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broom vs mlr3viz

A side-by-side editorial comparison of broom and mlr3viz — release velocity, themes, recent moves, and the top alternatives to consider.

broom vs mlr3viz: at a glance

Featurebroommlr3viz
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr, tidy-models, statistics, cran-compliancemlr3, visualization, ggplot2, roc-curves
Last editorial update7h ago1h 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 mlr3viz?

mlr3viz keeps the ecosystem's plots working while the plots themselves move out

mlr3viz supplies autoplot methods across mlr3 objects — learners, resample and benchmark results, tuning instances, ensemble feature-selection results. Recent releases are mostly defensive: suppressing ggplot2::fortify() warnings on ROC and PRC curves, pinning legend order so plots are deterministic across ggplot2 environments, and tracking mlr3 1.7.2. A visible piece of scope also left, with the LearnerSurvCoxPH plot moving to mlr3proba.

Read the full mlr3viz trajectory →

broom vs mlr3viz: 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.

M
mlr3viz
ANALYTICS
2.5

mlr3viz keeps the ecosystem's plots working while the plots themselves move out

◆ Current state

mlr3viz supplies autoplot methods across mlr3 objects — learners, resample and benchmark results, tuning instances, ensemble feature-selection results. Recent releases are mostly defensive: suppressing ggplot2::fortify() warnings on ROC and PRC curves, pinning legend order so plots are deterministic across ggplot2 environments, and tracking mlr3 1.7.2. A visible piece of scope also left, with the LearnerSurvCoxPH plot moving to mlr3proba.

◆ Where it's heading

The package is being narrowed toward generic plotting infrastructure while learner-specific plots migrate to the packages that own those learners. What it does add is access rather than new charts — passing parameters through to precrec::autoplot(), better hints when the wrong autoplot type is requested, and a confidence-interval plot for mlr3inferr. Determinism across ggplot2 versions has become a recurring concern, which is what happens when a visualization package is depended on by documentation and tests.

◆ Prediction

Following the Cox proportional-hazards precedent, further learner-specific plots are likely to move to their owning packages, leaving mlr3viz with the cross-cutting result objects.

Alternatives to broom and mlr3viz

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 mlr3viz.

See all broom alternatives → · See all mlr3viz alternatives →

Recent activity from broom and mlr3viz

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

  1. 18d agomlr3vizmlr3viz 0.11.1 pins legend order for deterministic plots
  2. 3mo agobroombroom 1.0.13 relocates a test fixture to clear an r-devel warning
  3. 3mo agobroombroom 1.0.12 tracks renamed summary() output fields
  4. 5mo agomlr3vizmlr3viz 0.11.0 quiets ggplot2 fortify warnings on ROC curves
  5. 8mo agobroombroom 1.0.11 transfers maintainership to Emil Hvitfeldt
  6. 11mo agobroombroom 1.0.10 clears an r-devel namespacing warning
  7. 1y agobroombroom 1.0.9 requires R 4.1 and repairs epiR compatibility
  8. 1y agomlr3vizmlr3viz 0.10.1 passes plotting parameters through to precrec
  9. 1y agobroombroom 1.0.8 fixes cluster-robust intervals, drops orcutt tidiers
  10. 1y agomlr3vizmlr3viz 0.10.0 adds a LearnerSurvCoxPH plot
  11. 2y agomlr3vizmlr3viz 0.9.0 adds EnsembleFSResult plots
  12. 2y agomlr3vizmlr3viz 0.8.0 tracks paradox 1.0.0

Frequently asked questions

What is the difference between broom and mlr3viz?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3viz is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 better than mlr3viz?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3viz is currently shipping more aggressively (velocity 2.5 vs 0.0), 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?

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 mlr3viz?

Top mlr3viz alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3viz alternatives" section above for the current picks, or visit /alternatives/mlr3viz for the full list with editorial commentary on each.