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Comparison · Infra & APIs

CptNonPar vs goat

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

CptNonPar vs goat: at a glance

FeatureCptNonPargoat
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeschange-point-detection, nonparametric, defaults, preprocessingbioinformatics, gene-set-analysis, r-package, cran
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is CptNonPar?

Nonparametric change point detection swaps p-values for importance scores.

CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.

Read the full CptNonPar trajectory →

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 →

CptNonPar vs goat: editorial side-by-side

C
CptNonPar
INFRA · APIS
0.0

Nonparametric change point detection swaps p-values for importance scores.

◆ Current state

CptNonPar implements nonparametric MOJO change point detection for possibly multivariate, serially dependent data, through single-lag, multi-lag and multiscale entry points. Recent releases concern how results are reported and how data is preprocessed rather than new detection machinery. The underlying method was accepted at Biometrika during the 0.3.0 cycle.

◆ Where it's heading

The package is tightening the statistical interface it exposes: p-values gave way to importance scores across all three detection functions, manual thresholds became specifiable per lag, and the latest release makes centring and scaling the default preprocessing step. Each change folds a decision the user previously had to make into the package itself.

◆ Prediction

Expect further work on defaults and reporting around the existing MOJO estimators rather than a new detection method.

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.

Alternatives to CptNonPar and goat

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 CptNonPar or goat.

See all CptNonPar alternatives → · See all goat alternatives →

Recent activity from CptNonPar and goat

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

  1. 6mo agogoatplot_network() now hands back the igraph object
  2. 8mo agoCptNonParData centred and scaled by default before detection
  3. 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
  4. 1y agogoatFix for a reduce_genesets() infinite loop
  5. 1y agogoatGene sets beyond human, and analyses you can reload
  6. 2y agogoatFirst public release, now on CRAN
  7. 2y agoCptNonParPaper link updated for CRAN checks
  8. 2y agogoatplot_lollipop() gains barplots and an effect-size axis
  9. 2y agogoatBeta 0.9.5 tagged, with no changes described
  10. 3y agoCptNonParDescription field and example cleanups

Frequently asked questions

What is the difference between CptNonPar and goat?

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

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

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

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.