆ Prediction

Expect nothing but CRAN and toolchain maintenance, arriving whenever Rcpp or R's check requirements change, and arriving alongside smam. There is no signal in these entries of planned functional work.

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.

Alternatives to coga and ggprism

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 coga or ggprism.

See all coga alternatives → · See all ggprism alternatives →

Recent activity from coga and ggprism

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

  1. 5mo agocogaRcpp attributes regenerated; email updated
  2. 1y agoggprismggplot2 4.0 compatibility fixes for theme_prism()
  3. 2y agocogaMaintainer email updated
  4. 2y agocogaCompiler format-security warning resolved
  5. 3y agocogaPackage documentation alias added for CRAN
  6. 5y agoggprismVignette figure and test fixes ahead of ggplot2 3.4
  7. 5y agoggprismadd_pvalue() accepts more input column layouts
  8. 5y agoggprismFirst CRAN submission after the GitHub release
  9. 5y agoggprismInitial release: Prism themes, guides, palettes, p-value brackets
  10. 6y agocogaUnexported density variant added for research use
  11. 8y agocoga1.0.0 declares the package complete and documented

Frequently asked questions

What is the difference between coga and ggprism?

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

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

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

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.