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butcher vs mlr3measures

A side-by-side editorial comparison of butcher and mlr3measures — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-stats

butcher vs mlr3measures: at a glance

Featurebutchermlr3measures
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, model-serialization, memory, r-statsmetrics, mlr3, machine-learning, r-stats
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is butcher?

butcher expands from trimming models to trimming whole tidymodels workflows

butcher strips the parts of fitted R model objects that bloat serialized size without being needed for prediction, and it grows one method family at a time. The 0.3.x line piled up coverage for MASS, klaR, mixOmics, ipred, survival and xgboost objects; 0.4.0 changes the target from individual models to resampling and tuning containers, and hands maintenance to Max Kuhn.

Read the full butcher trajectory →

What is mlr3measures?

mlr3measures is systematically retrofitting sample weights across every metric

mlr3measures is the metric library behind mlr3. Recent releases follow two threads: adding measures — linex, pinball, Mu AUC, gmean, gpr, mcc — and retrofitting sample_weights support across the existing ones, reaching AUC and the confusion-matrix family in 1.3.0. Along the way 1.1.0 deprecated four regression measures and corrected the bias definitions.

Read the full mlr3measures trajectory →

butcher vs mlr3measures: editorial side-by-side

B
butcher
ANALYTICS
0.0

butcher expands from trimming models to trimming whole tidymodels workflows

◆ Current state

butcher strips the parts of fitted R model objects that bloat serialized size without being needed for prediction, and it grows one method family at a time. The 0.3.x line piled up coverage for MASS, klaR, mixOmics, ipred, survival and xgboost objects; 0.4.0 changes the target from individual models to resampling and tuning containers, and hands maintenance to Max Kuhn.

◆ Where it's heading

Coverage is following where tidymodels users actually accumulate size — rset, rsplit, tune_results and workflow_set objects are the things that get large in a tuning run, not single fits. The maintainer handoff points the package further into the tidymodels orbit rather than the broad model zoo it started as. Releases are otherwise small and fix-driven.

◆ Prediction

Expect further methods for tidymodels container classes and continued upkeep against xgboost and torch-backed engines; the entries show no move toward automatic size reporting or a different API.

M
mlr3measures
ANALYTICS
0.0

mlr3measures is systematically retrofitting sample weights across every metric

◆ Current state

mlr3measures is the metric library behind mlr3. Recent releases follow two threads: adding measures — linex, pinball, Mu AUC, gmean, gpr, mcc — and retrofitting sample_weights support across the existing ones, reaching AUC and the confusion-matrix family in 1.3.0. Along the way 1.1.0 deprecated four regression measures and corrected the bias definitions.

◆ Where it's heading

The library is maturing rather than growing: weighted evaluation and observation-wise loss functions are being brought to metrics that already existed, which is what downstream weighted-resampling and per-observation analysis need. The deprecations suggest the maintainers are willing to remove measures they consider ill-defined rather than keep them for compatibility.

◆ Prediction

Expect sample_weights and observation-wise variants to reach the remaining measures that lack them.

Alternatives to butcher and mlr3measures

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 butcher or mlr3measures.

See all butcher alternatives → · See all mlr3measures alternatives →

Recent activity from butcher and mlr3measures

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

  1. 3mo agomlr3measuresWeighted AUC and weighted confusion-matrix measures
  2. 8mo agobutcherMethods for rset, tune_results and workflow_set; new maintainer
  3. 8mo agomlr3measuresObservation-wise loss for bbrier and logloss
  4. 11mo agomlr3measuresrse, rsq, rrse and rae deprecated; bias measures corrected
  5. 11mo agobutcherkknn methods no longer remove the call
  6. 1y agobutcherComponent existence check fixed; nestedmodels methods removed
  7. 1y agomlr3measureslinex, pinball and Mu AUC measures added
  8. 2y agomlr3measuresgmean, gpr and multiclass MCC added
  9. 2y agobutcherbutcher 0.3.4
  10. 2y agobutcherMethods for nestedmodels and mgcv::gam; clearer butchering messages
  11. 3y agobutcherEight new model families gain butcher methods
  12. 4y agomlr3measuresObservation-wise loss functions introduced

Frequently asked questions

What is the difference between butcher and mlr3measures?

Both compete on the same themes — r-stats — within Analytics. butcher and mlr3measures 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 butcher better than mlr3measures?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. butcher and mlr3measures 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 butcher?

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

What are the best alternatives to mlr3measures?

Top mlr3measures alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3measures alternatives" section above for the current picks, or visit /alternatives/mlr3measures for the full list with editorial commentary on each.