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mlr3mbo vs stacks

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

mlr3mbo vs stacks: at a glance

Featuremlr3mbostacks
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesbayesian-optimization, mlr3, hyperparameter-tuning, r-statstidymodels, ensembling, parallel-processing, future-framework
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

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 →

What is stacks?

Model stacking in tidymodels, quietly migrating off foreach and onto future

stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.

Read the full stacks trajectory →

mlr3mbo vs stacks: editorial side-by-side

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.

S
stacks
ANALYTICS
0.0

Model stacking in tidymodels, quietly migrating off foreach and onto future

◆ Current state

stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.

◆ Where it's heading

The package is mature and its remaining work is compatibility rather than capability — tracking the parallelism story across tidymodels, keeping object sizes sane after butchering and reloading, and staying aligned with recipes deprecations. The augment() method added for vetiver compatibility shows the same instinct: fit into the surrounding ecosystem rather than grow independently of it. Nothing in the visible history suggests new ensembling methods are being pursued.

◆ Prediction

With the future migration finished, the next release is most likely maintenance keeping pace with tune and recipes rather than anything users would notice.

Alternatives to mlr3mbo and stacks

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 mlr3mbo or stacks.

See all mlr3mbo alternatives → · See all stacks alternatives →

Recent activity from mlr3mbo and stacks

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. 10mo agomlr3mbomlr3learners 0.13.0 compatibility
  6. 11mo agomlr3mboMaintainer change and mlr3pipelines 0.9.0 upkeep
  7. 1y agostacksstacks 1.1.1 re-released to clear a CRAN check note
  8. 1y agostacksstacks 1.1.0 completes the move to future-based parallelism
  9. 2y agostacksstacks 1.0.5 fixes butchered stack size inflation
  10. 2y agostacksstacks 1.0.4 introduces future-based parallel processing
  11. 2y agostacksstacks 1.0.3 clears recipes deprecations and a type-check bug
  12. 3y agostacksstacks 1.0.2 adds an augment() method for vetiver compatibility

Frequently asked questions

What is the difference between mlr3mbo and stacks?

They serve adjacent needs but don't currently overlap on shipped themes. 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 mlr3mbo better than stacks?

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 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.

What are the best alternatives to stacks?

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