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butcher vs mlr3mbo

A side-by-side editorial comparison of butcher and mlr3mbo — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-stats

butcher vs mlr3mbo: at a glance

Featurebutchermlr3mbo
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themestidymodels, model-serialization, memory, r-statsbayesian-optimization, mlr3, hyperparameter-tuning, 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 mlr3mbo?

mlr3mbo picked its defaults from a benchmark study, not from taste

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

Read the full mlr3mbo trajectory →

butcher vs mlr3mbo: 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
mlr3mbo
ANALYTICS
2.5

mlr3mbo picked its defaults from a benchmark study, not from taste

◆ Current state

mlr3mbo does model-based and Bayesian optimisation for mlr3. Its 1.0.0 release added a dictionary of pre-built acquisition-function optimisers and, more consequentially, replaced the default surrogate, acquisition function and optimiser settings with values derived from a large-scale benchmark study. The releases since are corrections to the acquisition-optimiser path exposed by that new default configuration.

◆ Where it's heading

The package has moved from a toolkit that expected users to assemble a Bayesian optimisation loop into one with a defensible default loop, and the recent fixes — warm-start sizing on multi-objective archives, silently discarded terminators, stale x_domain values — are the consequences of more people running the default path.

◆ Prediction

Expect continued hardening of the acquisition-optimiser classes rather than new acquisition functions.

Alternatives to butcher and mlr3mbo

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 mlr3mbo.

See all butcher alternatives → · See all mlr3mbo alternatives →

Recent activity from butcher and mlr3mbo

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

  1. 23d agomlr3mboAcquisition optimiser fixes for warm starts and archives
  2. 3mo agomlr3mboDictionary lookup and restart-limit fixes
  3. 4mo agomlr3mborush 1.0.0 compatibility and Surrogate$check()
  4. 5mo agomlr3mbomlr3mbo 1.0.0 ships benchmark-derived default settings
  5. 8mo agobutcherMethods for rset, tune_results and workflow_set; new maintainer
  6. 10mo agomlr3mbomlr3learners 0.13.0 compatibility
  7. 11mo agomlr3mboMaintainer change and mlr3pipelines 0.9.0 upkeep
  8. 11mo agobutcherkknn methods no longer remove the call
  9. 1y agobutcherComponent existence check fixed; nestedmodels methods removed
  10. 2y agobutcherbutcher 0.3.4
  11. 2y agobutcherMethods for nestedmodels and mgcv::gam; clearer butchering messages
  12. 3y agobutcherEight new model families gain butcher methods

Frequently asked questions

What is the difference between butcher and mlr3mbo?

Both compete on the same themes — r-stats — within Analytics. mlr3mbo 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 butcher better than mlr3mbo?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3mbo 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 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 mlr3mbo?

Top mlr3mbo alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3mbo alternatives" section above for the current picks, or visit /alternatives/mlr3mbo for the full list with editorial commentary on each.