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Comparison · Infra & APIs

ggalign vs robscale

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

ggalign vs robscale: at a glance

Featureggalignrobscale
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, layout, heatmaps, s7robust-statistics, simd, performance, cran
Last editorial update59m ago1d 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 robscale?

A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.

robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.

Read the full robscale trajectory →

ggalign vs robscale: 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.

R
robscale
INFRA · APIS
0.0

A robust-statistics package rewrote its estimators in SIMD C++ and went to CRAN in two weeks.

◆ Current state

robscale computes robust scale and location estimators, and its pitch is speed: 21 to 26 times faster than stats::mad, 37 times faster than stats::IQR on small samples, with comparable margins over robustbase for Qn and Sn. The March 2026 releases took it from a GitHub project to a CRAN package carrying eleven estimators, all with confidence intervals.

◆ Where it's heading

Three releases in a fortnight walk a clear line: expand the public API, submit to CRAN, then tune. The 0.5.4 work is where that tuning shows, and it is unusually specific about hardware, raising sorting-network thresholds after benchmarking and dropping the AVX-512 path entirely in favour of a shorter AVX2-first dispatch chain. The build-fix lists are long, which is what a package fighting compiler and TBB variation across CRAN's platforms looks like.

◆ Prediction

The dispatch hierarchy has been simplified once already; further releases most likely continue narrowing the SIMD surface and hardening the configure step rather than adding estimators. A new estimator would be the surprise.

Alternatives to ggalign and robscale

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 robscale.

See all ggalign alternatives → · See all robscale alternatives →

Recent activity from ggalign and robscale

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

  1. 4mo agorobscaleSIMD median networks land; AVX-512 dispatch is dropped
  2. 4mo agorobscaleCRAN submission ships 11 robust estimators with bootstrap intervals
  3. 5mo agorobscalescale_robust() dispatcher and four new estimators join the public API
  4. 10mo agoggalignalignpatch internals moved to S7; Patch object exported
  5. 11mo agoggalignInternals migrated to S7; ideogram, tags and image shapes
  6. 1y agoggalignz aesthetic scales and guide collection in borders
  7. 1y agoggalignchannelGrob() draws across facets; ggplot2 3.5.2 fix
  8. 1y agoggalignLayout system declared complete; polar facets and coord_circle()
  9. 1y agoggalignLayouts split into discrete and continuous; linking system added

Frequently asked questions

What is the difference between ggalign and robscale?

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

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

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