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Comparison · Analytics
broom.helpers vs remora
A side-by-side editorial comparison of broom.helpers and remora — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
broom.helpers vs remora: at a glance
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.
What is remora?
Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.
remora quality-controls acoustic telemetry detections from the IMOS Animal Tracking Facility and joins them to environmental data. Its capability surface settled with the 0.8-0 release, which added Bluelink reanalysis access and an interactive QC plot. Since then the work has been keeping data access fast and correct as the upstream providers change underneath it.
broom.helpers vs remora: editorial side-by-side
broom.helpers
0.0ANALYTICS
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.
remora
0.0ANALYTICS
Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.
◆ Current state
remora quality-controls acoustic telemetry detections from the IMOS Animal Tracking Facility and joins them to environmental data. Its capability surface settled with the 0.8-0 release, which added Bluelink reanalysis access and an interactive QC plot. Since then the work has been keeping data access fast and correct as the upstream providers change underneath it.
◆ Where it's heading
The package's releases are paced by its dependencies rather than by feature ambition. The 2023 release had to survive the retirement of rgeos and rgdal — an ecosystem-wide deadline that forced every R spatial package to rebuild — and used the same release to add real capability. The 2025 release is entirely reactive in a different way, tracking an AODN metadata schema change that split one project-name field into two and swapping in tidync for faster environmental downloads. For a tool bound to a national data facility, schema changes at the source are the main release trigger.
◆ Prediction
Expect the next release to track further IMOS or AODN metadata changes and continue tuning environmental data access, since two consecutive releases have been driven by upstream schema and package retirements rather than new analysis features.
Alternatives to broom.helpers and remora
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 remora.
secuTrialR
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
flightsbr
Brazil's flight-data package keeps working around what ANAC publishes and when.
rolap
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
kwb.db
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
r2dii.match
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
See all broom.helpers alternatives → · See all remora alternatives →
Recent activity from broom.helpers and remora
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
- 1y agoremoraFaster environmental downloads and AODN metadata realignment
- 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
- 1y agobroom.helpersNew grouping controls for tidied model results
- 1y agobroom.helpersMarginal means tidier hard deprecated
- 1y agobroom.helpersInstrumental variable support for fixest models
- 1y agobroom.helpersbroom.helpers 1.17.0 ⚡
- 2y agoremoraremora 0.8-0 ⚡
- 4y agoremoraInitial release of the remora package
Frequently asked questions
What is the difference between broom.helpers and remora?
Both compete on the same themes — r-package — within Analytics. broom.helpers and remora 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 remora?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom.helpers and remora 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 remora?
Top remora alternatives in Analytics are ranked by recent ship velocity. Browse the "remora alternatives" section above for the current picks, or visit /alternatives/remora for the full list with editorial commentary on each.