rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
A side-by-side editorial comparison of collapse and tidyterra — release velocity, themes, recent moves, and the top alternatives to consider.
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().
tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.
tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.
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().
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.
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.
tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.
The package is converging on complete verb coverage rather than branching into new capability. 1.2.0 landed the grouping and nesting family — group_split, group_nest, nest_by, nest, nest_join, group_map, group_modify, reframe, cross_join, complete, expand — which is the last large gap between SpatVector and an ordinary data frame. Its cadence is set externally: releases track ggplot2 and dplyr version transitions, adopting arguments like .by as they stabilize upstream. The maintainer now states AI assistance explicitly for both documentation and generated methods.
With the verb surface close to complete, expect the next releases to track upstream ggplot2 and dplyr changes and to extend coverage to SpatRaster where methods currently exist only for SpatVector.
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 tidyterra.
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all collapse alternatives → · See all tidyterra alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. collapse and tidyterra 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. collapse and tidyterra 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.
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.
Top tidyterra alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyterra alternatives" section above for the current picks, or visit /alternatives/tidyterra for the full list with editorial commentary on each.