← Back to home
Comparison · Infra & APIs

ggprism vs jSDM

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

ggprism vs jSDM: at a glance

FeatureggprismjSDM
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, themes, visualization, compatibilityspecies-distribution-models, bayesian, gibbs-sampling, ecology
Last editorial update1h ago1h 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 jSDM?

Joint species distribution models in Gibbs-sampled C++, quiet since 2023.

jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.

Read the full jSDM trajectory →

ggprism vs jSDM: 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.

J
jSDM
INFRA · APIS
0.0

Joint species distribution models in Gibbs-sampled C++, quiet since 2023.

◆ Current state

jSDM fits joint species distribution models by Gibbs sampling, with the sampler written in C++ against GSL and Armadillo and exposed through binomial probit, binomial logit, Poisson log and Gaussian entry points. The 0.2 line extended it with species traits, constrained factor loadings and residual-association plots. The one entry since 2023 carries only a compare link.

◆ Where it's heading

The package built out its model family quickly and then stopped: five of the six visible entries are stamped the same day as a backfilled archive, and the only later release says nothing about its contents. The direction the 0.2 line was heading, toward trait-mediated species effects and better convergence on latent variable models, has no visible continuation.

◆ Prediction

The feed does not support a confident prediction; the latest entry publishes no notes, so whether the package is still developing or only being kept CRAN-clean cannot be read from it.

Alternatives to ggprism and jSDM

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 jSDM.

See all ggprism alternatives → · See all jSDM alternatives →

Recent activity from ggprism and jSDM

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

  1. 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
  2. 1y agoggprismggplot2 4.0 compatibility fixes for theme_prism()
  3. 3y agojSDMSpecies traits, constrained loadings and association plots
  4. 3y agojSDMFirst release: C++ Gibbs sampler for joint species models
  5. 3y agojSDMResidual correlation functions can filter to significant values
  6. 3y agojSDMjSDM_gaussian() fits continuous data with overdispersion
  7. 3y agojSDMFour versions of CRAN check corrections
  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 jSDM?

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

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

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