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broom.helpers vs haze

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

broom.helpers vs haze: at a glance

Featurebroom.helpershaze
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, model-supportmesh-processing, neuroimaging, interpolation, dependencies
Last editorial update9h ago23h 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 haze?

Mesh interpolation drops its custom fork dependency and sheds weight.

haze does per-vertex smoothing and interpolation on triangular meshes, aimed at mapping neuroimaging surface data between subjects, with k-d tree lookup and interpolation in C++. After three years dormant it has shipped twice in a month: a modernization pass to get through R CMD check, and now the removal of its dependency on a custom Rvcg build. It has never been on CRAN because of package size.

Read the full haze trajectory →

broom.helpers vs haze: 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.

H
haze
ANALYTICS
5.0

Mesh interpolation drops its custom fork dependency and sheds weight.

◆ Current state

haze does per-vertex smoothing and interpolation on triangular meshes, aimed at mapping neuroimaging surface data between subjects, with k-d tree lookup and interpolation in C++. After three years dormant it has shipped twice in a month: a modernization pass to get through R CMD check, and now the removal of its dependency on a custom Rvcg build. It has never been on CRAN because of package size.

◆ Where it's heading

Both recent releases point at the same obstacle. Needing a patched Rvcg meant users could not install from any normal source, and package size is the stated reason CRAN was ruled out at the first release; this release removes the first barrier and starts on the second by deleting unused data files. Nothing has been added to the interpolation surface since 2022.

◆ Prediction

The direction of travel suggests a CRAN attempt once the size problem is solved, though the package has not said so and the earlier note put it ten times over the limit.

Alternatives to broom.helpers and haze

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 haze.

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

Recent activity from broom.helpers and haze

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

  1. 11h agobroom.helpersMulti-state Cox models get an experimental tidier
  2. 1d agohazeVersion 0.4.0 -- Remove dependency on custom Rvcg version
  3. 22d agohazeVersion 0.3.0 -- Fixes and modernization
  4. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  5. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  6. 1y agobroom.helpersNew grouping controls for tidied model results
  7. 1y agobroom.helpersMarginal means tidier hard deprecated
  8. 1y agobroom.helpersInstrumental variable support for fixest models
  9. 4y agohazev0.2.0 -- kdtrees
  10. 4y agohazeInitial release: mesh smoothing and k-d tree interpolation

Frequently asked questions

What is the difference between broom.helpers and haze?

They serve adjacent needs but don't currently overlap on shipped themes. haze is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. 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 haze?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haze is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. 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 haze?

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