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broom.helpers vs secuTrialR

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

Shared themes:r-package

broom.helpers vs secuTrialR: at a glance

Featurebroom.helperssecuTrialR
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesregression-tidying, r-package, gtsummary, deprecationclinical-trials, data-import, cdms, r-package
Last editorial update45m 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 secuTrialR?

A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.

secuTrialR reads and prepares data exports from the secuTrial clinical data management system for analysis in R. Development is sporadic and maintenance-shaped: the 2025 release bundles six pull requests covering dependency breakage, quote handling in free text fields, a generalised URL builder and CRAN check notes. Its release notes are largely merge messages and submission records rather than descriptions of what changed.

Read the full secuTrialR trajectory →

broom.helpers vs secuTrialR: 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.

S
secuTrialR
ANALYTICS
0.0

A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.

◆ Current state

secuTrialR reads and prepares data exports from the secuTrial clinical data management system for analysis in R. Development is sporadic and maintenance-shaped: the 2025 release bundles six pull requests covering dependency breakage, quote handling in free text fields, a generalised URL builder and CRAN check notes. Its release notes are largely merge messages and submission records rather than descriptions of what changed.

◆ Where it's heading

The visible history has two distinct phases. The 2020 releases are a CRAN review loop — four submissions in two weeks, each note recording only the submission itself. After that the package goes quiet for years at a time, resurfacing when R or its dependencies break something. The one substantive thread is robustness against real-world export data, with the free-text quote fix as the clearest example. The 2025 release's own changelog spans 1.1.1 to 1.3.3, so several intermediate versions exist that this feed never showed.

◆ Prediction

Expect the next release when a dependency or CRAN check forces one, since that has triggered every release since 2020; the notes give no indication of planned feature work.

Alternatives to broom.helpers and secuTrialR

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 secuTrialR.

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

Recent activity from broom.helpers and secuTrialR

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

  1. 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
  2. 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
  3. 1y agosecuTrialRQuote handling in free text and dependency fixes
  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. 3y agosecuTrialRCRAN check notes cleared
  9. 3y agosecuTrialRWarning added for overwritten variables
  10. 6y agosecuTrialRFourth CRAN submission, accepted
  11. 6y agosecuTrialRThird CRAN submission after review
  12. 6y agosecuTrialRSecond CRAN submission after review

Frequently asked questions

What is the difference between broom.helpers and secuTrialR?

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

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

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