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collapse vs vellum

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

collapse vs vellum: at a glance

Featurecollapsevellum
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesdata-transformation, performance, simd, grouped-statisticsr-graphics, rendering-engine, linting, accessibility
Last editorial update1h ago54m 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 vellum?

vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.

The rendering engine shipped nine releases in the two weeks around the end of July, six of them on a single day. Almost every entry is a correctness fix in a capability that worked when drawn and failed when measured, or worked in isolation and failed in composition. The release notes are unusually forensic: each one states the mechanism, the observable symptom, and why the fix mirrors the draw path rather than reimplementing it.

Read the full vellum trajectory →

collapse vs vellum: 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
vellum
ANALYTICS
5.0

vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.

◆ Current state

The rendering engine shipped nine releases in the two weeks around the end of July, six of them on a single day. Almost every entry is a correctness fix in a capability that worked when drawn and failed when measured, or worked in isolation and failed in composition. The release notes are unusually forensic: each one states the mechanism, the observable symptom, and why the fix mirrors the draw path rather than reimplementing it.

◆ Where it's heading

The pivotal detail is stated outright in 0.6.3 — the first bug in the series found by using the engine from vellumplot rather than testing it in isolation. Every release since names the downstream as the source: the contrast rule's false positives, the lint rules that fired on all five sample plots, the keyed roundrect batch. A rendering engine with a real grammar built on top of it is now getting the integration coverage that unit tests structurally cannot provide, and the fixes are converging on one theme: the measurement path and the draw path must not drift.

◆ Prediction

Expect the release rate to fall as the vellumplot integration surface is exhausted, with remaining work concentrated in the lint rule set now that it is meant to gate builds rather than just inform.

Alternatives to collapse and vellum

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 vellum.

See all collapse alternatives → · See all vellum alternatives →

Recent activity from collapse and vellum

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

  1. 11d agovellumLinter grows to 20 rules and stops firing on every plot
  2. 13d agovellumAnimated SVGs no longer blink once and vanish or play in reverse
  3. 13d agovellumPick table now reports device pixels instead of two coordinate systems
  4. 14d agovellumContrast rule stops flagging every plot; gridlines become PDF artifacts
  5. 14d agovellumgrobwidth and grobheight now measure wrapped text, not the unwrapped line
  6. 14d agovellumKeyed roundrect becomes a real batch after downstream integration exposes it
  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 vellum?

They serve adjacent needs but don't currently overlap on shipped themes. vellum is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 vellum?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. vellum is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 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 vellum?

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