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Comparison · Infra & APIs

goat vs JointFPM

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

goat vs JointFPM: at a glance

FeaturegoatJointFPM
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbioinformatics, gene-set-analysis, r-package, cransurvival-analysis, recurrent-events, parametric-models, api-stability
Last editorial update2h ago1h 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 JointFPM?

Recurrent-event modelling settles, with mean_no() promoted to stable.

JointFPM fits joint flexible parametric models for a recurrent event process alongside a competing terminal event, and predicts the mean number of events. The visible history runs from bug fixes on the earliest CRAN releases through standardization, integration options and a summary method, ending with mean_no() declared stable. Several changes arrived through outside pull requests.

Read the full JointFPM trajectory →

goat vs JointFPM: 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
JointFPM
INFRA · APIS
0.0

Recurrent-event modelling settles, with mean_no() promoted to stable.

◆ Current state

JointFPM fits joint flexible parametric models for a recurrent event process alongside a competing terminal event, and predicts the mean number of events. The visible history runs from bug fixes on the earliest CRAN releases through standardization, integration options and a summary method, ending with mean_no() declared stable. Several changes arrived through outside pull requests.

◆ Where it's heading

The arc runs from a working estimator toward a usable one: input validation and error messages first, then control over the numerical integration, then a summary method and pass-through arguments to the underlying rstpm2 fit. The latest release adds no code so much as a stability commitment to a function users were already calling.

◆ Prediction

With mean_no() stable, the next work most likely targets the prediction and standardization paths rather than the model fit itself.

Alternatives to goat and JointFPM

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 JointFPM.

See all goat alternatives → · See all JointFPM alternatives →

Recent activity from goat and JointFPM

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

  1. 6mo agogoatplot_network() now hands back the igraph object
  2. 1y agoJointFPMmean_no() promoted to a stable interface
  3. 1y agogoatFix for a reduce_genesets() infinite loop
  4. 1y agogoatGene sets beyond human, and analyses you can reload
  5. 2y agoJointFPMsummary() method and control arguments passed to rstpm2
  6. 2y agogoatFirst public release, now on CRAN
  7. 2y agogoatplot_lollipop() gains barplots and an effect-size axis
  8. 2y agogoatBeta 0.9.5 tagged, with no changes described
  9. 2y agoJointFPMGaussian quadrature option for the mean-events integration
  10. 2y agoJointFPMStandardized marginal estimates plus input validation
  11. 2y agoJointFPMBug fixes for differences between mean-event functions

Frequently asked questions

What is the difference between goat and JointFPM?

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

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

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