mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
butcher vs desirability2
A side-by-side editorial comparison of butcher and desirability2 — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:tidymodels
butcher vs desirability2: at a glance
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.
What is desirability2?
desirability2 is making multi-metric model selection a first-class tidymodels step.
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
butcher vs desirability2: editorial side-by-side
butcher
0.0ANALYTICS
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.
desirability2
0.0ANALYTICS
desirability2 is making multi-metric model selection a first-class tidymodels step.
◆ Current state
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
◆ Where it's heading
The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.
◆ Prediction
The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.
Alternatives to butcher and desirability2
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 desirability2.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all butcher alternatives → · See all desirability2 alternatives →
Recent activity from butcher and desirability2
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agobutcherMethods for rset, tune_results and workflow_set; new maintainer
- 11mo agodesirability2make_desirability_cols() exported; data-driven limits on by default
- 11mo agobutcherkknn methods no longer remove the call
- 1y agodesirability2Desirability-based model selection added for tune ⚡
- 1y agobutcherComponent existence check fixed; nestedmodels methods removed
- 2y agobutcherbutcher 0.3.4
- 2y agobutcherMethods for nestedmodels and mgcv::gam; clearer butchering messages
- 3y agodesirability2NEWS.md added to track package changes
- 3y agobutcherEight new model families gain butcher methods
Frequently asked questions
What is the difference between butcher and desirability2?
Both compete on the same themes — tidymodels — within Analytics. butcher and desirability2 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 desirability2?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. butcher and desirability2 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 desirability2?
Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 for the full list with editorial commentary on each.