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collapse vs vellumplot

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

collapse vs vellumplot: at a glance

Featurecollapsevellumplot
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesdata-transformation, performance, simd, grouped-statisticsr-graphics, grammar-of-graphics, accessibility, data-visualization
Last editorial update1h ago48m ago
WebsiteVisit →Visit →

What is collapse?

collapse got a JSS paper and a 7x fmean speedup in the same release.

collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().

Read the full collapse trajectory →

What is vellumplot?

vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.

A new grammar of graphics built on the vellum vector engine, developing fast — ten releases in roughly three weeks — and now at its first tagged release. The distinguishing architectural claim is that the compiled plot is the scene, so a static export and an interactive widget cannot drift apart, and that it renders without a graphics device because vellum measures text itself. Accessibility is treated as a first-class output rather than an afterthought: tagged PDF with a navigable structure tree and alt text, a plot_lint() check, and colour-vision-deficiency simulation at render time.

Read the full vellumplot trajectory →

collapse vs vellumplot: editorial side-by-side

C
collapse
ANALYTICS
0.0

collapse got a JSS paper and a 7x fmean speedup in the same release.

◆ Current state

collapse provides fast grouped statistical computing and data transformation for R, built on a C backend with its own grouping, hashing and aggregation primitives. The 2.1.x line is a maintenance and optimization series: SIMD multiple-accumulator work delivering roughly 2x on fsum() and 7x on fmean() for systems without OpenMP, a custom internal unlist() with better attribute preservation, and a steady stream of correctness fixes in collap(), pivot() and roworderv().

◆ Where it's heading

The package is consolidating institutionally as much as technically. The repository moved to the fastverse organization with multiple people granted access, the Journal of Statistical Software paper landed as the primary citation, and documentation now includes an AI-generated interactive layer. Technically the focus is the hashing and grouping core — the decision to treat -0 and 0 as equal across funique(), group(), fmatch(), fmode() and their derivatives was made in sync with an equivalent change in Rcpp, and accepted a measured 3% cost to get it. The last release with breaking changes sits outside this six-entry window.

◆ Prediction

Expect further targeted performance work on the grouped statistical functions and continued small correctness fixes; the governance move to fastverse suggests contribution volume rather than direction is what the maintainer is managing.

V
vellumplot
ANALYTICS
6.3

vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.

◆ Current state

A new grammar of graphics built on the vellum vector engine, developing fast — ten releases in roughly three weeks — and now at its first tagged release. The distinguishing architectural claim is that the compiled plot is the scene, so a static export and an interactive widget cannot drift apart, and that it renders without a graphics device because vellum measures text itself. Accessibility is treated as a first-class output rather than an afterthought: tagged PDF with a navigable structure tree and alt text, a plot_lint() check, and colour-vision-deficiency simulation at render time.

◆ Where it's heading

The release sequence shows a grammar filling in ggplot2-parity features and specialist marks in parallel. Parity work landed as secondary axes, rich legend titles, and Sankey styling; the specialist end added categorical datashading, image marks, flow maps and edge bundling for dense graphs. Version 0.7.0 shows a willingness to break early — vsunburst() was removed outright in favour of one vhierarchy() constructor covering sunburst, icicle, treemap and circlepack — which is the right time to do it and suggests the API is still being consolidated toward fewer, more general constructors.

◆ Prediction

Expect more consolidation of near-duplicate constructors under type arguments and continued expansion of the declarative interactivity introduced in 0.7.0, now that the first tagged release has fixed a public API surface.

Alternatives to collapse and vellumplot

Other Analytics 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 collapse or vellumplot.

See all collapse alternatives → · See all vellumplot alternatives →

Recent activity from collapse and vellumplot

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

  1. 14d agovellumplotFirst tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget
  2. 19d agovellumplotFlow maps and edge bundling for dense graph plots
  3. 24d agovellumplotvhierarchy() replaces vsunburst(); declarative interactivity arrives
  4. 26d agovellumplotSankey crossing minimisation and per-branch sunburst colouring
  5. 29d agovellumplotSecondary axes land; rich legend titles stop clipping
  6. 1mo agovellumplotCategorical datashading in one call, plus image marks at data points
  7. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  8. 7mo agocollapseNegative zero now hashes equal to zero across the package
  9. 8mo agocollapsecollap() no longer double-aggregates external weights
  10. 9mo agocollapseCustom unlist() preserves attributes
  11. 0y agocollapseAssorted bug fixes
  12. 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up

Frequently asked questions

What is the difference between collapse and vellumplot?

They serve adjacent needs but don't currently overlap on shipped themes. vellumplot is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is collapse better than vellumplot?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. vellumplot is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to collapse?

Top collapse alternatives in Analytics are ranked by recent ship velocity. Browse the "collapse alternatives" section above for the current picks, or visit /alternatives/collapse-r for the full list with editorial commentary on each.

What are the best alternatives to vellumplot?

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