gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
Comparison · Analytics
collapse vs fairmodels
A side-by-side editorial comparison of collapse and fairmodels — release velocity, themes, recent moves, and the top alternatives to consider.
collapse vs fairmodels: at a glance
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().
What is fairmodels?
fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.
fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.
collapse vs fairmodels: editorial side-by-side
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.
fairmodels
0.0ANALYTICS
fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.
◆ Current state
fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.
◆ Where it's heading
The release history describes a package that reached its intended shape early and has been custodial since — the gap from August 2022 to October 2025 carries no functional change at all. What movement exists is CRAN-driven: documentation compliance, example runtimes, coding-style notes. The fairness metrics themselves have not changed since the parity_loss corrections of 2020.
◆ Prediction
On this cadence the next release is most likely another CRAN-prompted one-liner rather than new fairness metrics; nothing in these entries points to active development.
Alternatives to collapse and fairmodels
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 fairmodels.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
ardlverse
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
weird
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
distributions3
distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
mizer
After two and a half years dormant, mizer shipped three major versions in seven weeks.
See all collapse alternatives → · See all fairmodels alternatives →
Recent activity from collapse and fairmodels
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agocollapseSIMD accumulators give fmean a 7x speedup without OpenMP
- 7mo agocollapseNegative zero now hashes equal to zero across the package
- 8mo agocollapsecollap() no longer double-aggregates external weights
- 9mo agofairmodelsOne-line fix in fairness_heatmap
- 9mo agocollapseCustom unlist() preserves attributes
- 0y agocollapseAssorted bug fixes
- 1y agocollapsena_insert gains by-reference mode; gsplit and pivot speed up
- 3y agofairmodelsCRAN compliance fixes and citation update
- 4y agofairmodelsCRAN v1.2.0
- 5y agofairmodelsCRAN v1.1.0
- 5y agofairmodelsDocumentation fixes and trimmed example runtimes
- 5y agofairmodelsCorrects parity_loss in the cutoff functions
Frequently asked questions
What is the difference between collapse and fairmodels?
They serve adjacent needs but don't currently overlap on shipped themes. collapse and fairmodels 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 fairmodels?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. collapse and fairmodels 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 fairmodels?
Top fairmodels alternatives in Analytics are ranked by recent ship velocity. Browse the "fairmodels alternatives" section above for the current picks, or visit /alternatives/fairmodels for the full list with editorial commentary on each.