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broom vs probably

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

broom vs probably: at a glance

Featurebroomprobably
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, tidy-models, statistics, cran-compliancecalibration, conformal-inference, tidymodels, uncertainty
Last editorial update5h ago47m ago
WebsiteVisit →Visit →

What is broom?

broom's release calendar is now set by CRAN checks, not by new tidiers.

broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.

Read the full broom trajectory →

What is probably?

The package that made calibration a step instead of an afterthought.

probably started as a small utility for class predictions and equivocal zones, and version 1.0.0 turned it into tidymodels' calibration and uncertainty package: cal_plot_*, cal_estimate_*, cal_validate_* and cal_apply across binary, multiclass and regression problems, plus conformal prediction intervals. Since then the work has been consolidation — a large internal refactor with no API change, split conformal and conformal quantile regression, bound_prediction(), and required_pkgs() and butcher methods so conformal objects can be deployed and stripped.

Read the full probably trajectory →

broom vs probably: editorial side-by-side

B
broom
ANALYTICS
0.0

broom's release calendar is now set by CRAN checks, not by new tidiers.

◆ Current state

broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.

◆ Where it's heading

Carrying hundreds of tidier methods for model classes it does not own, broom's workload is dominated by other projects' breaking changes and CRAN's evolving checks. New tidier coverage has largely migrated to the packages that define the models, leaving broom as a compatibility surface.

◆ Prediction

Expect the cadence to stay reactive, with releases triggered by r-devel check failures and upstream API shifts rather than expanded model coverage.

P
probably
ANALYTICS
0.0

The package that made calibration a step instead of an afterthought.

◆ Current state

probably started as a small utility for class predictions and equivocal zones, and version 1.0.0 turned it into tidymodels' calibration and uncertainty package: cal_plot_*, cal_estimate_*, cal_validate_* and cal_apply across binary, multiclass and regression problems, plus conformal prediction intervals. Since then the work has been consolidation — a large internal refactor with no API change, split conformal and conformal quantile regression, bound_prediction(), and required_pkgs() and butcher methods so conformal objects can be deployed and stripped.

◆ Where it's heading

The recent releases are about making these objects survive leaving the session. butcher and required_pkgs() methods are what a model needs to be pinned, containerised and served, and their arrival alongside workflows adding a tailor postprocessing stage and vetiver adding probably support points the same way: calibration is being moved out of analysis scripts and into the deployed pipeline. The cal_*_none() reference implementations are the tell that calibration is now something people tune rather than apply once.

◆ Prediction

Expect the calibration functions to be reachable directly from a tuned workflow's postprocessing stage rather than applied to predictions afterwards, following the tailor integration that workflows just shipped.

Alternatives to broom and probably

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 or probably.

See all broom alternatives → · See all probably alternatives →

Recent activity from broom and probably

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

  1. 3mo agobroombroom 1.0.13 relocates a test fixture to clear an r-devel warning
  2. 3mo agobroombroom 1.0.12 tracks renamed summary() output fields
  3. 8mo agobroombroom 1.0.11 transfers maintainership to Emil Hvitfeldt
  4. 10mo agoprobablyConformal objects gain required_pkgs() and butcher methods
  5. 11mo agobroombroom 1.0.10 clears an r-devel namespacing warning
  6. 1y agoprobablyggplot2 test updates and a clearer validation-set error
  7. 1y agobroombroom 1.0.9 requires R 4.1 and repairs epiR compatibility
  8. 1y agoprobablyCalibration internals refactored; isotonic bootstrap bug fixed
  9. 1y agobroombroom 1.0.8 fixes cluster-robust intervals, drops orcutt tidiers
  10. 2y agoprobablyFix grouping sensitivity to variable type
  11. 3y agoprobablySplit conformal and conformal quantile regression added
  12. 3y agoprobablyCalibration and conformal inference arrive in tidymodels

Frequently asked questions

What is the difference between broom and probably?

They serve adjacent needs but don't currently overlap on shipped themes. broom and probably 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 better than probably?

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

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

What are the best alternatives to probably?

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