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Comparison · Analytics

broom.helpers vs rolap

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

Shared themes:r-package

broom.helpers vs rolap: at a glance

Featurebroom.helpersrolap
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, deprecationolap, star-schema, data-warehousing, spatial-data
Last editorial update44m ago35m ago
WebsiteVisit →Visit →

What is broom.helpers?

The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.

broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.

Read the full broom.helpers trajectory →

What is rolap?

A star-schema modelling package grew a query language, a deployment path, and then a map layer.

rolap builds dimensional models — star databases and constellations — from flat tables inside R. Over 2023 it acquired a multidimensional query interface, the ability to deploy models into relational databases, incremental refresh, and geographic layers exportable as GeoPackage. Since early 2024 it has been quiet, with the only 2025 release removing a test that clashed with another package.

Read the full rolap trajectory →

broom.helpers vs rolap: editorial side-by-side

B
broom.helpers
ANALYTICS
0.0

The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.

◆ Current state

broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.

◆ Where it's heading

Two arcs run in parallel. The first is accretive: each release absorbs another modelling package, which is the natural job of a translation layer and shows no sign of slowing. The second is subtractive and now complete — the dot-prefixed selector functions were deprecated in 1.17.0, hard deprecated in 1.20.0, and removed in 1.22.0, alongside the deprecation of tidy_marginal_means() and tidy_margins() as their upstream packages moved or left CRAN. The package is consolidating on parameters and marginaleffects as its computational backends while shedding machinery that now belongs to gtsummary's ecosystem.

◆ Prediction

The next release will most likely add support for another model class and continue trimming tidiers whose upstream packages have been superseded, following the pattern of the last six.

R
rolap
ANALYTICS
0.0

A star-schema modelling package grew a query language, a deployment path, and then a map layer.

◆ Current state

rolap builds dimensional models — star databases and constellations — from flat tables inside R. Over 2023 it acquired a multidimensional query interface, the ability to deploy models into relational databases, incremental refresh, and geographic layers exportable as GeoPackage. Since early 2024 it has been quiet, with the only 2025 release removing a test that clashed with another package.

◆ Where it's heading

The 2023 releases trace a deliberate progression from modelling to operating: first a common data model and flat table class, then role-playing dimensions, then incremental refresh, then querying and deployment, then geography, then slowly changing dimensions. That is essentially the feature checklist of a data warehouse, assembled in about six months and documented with a vignette at each step. The pace since has dropped to almost nothing, which reads as a project that reached its intended scope rather than one that stalled.

◆ Prediction

Given eighteen months in which the only release was a test removal, the next release is more likely to be maintenance than another warehouse feature — though the entries give no clear signal either way.

Alternatives to broom.helpers and rolap

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 broom.helpers or rolap.

See all broom.helpers alternatives → · See all rolap alternatives →

Recent activity from broom.helpers and rolap

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

  1. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  2. 1y agorolapConflicting test temporarily removed
  3. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  4. 1y agobroom.helpersNew grouping controls for tidied model results
  5. 1y agobroom.helpersMarginal means tidier hard deprecated
  6. 1y agobroom.helpersInstrumental variable support for fixest models
  7. 1y agobroom.helpersbroom.helpers 1.17.0
  8. 2y agorolapSlowly changing dimension structure added
  9. 2y agorolapGeographic layers and GeoPackage export
  10. 2y agorolaprolap 2.4.0
  11. 2y agorolapIncremental refresh for star databases
  12. 2y agorolapFlat table class and a shared data model

Frequently asked questions

What is the difference between broom.helpers and rolap?

Both compete on the same themes — r-package — within Analytics. broom.helpers and rolap 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 broom.helpers better than rolap?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom.helpers and rolap 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 broom.helpers?

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

What are the best alternatives to rolap?

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