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collapse vs ravetools

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

collapse vs ravetools: at a glance

Featurecollapseravetools
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-transformation, performance, simd, grouped-statisticsneuroscience, ieeg, 3d-rendering, signal-processing
Last editorial update54m 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 ravetools?

RAVE's signal-processing toolkit taught base R graphics to render lit 3D brain meshes.

ravetools supplies the signal processing and now the rendering primitives behind RAVE, a suite for analyzing intracranial electroencephalography. Its earlier releases built out Matlab-equivalent filtering, Welch spectra and wavelet tooling; 0.2.6 changes register entirely, adding plot_mesh_dotcloud and plot_mesh_polygon to draw 3D surface meshes in base R graphics with no rgl dependency, plus arbitrary clipping planes and per-mesh alpha.

Read the full ravetools trajectory →

collapse vs ravetools: 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
ravetools
ANALYTICS
0.0

RAVE's signal-processing toolkit taught base R graphics to render lit 3D brain meshes.

◆ Current state

ravetools supplies the signal processing and now the rendering primitives behind RAVE, a suite for analyzing intracranial electroencephalography. Its earlier releases built out Matlab-equivalent filtering, Welch spectra and wavelet tooling; 0.2.6 changes register entirely, adding plot_mesh_dotcloud and plot_mesh_polygon to draw 3D surface meshes in base R graphics with no rgl dependency, plus arbitrary clipping planes and per-mesh alpha.

◆ Where it's heading

The package is absorbing the visualization layer that RAVE previously delegated to WebGL-backed renderers, and doing it in a way that works in headless and figure-generating contexts. Exporting ensure_mesh3d to coerce mesh3d, ieegio_surface, fs.surface and surf.asc into one canonical form makes ravetools the convergence point for surface formats across the wider toolchain — the sibling ieegio package shipped its own base R plot method within minutes of this release.

◆ Prediction

Expect the base R renderers to pick up the features rgl users would miss next — richer materials, labeling and camera control — and for more of the RAVE stack to route surface handling through ensure_mesh3d.

Alternatives to collapse and ravetools

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 ravetools.

See all collapse alternatives → · See all ravetools alternatives →

Recent activity from collapse and ravetools

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

  1. 2mo agoravetools3D mesh rendering arrives in base R, without rgl
  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 agocollapsecollap() no longer double-aggregates external weights
  5. 9mo agocollapseCustom unlist() preserves attributes
  6. 0y agocollapseAssorted bug fixes
  7. 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
  8. 1y agoravetoolsravetools 0.2.1
  9. 3y agoravetoolsStimulation interpolation and faster quantiles

Frequently asked questions

What is the difference between collapse and ravetools?

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

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

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