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Comparison · Infra & APIs

goat vs jSDM

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

goat vs jSDM: at a glance

FeaturegoatjSDM
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbioinformatics, gene-set-analysis, r-package, cranspecies-distribution-models, bayesian, gibbs-sampling, ecology
Last editorial update1h ago42m ago
WebsiteVisit →Visit →

What is goat?

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.

Read the full goat 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 →

goat vs jSDM: editorial side-by-side

G
goat
INFRA · APIS
0.0

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

◆ Current state

GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.

◆ Where it's heading

The substantive expansion happened in the 1.1 cycle; everything since has been maintenance and plotting ergonomics. Each release since 1.1 touches one function and returns something callers previously had to reconstruct, which reads as a package settling into a stable API and responding to individual user requests rather than pursuing new scope. The 13-month gap between 1.1.2 and 1.1.4 puts it firmly in low-cadence maintenance.

◆ Prediction

Expect continued point releases that expose internals from the plotting functions or refresh the bundled GO release, not new analysis capability. The entries give no signal of a planned 1.2.

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 goat 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 goat or jSDM.

See all goat alternatives → · See all jSDM alternatives →

Recent activity from goat and jSDM

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

  1. 6mo agogoatplot_network() now hands back the igraph object
  2. 9mo agojSDMjSDM CRAN release v0.2.7: Joint Species Distribution Models
  3. 1y agogoatFix for a reduce_genesets() infinite loop
  4. 1y agogoatGene sets beyond human, and analyses you can reload
  5. 2y agogoatFirst public release, now on CRAN
  6. 2y agogoatplot_lollipop() gains barplots and an effect-size axis
  7. 2y agogoatBeta 0.9.5 tagged, with no changes described
  8. 3y agojSDMSpecies traits, constrained loadings and association plots
  9. 3y agojSDMFirst release: C++ Gibbs sampler for joint species models
  10. 3y agojSDMResidual correlation functions can filter to significant values
  11. 3y agojSDMjSDM_gaussian() fits continuous data with overdispersion
  12. 3y agojSDMFour versions of CRAN check corrections

Frequently asked questions

What is the difference between goat and jSDM?

They serve adjacent needs but don't currently overlap on shipped themes. goat 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 goat better than jSDM?

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

Top goat alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "goat alternatives" section above for the current picks, or visit /alternatives/goat 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.