← Back to home
Comparison · Analytics

broom.helpers vs hubVis

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

Shared themes:r-package

broom.helpers vs hubVis: at a glance

Featurebroom.helpershubVis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, deprecationforecast-visualization, hubverse, r-package, ggplot2
Last editorial update45m ago45m 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 hubVis?

The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.

hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.

Read the full hubVis trajectory →

broom.helpers vs hubVis: 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.

H
hubVis
ANALYTICS
0.0

The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.

◆ Current state

hubVis is the visualization component of the hubverse stack, centred on plot_step_ahead_model_output() for static and interactive forecast plots. Since the stable 0.1.0 in late 2024 it has shipped three patch releases, every one of them a single referenced issue fix. The plotting surface itself has not grown.

◆ Where it's heading

The pattern across all four releases is narrow and reactive: a legend construction fix, a palette assignment fix, and most recently a compatibility change for ggplot2 4.0.0 written to keep working with earlier versions too. Two of the three fixes concern colour and legend handling, which suggests palette assignment is the fragile part of the codebase. As a thin layer over ggplot2 inside a larger stack, the package's release triggers come from below it rather than from its own roadmap.

◆ Prediction

Expect continued single-issue patches driven by upstream ggplot2 changes and by whatever the sibling hubverse packages emit, rather than new plot types.

Alternatives to broom.helpers and hubVis

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 hubVis.

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

Recent activity from broom.helpers and hubVis

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

  1. 11mo agohubVisCompatibility fix for ggplot2 4.0.0
  2. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  3. 1y agohubVisPalette creation fixed for colour parameters
  4. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  5. 1y agobroom.helpersNew grouping controls for tidied model results
  6. 1y agobroom.helpersMarginal means tidier hard deprecated
  7. 1y agobroom.helpersInstrumental variable support for fixest models
  8. 1y agohubVisLegend built after plot so all traces appear
  9. 1y agohubVisStable release brings group parameter to interactive plots
  10. 1y agobroom.helpersbroom.helpers 1.17.0

Frequently asked questions

What is the difference between broom.helpers and hubVis?

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

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

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