rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
broadcast vs collapse
A side-by-side editorial comparison of broadcast and collapse — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
broadcast vs collapse: at a glance
What is broadcast?
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
broadcast brings dimension-broadcasting semantics to R arrays and lists — elementwise operations between arrays of mismatched shape, plus casting methods between hierarchical lists and dimensional structures. It reached CRAN in September 2025 and has released roughly monthly since, accumulating operators (nor, nand, longest common substring), casting methods (cast_shallow2atomic, cast_hier2dim, hiernames2dimnames), and helpers (vector2array, undim, mbroadcasters).
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().
broadcast vs collapse: editorial side-by-side
broadcast
0.0ANALYTICS
broadcast is filling in NumPy-style array broadcasting for R, operator by operator.
◆ Current state
broadcast brings dimension-broadcasting semantics to R arrays and lists — elementwise operations between arrays of mismatched shape, plus casting methods between hierarchical lists and dimensional structures. It reached CRAN in September 2025 and has released roughly monthly since, accumulating operators (nor, nand, longest common substring), casting methods (cast_shallow2atomic, cast_hier2dim, hiernames2dimnames), and helpers (vector2array, undim, mbroadcasters).
◆ Where it's heading
The package is in its post-launch consolidation year, and the release notes read accordingly: roughly half of each entry is a consistency correction rather than an addition. Zero-length results now carry the right type, comparison operators accept integer and logical inputs, the comment attribute survives operations, and the nand operator was found to be wrongly defined against C++ short-circuit evaluation. That ratio is what a young package looks like while its edge cases are being found.
◆ Prediction
Expect more operators and casting methods on the same cadence, with continued type-consistency corrections as users exercise unusual input combinations. Nothing in the entries points at an architectural change.
collapse
0.0ANALYTICS
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 broadcast 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 broadcast or collapse.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all broadcast alternatives → · See all collapse alternatives →
Recent activity from broadcast and collapse
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agobroadcastnor and longest-common-substring operators added; nand corrected
- 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
- 5mo agobroadcastcheckNULL, checkNA and ecumprob added
- 7mo agocollapseNegative zero now hashes equal to zero across the package
- 8mo agobroadcastZero-length results and attribute preservation made consistent
- 8mo agocollapsecollap() no longer double-aggregates external weights
- 9mo agobroadcastacast dimnames bug fixed; casting and helper surface widens
- 9mo agocollapseCustom unlist() preserves attributes
- 10mo agobroadcastrecurse_classed replaced by recurse_all in casting methods
- 11mo agobroadcastTitle case fixed for CRAN submission
- 0y agocollapseAssorted bug fixes
- 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
Frequently asked questions
What is the difference between broadcast and collapse?
Both compete on the same themes — r-package — within Analytics. broadcast and collapse 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 broadcast better than collapse?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broadcast and collapse 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 broadcast?
Top broadcast alternatives in Analytics are ranked by recent ship velocity. Browse the "broadcast alternatives" section above for the current picks, or visit /alternatives/broadcast-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.