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collapse vs n1qn1c

A side-by-side editorial comparison of collapse and n1qn1c — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

collapse vs n1qn1c: at a glance

Featurecollapsen1qn1c
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-transformation, performance, simd, grouped-statisticsnumerical-optimization, quasi-newton, thread-safety, memory-safety
Last editorial update1h ago1h 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 n1qn1c?

A Fortran-descended optimizer got thread-safe, then found two flags that never worked.

n1qn1c is a quasi-Newton optimization routine translated from Fortran to C, used as a solver backend by the nlmixr2 modeling stack rather than called directly by most users. Its two 2026 releases are a concentrated safety pass: global state converted to thread_local, static removed from local variables in the translated code, integer overflow guards added, and memory leaks closed in the R callback wrappers — plus the gcc-asan and valgrind fixes CRAN asked for.

Read the full n1qn1c trajectory →

collapse vs n1qn1c: 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.

N
n1qn1c
ANALYTICS
0.0

A Fortran-descended optimizer got thread-safe, then found two flags that never worked.

◆ Current state

n1qn1c is a quasi-Newton optimization routine translated from Fortran to C, used as a solver backend by the nlmixr2 modeling stack rather than called directly by most users. Its two 2026 releases are a concentrated safety pass: global state converted to thread_local, static removed from local variables in the translated code, integer overflow guards added, and memory leaks closed in the R callback wrappers — plus the gcc-asan and valgrind fixes CRAN asked for.

◆ Where it's heading

The package is being hardened for use inside a parallel modeling framework rather than extended. The audit that produced the thread-safety work also surfaced two plain bugs in features users would have assumed worked: restart = TRUE left the mode at 2 instead of 3 because of a typo, and assign = TRUE referenced the wrong field name so the compressed Hessian was never written to the supplied environment. Earlier work points the same direction — the 6.0.1-12 function-pointer interface exists so nlmixr2est does not need resubmission when this package changes.

◆ Prediction

Expect further memory-safety and sanitizer work rather than algorithmic change; a Fortran-translated numerical core under CRAN's checking regime generates that kind of release indefinitely.

Alternatives to collapse and n1qn1c

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 n1qn1c.

See all collapse alternatives → · See all n1qn1c alternatives →

Recent activity from collapse and n1qn1c

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

  1. 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
  2. 4mo agon1qn1crestart and assign flags fixed; sanitizer issues cleared
  3. 4mo agon1qn1cGlobal state converted to thread_local
  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 agon1qn1cFunction-pointer API decouples nlmixr2est releases

Frequently asked questions

What is the difference between collapse and n1qn1c?

Both compete on the same themes — r-package — within Analytics. collapse and n1qn1c 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 n1qn1c?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. collapse and n1qn1c 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 n1qn1c?

Top n1qn1c alternatives in Analytics are ranked by recent ship velocity. Browse the "n1qn1c alternatives" section above for the current picks, or visit /alternatives/n1qn1c for the full list with editorial commentary on each.