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APCalign vs collapse

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

APCalign vs collapse: at a glance

FeatureAPCaligncollapse
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themestaxonomy, r, australian flora, biodiversitydata-transformation, performance, simd, grouped-statistics
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is APCalign?

APCalign spent this year fixing the counts it had been quietly getting wrong

APCalign standardises Australian plant names against the APC and APNI taxonomic resources and derives state-level native/introduced status from them. The feed is GitHub releases tagged by resource download date rather than semantic version, so titles carry no information about content. The two 2026 releases are the only substantive ones in the window: infrataxa support in the diversity functions, then a fix for a grep that had been matching the wrong columns.

Read the full APCalign trajectory →

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 →

APCalign vs collapse: editorial side-by-side

A
APCalign
ANALYTICS
2.5

APCalign spent this year fixing the counts it had been quietly getting wrong

◆ Current state

APCalign standardises Australian plant names against the APC and APNI taxonomic resources and derives state-level native/introduced status from them. The feed is GitHub releases tagged by resource download date rather than semantic version, so titles carry no information about content. The two 2026 releases are the only substantive ones in the window: infrataxa support in the diversity functions, then a fix for a grep that had been matching the wrong columns.

◆ Where it's heading

Development is driven by users reporting that outputs do not match what they expect, and the fixes keep landing in the same two functions — create_species_state_origin_matrix() and native_anywhere_in_australia(). The infrataxa parameter and the reordered output columns came from user requests; the guard-ordering and grep fixes came from a filed issue. What is emerging is that the origin-matrix logic was written loosely and is now being tightened case by case, with tests and state diversity benchmarks added alongside.

◆ Prediction

Both recent releases touched the same pair of functions and the fixes were found by inspection rather than by tests failing, so more corrections in the native-status path are the likely next content — the benchmarks added in March are the mechanism that would surface them.

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.

Alternatives to APCalign and collapse

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 APCalign or collapse.

See all APCalign alternatives → · See all collapse alternatives →

Recent activity from APCalign and collapse

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

  1. 16d agoAPCalignAPCalign fixes a grep that scanned taxon names for native status
  2. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  3. 4mo agoAPCalignAPCalign adds infrataxa to the state origin and diversity functions
  4. 7mo agocollapseNegative zero now hashes equal to zero across the package
  5. 8mo agocollapsecollap() no longer double-aggregates external weights
  6. 9mo agocollapseCustom unlist() preserves attributes
  7. 0y agocollapseAssorted bug fixes
  8. 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
  9. 1y agoAPCalignTaxonomic resource snapshot from APC and APNI
  10. 1y agoAPCalignRelease tags switch to APC download date
  11. 1y agoAPCalignFix for the quiet option

Frequently asked questions

What is the difference between APCalign and collapse?

They serve adjacent needs but don't currently overlap on shipped themes. APCalign is currently shipping more aggressively (velocity 2.5 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 APCalign better than collapse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. APCalign is currently shipping more aggressively (velocity 2.5 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 APCalign?

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

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.