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Comparison · Infra & APIs

CptNonPar vs ggalign

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

CptNonPar vs ggalign: at a glance

FeatureCptNonParggalign
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themeschange-point-detection, nonparametric, defaults, preprocessingggplot2, layout, heatmaps, s7
Last editorial update1h ago1h 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 ggalign?

Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.

ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.

Read the full ggalign trajectory →

CptNonPar vs ggalign: 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
ggalign
INFRA · APIS
0.0

Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.

◆ Current state

ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.

◆ Where it's heading

Two threads run in parallel. One widens what can be aligned, with sector facets, ideograms, image point shapes and observation linking. The other keeps rebuilding the foundation, with the S7 migration, repeated renames toward consistent naming, and the deliberate handing of element_polygon() and element_curve() upstream to ggplot2. The renaming is aggressive enough that each recent release soft-deprecates something.

◆ Prediction

With the internals on S7 and the Patch object exported, the next step is most likely stabilising those names rather than another refactor.

Alternatives to CptNonPar and ggalign

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 ggalign.

See all CptNonPar alternatives → · See all ggalign alternatives →

Recent activity from CptNonPar and ggalign

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

  1. 8mo agoCptNonParData centred and scaled by default before detection
  2. 10mo agoggalignalignpatch internals moved to S7; Patch object exported
  3. 11mo agoggalignInternals migrated to S7; ideogram, tags and image shapes
  4. 1y agoggalignz aesthetic scales and guide collection in borders
  5. 1y agoCptNonParImportance scores replace p-values; per-lag manual thresholds
  6. 1y agoggalignchannelGrob() draws across facets; ggplot2 3.5.2 fix
  7. 1y agoggalignLayout system declared complete; polar facets and coord_circle()
  8. 1y agoggalignLayouts split into discrete and continuous; linking system added
  9. 2y agoCptNonParPaper link updated for CRAN checks
  10. 3y agoCptNonParDescription field and example cleanups

Frequently asked questions

What is the difference between CptNonPar and ggalign?

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

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

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