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Comparison · Infra & APIs

ggalign vs samplr

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

ggalign vs samplr: at a glance

Featureggalignsamplr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, layout, heatmaps, s7cognitive-science, sampling-algorithms, mcmc, dormant
Last editorial update48m ago2h ago
WebsiteVisit →Visit →

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 →

What is samplr?

A cognitive-science sampling package ships once, then goes quiet for eighteen months

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

Read the full samplr trajectory →

ggalign vs samplr: editorial side-by-side

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.

S
samplr
INFRA · APIS
0.0

A cognitive-science sampling package ships once, then goes quiet for eighteen months

◆ Current state

samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.

◆ Where it's heading

The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.

◆ Prediction

Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.

Alternatives to ggalign and samplr

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 ggalign or samplr.

See all ggalign alternatives → · See all samplr alternatives →

Recent activity from ggalign and samplr

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

  1. 5mo agosamplrMean_Variance() row count corrected after eighteen months
  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 agoggalignchannelGrob() draws across facets; ggplot2 3.5.2 fix
  6. 1y agoggalignLayout system declared complete; polar facets and coord_circle()
  7. 1y agoggalignLayouts split into discrete and continuous; linking system added
  8. 1y agosamplrFloating point comparison fix
  9. 1y agosamplrsamplr 1.0.0

Frequently asked questions

What is the difference between ggalign and samplr?

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

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

What are the best alternatives to samplr?

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