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Comparison · Analytics

broom.helpers vs kwb.db

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

Shared themes:r-package

broom.helpers vs kwb.db: at a glance

Featurebroom.helperskwb.db
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, deprecationdatabase-access, odbc, research-infrastructure, r-package
Last editorial update45m ago37m 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 kwb.db?

A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.

kwb.db is internal tooling from Kompetenzzentrum Wasser Berlin that wraps ODBC access to MS Access and similar databases for the lab's R workflows. Its functionality covers schema inspection, relation reading and database dumps, with a long-standing preoccupation with the 32-bit versus 64-bit driver split on Windows. The most recent release pins a newer RODBC to fix Windows installation.

Read the full kwb.db trajectory →

broom.helpers vs kwb.db: 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.

K
kwb.db
ANALYTICS
0.0

A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.

◆ Current state

kwb.db is internal tooling from Kompetenzzentrum Wasser Berlin that wraps ODBC access to MS Access and similar databases for the lab's R workflows. Its functionality covers schema inspection, relation reading and database dumps, with a long-standing preoccupation with the 32-bit versus 64-bit driver split on Windows. The most recent release pins a newer RODBC to fix Windows installation.

◆ Where it's heading

The visible history is dominated by driver plumbing rather than features. Early versions added a bridge for calling 32-bit ODBC drivers from a 64-bit R session, then reversed course once 64-bit drivers shipped with MS Office, preferring RODBC directly and falling back only when needed. Later work exposed more of the internals — dumpDatabase, SQL builders, then schema and relation readers — turning a connection helper into something closer to a metadata extractor. The 2025 release is pure survival, and its note candidly records that Ubuntu and macOS installs still fail in CI.

◆ Prediction

Expect the next release to respond to another RODBC or driver breakage rather than to add functionality, given that installation has been the binding problem across the last several releases.

Alternatives to broom.helpers and kwb.db

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 kwb.db.

See all broom.helpers alternatives → · See all kwb.db alternatives →

Recent activity from broom.helpers and kwb.db

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

  1. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  2. 1y agokwb.dbNewer RODBC pinned to fix Windows installation
  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 agokwb.dbSchema and relation readers exported
  9. 2y agokwb.db32-bit ODBC drivers reachable from 64-bit R
  10. 2y agokwb.dbRODBC preferred over the 32-bit bridge
  11. 2y agokwb.dbExtra arguments for schema reading and dumps

Frequently asked questions

What is the difference between broom.helpers and kwb.db?

Both compete on the same themes — r-package — within Analytics. broom.helpers and kwb.db 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 kwb.db?

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

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