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A grammar for experimental design that learned to compose designs and track its own provenance.
Alternatives · analytics tools
broom.helpers alternatives
The best broom.helpers alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 16, 2026
Looking for the best alternatives to broom.helpers? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, broom.helpers shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 33m ago
Top 12 alternatives to broom.helpers
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
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Brazil's flight-data package keeps working around what ANAC publishes and when.
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A star-schema modelling package grew a query language, a deployment path, and then a map layer.
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A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
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PACTA's loan-book matcher opened up to sector taxonomies other than its own.
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PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
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An ensemble sampler just admitted its walkers were barely talking to each other.
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Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.
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A segregation-analysis tool that keeps widening which pedigrees it can actually handle.
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UNHCR's chart theme re-based itself on a new house standard, then lost its font pipeline to CRAN attrition.
ANALYTICS
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
broom.helpers vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| broom.helpers (baseline) | 0.0 | 0 | regression-tidyingr-packagegtsummary | broom.helpers 1.17.0 |
| edibble | 0.0 | 0 | experimental-designgrammar-of-designreproducibility | edibble 1.1.0 |
| secuTrialR | 0.0 | 0 | clinical-trialsdata-importcdms | — |
| flightsbr | 0.0 | 0 | open-dataaviationbrazil | — |
| rolap | 0.0 | 0 | olapstar-schemadata-warehousing | rolap 2.4.0 |
| kwb.db | 0.0 | 0 | database-accessodbcresearch-infrastructure | — |
| r2dii.match | 0.0 | 0 | climate-financeentity-matchingpacta | r2dii.match 0.3.0 |
| r2dii.plot | 0.0 | 0 | climate-financedata-visualizationpacta | r2dii.plot 0.4.0 |
| mcmcensemble | 0.0 | 0 | mcmcbayesian-inferenceensemble-sampling | Walker correlation bug fixed, changing results at any seed |
| remora | 0.0 | 0 | acoustic-telemetrymarine-sciencequality-control | remora 0.8-0 |
| segregatr | 0.0 | 0 | statistical-geneticspedigree-analysisvariant-classification | segregatr 0.3.0 |
| unhcrthemes | 0.0 | 0 | data-visualizationggplot2-themebrand-standards | Theme and palettes rebuilt on the 2025 UNHCR guidelines |
| hubVis | 0.0 | 0 | forecast-visualizationhubverser-package | — |
The 12 best broom.helpers alternatives, in depth
1. edibble · velocity 0.0
A grammar for experimental design that learned to compose designs and track its own provenance.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “edibble 1.1.0”.
Where broom.helpers leans on regression tidying, r package and gtsummary, edibble focuses on experimental design, grammar of design and reproducibility.
edibble and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full edibble trajectory → · Compare broom.helpers vs edibble →
2. secuTrialR · velocity 0.0
A Swiss clinical-trial data reader that surfaces once every couple of years to clear check notes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where broom.helpers leans on regression tidying, r package and gtsummary, secuTrialR focuses on clinical trials, data import and cdms.
secuTrialR and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full secuTrialR trajectory → · Compare broom.helpers vs secuTrialR →
3. flightsbr · velocity 0.0
Brazil's flight-data package keeps working around what ANAC publishes and when.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where broom.helpers leans on regression tidying, r package and gtsummary, flightsbr focuses on open data, aviation and brazil.
flightsbr and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full flightsbr trajectory → · Compare broom.helpers vs flightsbr →
4. rolap · velocity 0.0
A star-schema modelling package grew a query language, a deployment path, and then a map layer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “rolap 2.4.0”.
Where broom.helpers leans on regression tidying, r package and gtsummary, rolap focuses on olap, star schema and data warehousing.
rolap and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. kwb.db · velocity 0.0
A water-research lab's ODBC helper, still fighting Windows database drivers a decade in.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where broom.helpers leans on regression tidying, r package and gtsummary, kwb.db focuses on database access, odbc and research infrastructure.
kwb.db and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full kwb.db trajectory → · Compare broom.helpers vs kwb.db →
6. r2dii.match · velocity 0.0
PACTA's loan-book matcher opened up to sector taxonomies other than its own.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “r2dii.match 0.3.0”.
Where broom.helpers leans on regression tidying, r package and gtsummary, r2dii.match focuses on climate finance, entity matching and pacta.
r2dii.match and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r2dii.match trajectory → · Compare broom.helpers vs r2dii.match →
7. r2dii.plot · velocity 0.0
PACTA's climate-alignment charting layer split prep from plotting, then settled into stable.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “r2dii.plot 0.4.0”.
Where broom.helpers leans on regression tidying, r package and gtsummary, r2dii.plot focuses on climate finance, data visualization and pacta.
r2dii.plot and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full r2dii.plot trajectory → · Compare broom.helpers vs r2dii.plot →
8. mcmcensemble · velocity 0.0
An ensemble sampler just admitted its walkers were barely talking to each other.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Walker correlation bug fixed, changing results at any seed”.
Where broom.helpers leans on regression tidying, r package and gtsummary, mcmcensemble focuses on mcmc, bayesian inference and ensemble sampling.
mcmcensemble and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mcmcensemble trajectory → · Compare broom.helpers vs mcmcensemble →
9. remora · velocity 0.0
Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “remora 0.8-0”.
Where broom.helpers leans on regression tidying, r package and gtsummary, remora focuses on acoustic telemetry, marine science and quality control.
remora and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full remora trajectory → · Compare broom.helpers vs remora →
10. segregatr · velocity 0.0
A segregation-analysis tool that keeps widening which pedigrees it can actually handle.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “segregatr 0.3.0”.
Where broom.helpers leans on regression tidying, r package and gtsummary, segregatr focuses on statistical genetics, pedigree analysis and variant classification.
segregatr and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full segregatr trajectory → · Compare broom.helpers vs segregatr →
11. unhcrthemes · velocity 0.0
UNHCR's chart theme re-based itself on a new house standard, then lost its font pipeline to CRAN attrition.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Theme and palettes rebuilt on the 2025 UNHCR guidelines”.
Where broom.helpers leans on regression tidying, r package and gtsummary, unhcrthemes focuses on data visualization, ggplot2 theme and brand standards.
unhcrthemes and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full unhcrthemes trajectory → · Compare broom.helpers vs unhcrthemes →
12. hubVis · velocity 0.0
The hubverse plotting layer spends its releases absorbing upstream churn, not adding charts.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where broom.helpers leans on regression tidying, r package and gtsummary, hubVis focuses on forecast visualization, hubverse and r package.
hubVis and broom.helpers have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full hubVis trajectory → · Compare broom.helpers vs hubVis →
Frequently asked questions
What are the best alternatives to broom.helpers?
The top broom.helpers alternatives we currently track in analytics tools are edibble, secuTrialR, flightsbr, rolap, kwb.db, ranked by recent ship velocity.
How is this list of broom.helpers alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare broom.helpers directly with one of these alternatives?
Yes — every card has a "Compare with broom.helpers" link to a side-by-side /compare page.