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broom.helpers vs vecvec

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

Shared themes:r-package

broom.helpers vs vecvec: at a glance

Featurebroom.helpersvecvec
SectorAnalyticsAnalytics
Velocity score2.52.5
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, model-supportr-package, data-structures, s7, vctrs
Last editorial update9h ago22h ago
WebsiteVisit →Visit →

What is broom.helpers?

After eleven quiet months, the tidier under gtsummary is back to absorbing model classes.

broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes read as a running list of newly supported model classes. Version 1.23.0 ends an eleven-month silence — the longest gap in the visible history — with support for multi-state Cox models through an experimental tidy_coxphms(), plus a coefficient-type helper for brmsfit. The selector-removal arc that ran from 1.17.0 through 1.22.0 is finished, leaving the package narrowed to pure translation work.

Read the full broom.helpers trajectory →

What is vecvec?

A lazy vector container keeps closing the gaps where it quietly materialised anyway.

vecvec provides an R class that holds multiple vectors as one logical vector without copying them together, for cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Since then the work has been about whether the abstraction actually saves anything: 1.3.0 makes duplicated(), equality proxies, casting and array formatting compute slot-wise instead of materialising, and adds vecvec_mapply() to apply a function across several vecvecs at once.

Read the full vecvec trajectory →

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

B
broom.helpers
ANALYTICS
2.5

After eleven quiet months, the tidier under gtsummary is back to absorbing model classes.

◆ Current state

broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes read as a running list of newly supported model classes. Version 1.23.0 ends an eleven-month silence — the longest gap in the visible history — with support for multi-state Cox models through an experimental tidy_coxphms(), plus a coefficient-type helper for brmsfit. The selector-removal arc that ran from 1.17.0 through 1.22.0 is finished, leaving the package narrowed to pure translation work.

◆ Where it's heading

The accretive arc is intact but slower than the release list alone suggests: five releases landed between January and September 2025, then nothing until this week. What resumed is the same pattern — one or two model classes per release, shipped as experimental tidiers first (coxphms here, svy_vglm in 1.21.0, vgam in 1.20.0) and hardened later. With the dot-prefixed selectors removed and the marginal-means tidiers deprecated, the package has stopped shedding scope and is back to only adding it. Whether cadence returns to 2025 levels or this is an isolated maintenance release is not readable from these entries.

◆ Prediction

The next release most likely promotes tidy_coxphms() out of experimental status or absorbs another survival-family or Bayesian model class, following the pattern of the last six. The entries give no signal on whether the eleven-month gap was a pause or a new baseline.

V
vecvec
ANALYTICS
2.5

A lazy vector container keeps closing the gaps where it quietly materialised anyway.

◆ Current state

vecvec provides an R class that holds multiple vectors as one logical vector without copying them together, for cases where concatenating would be wasteful. The 1.0.0 rewrite moved the class off vctrs onto S7 while keeping user-facing code working, and added matrix and array behaviour. Since then the work has been about whether the abstraction actually saves anything: 1.3.0 makes duplicated(), equality proxies, casting and array formatting compute slot-wise instead of materialising, and adds vecvec_mapply() to apply a function across several vecvecs at once.

◆ Where it's heading

The arc runs from proving the idea to making it cheap, and 1.3.0 is the widest pass yet at the second half. Early releases established constructors and vctrs dispatch; 1.0.0 rebuilt the internals on S7; the three releases since have worked through the operations that were quietly defeating the point — printing, duplicate detection, casting, equality — and made each compute on storage slots rather than elements. ALTREP detection has moved from parsing .Internal(inspect()) output to a C-level check, the same work on a firmer footing. The other visible thread is a widening apply surface: vec_apply() per vector, now vecvec_mapply() across several.

◆ Prediction

With the main vctrs operations converted to slot-wise computation, the remaining materialisation points are the natural next target; the entries name no specific one, and the internal structure reserved at 1.0.0 still leaves room for the faster special-case representations flagged then.

Alternatives to broom.helpers and vecvec

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 vecvec.

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

Recent activity from broom.helpers and vecvec

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

  1. 11h agobroom.helpersMulti-state Cox models get an experimental tidier
  2. 1d agovecvecBatched mapply arrives; core operations stop materialising
  3. 1mo agovecvecExtension packages can register their own ptype and cast methods
  4. 1mo agovecvecALTREP vectors survive construction and printing intact
  5. 3mo agovecvecThe class is rebuilt on S7, with a new internal representation
  6. 4mo agovecvecMissing value handling fixed for is.na()
  7. 11mo agovecvecArithmetic and per-vector apply arrive
  8. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  9. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  10. 1y agobroom.helpersNew grouping controls for tidied model results
  11. 1y agobroom.helpersMarginal means tidier hard deprecated
  12. 1y agobroom.helpersInstrumental variable support for fixest models

Frequently asked questions

What is the difference between broom.helpers and vecvec?

Both compete on the same themes — r-package — within Analytics. broom.helpers and vecvec are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 vecvec?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom.helpers and vecvec are shipping at a similar cadence (velocity 2.5 vs 2.5, 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 vecvec?

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