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collapse vs rncl

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

collapse vs rncl: at a glance

Featurecollapserncl
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesdata-transformation, performance, simd, grouped-statisticsphylogenetics, file-parsing, cran-maintenance, c++
Last editorial update1h ago2h 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 rncl?

A phylogenetics parser on life support, shipping only what CRAN's compilers demand.

rncl wraps the Nexus Class Library so R can read Newick and NEXUS tree files. Every release since 2016 has been custodial: 0.8.9 exists solely to pull upstream NCL changes so the bundled C++ compiles under the C++20 standard. No user-facing function has changed in close to a decade.

Read the full rncl trajectory →

collapse vs rncl: 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.

R
rncl
ANALYTICS
2.5

A phylogenetics parser on life support, shipping only what CRAN's compilers demand.

◆ Current state

rncl wraps the Nexus Class Library so R can read Newick and NEXUS tree files. Every release since 2016 has been custodial: 0.8.9 exists solely to pull upstream NCL changes so the bundled C++ compiles under the C++20 standard. No user-facing function has changed in close to a decade.

◆ Where it's heading

The release cadence tracks toolchain deprecations rather than user demand: gcc 12 removing binary_function in 2022, a deprecated Rcpp call in 2025, C++20 in 2026. The package is maintained as a stable parsing dependency for phylogenetics tooling, and the goal visible in these entries is keeping it installable, not extending it.

◆ Prediction

Expect the next release only when a compiler or CRAN policy change breaks the build again; nothing in these entries points to new parsing features.

Alternatives to collapse and rncl

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 rncl.

See all collapse alternatives → · See all rncl alternatives →

Recent activity from collapse and rncl

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

  1. 15d agornclNCL sources refreshed for C++20 compilation
  2. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  3. 7mo agocollapseNegative zero now hashes equal to zero across the package
  4. 8mo agornclDeprecated Rcpp call removed in maintenance release
  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. 4y agornclBuild fixed for gcc 12 and clang 14
  10. 6y agornclMaintenance release clearing CRAN check warnings
  11. 8y agornclCRAN check notes and warnings cleared
  12. 9y agornclSingleton removal moves to C++ for a 3x speedup

Frequently asked questions

What is the difference between collapse and rncl?

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

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

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