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collapse vs units

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

collapse vs units: at a glance

Featurecollapseunits
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-transformation, performance, simd, grouped-statisticsmeasurement units, r package, udunits2, breaking parser change
Last editorial update1h ago4h 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 units?

units reaches 1.0 by rewriting its parser and accepting the breakage that comes with it.

units attaches physical units to R vectors on top of the udunits2 library, covering arithmetic, conversion and ggplot2 scales. Version 1.0-0 replaced the unit-expression tokenizer so numbers are consistently treated as prefixes, and expressions like ml/min/1.73m^2 now parse the way physiologists write them. Printing follows NIST conventions, and 1.0-1 is a fix pass over memory handling and parser edge cases.

Read the full units trajectory →

collapse vs units: 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.

U
units
ANALYTICS
0.0

units reaches 1.0 by rewriting its parser and accepting the breakage that comes with it.

◆ Current state

units attaches physical units to R vectors on top of the udunits2 library, covering arithmetic, conversion and ggplot2 scales. Version 1.0-0 replaced the unit-expression tokenizer so numbers are consistently treated as prefixes, and expressions like ml/min/1.73m^2 now parse the way physiologists write them. Printing follows NIST conventions, and 1.0-1 is a fix pass over memory handling and parser edge cases.

◆ Where it's heading

The long 0.8-x run was accretion — ggplot2 scales absorbed from ggforce, ud_convert(), matrix methods, steady performance work — while known parsing defects stayed in place. The 1.0 release finally traded backwards compatibility for correct parsing, and 1.0-1's pointer-wrapping and exception-propagation work suggests the C++ glue is being hardened behind it. Fixes cluster at the udunits2 boundary, which remains the main source of surprises.

◆ Prediction

Expect continued patch releases against udunits2 quirks and the new tokenizer's fallout rather than new surface area, with the ggplot2 integration and conversion helpers already in place.

Alternatives to collapse and units

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 units.

See all collapse alternatives → · See all units alternatives →

Recent activity from collapse and units

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

  1. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  2. 5mo agounitsMemory-leak and udunits2 parsing fixes after 1.0
  3. 7mo agocollapseNegative zero now hashes equal to zero across the package
  4. 8mo agocollapsecollap() no longer double-aggregates external weights
  5. 9mo agocollapseCustom unlist() preserves attributes
  6. 10mo agounitsNew tokenizer parses compound units correctly
  7. 0y agocollapseAssorted bug fixes
  8. 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
  9. 1y agounitsCopy semantics fix in ud_convert(); C++17 for old R
  10. 1y agounitscbind/rbind methods, ud_convert() and broad fixes
  11. 1y agounitsSilences a CRAN compiler warning
  12. 2y agounitsRestores simplify=FALSE for identical units

Frequently asked questions

What is the difference between collapse and units?

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

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

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