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Comparison · Infra & APIs

ggprism vs stochvol

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

Shared themes:maintenance

ggprism vs stochvol: at a glance

Featureggprismstochvol
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, themes, visualization, compatibilitybayesian-inference, stochastic-volatility, mcmc, rcpp
Last editorial update1h 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 stochvol?

A Bayesian volatility sampler in its maintenance decade, paying for its own speed

stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.

Read the full stochvol trajectory →

ggprism vs stochvol: 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
stochvol
INFRA · APIS
0.0

A Bayesian volatility sampler in its maintenance decade, paying for its own speed

◆ Current state

stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.

◆ Where it's heading

This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.

◆ Prediction

Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.

Alternatives to ggprism and stochvol

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 stochvol.

See all ggprism alternatives → · See all stochvol alternatives →

Recent activity from ggprism and stochvol

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

  1. 5mo agostochvolSampler crash with constant parameters fixed, plus RcppArmadillo 15
  2. 1y agoggprismggplot2 4.0 compatibility fixes for theme_prism()
  3. 1y agostochvolTwo CRAN check notes cleared
  4. 1y agostochvolProposal variance corrected in the centered parameterisation
  5. 2y agostochvolCRAN stochvol 3.2.4
  6. 2y agostochvolRolling-window indexing and inverse gamma prior validation fixed
  7. 3y agostochvolCore C++ sampler routines exported for reuse
  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 stochvol?

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

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

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