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bbotk vs mlr3filters

A side-by-side editorial comparison of bbotk and mlr3filters — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:mlr3

bbotk vs mlr3filters: at a glance

Featurebbotkmlr3filters
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesblack-box optimization, mlr3, async execution, api deprecationfeature-selection, mlr3, machine-learning, r-stats
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is bbotk?

bbotk is generalizing from an optimizer toolkit into an evaluation framework.

bbotk is the black-box optimization backend behind mlr3 tuning: search spaces, terminators, archives, and an async layer built on rush. Recent releases pair steady async-API buildout with removal of the deprecated arguments that preceded it. The 1.9.0 release introduced EvalInstance as a base class for OptimInstance, separating evaluating an objective from optimizing one.

Read the full bbotk trajectory →

What is mlr3filters?

mlr3filters grows one feature-selection filter at a time

mlr3filters provides feature-filter methods to mlr3. Its releases follow a consistent shape: one or two new filters, broader feature-type support on existing ones, and error-message work. Boruta and a univariate Cox filter arrived in 0.8.0; 0.9.0 extended Boruta to logical, factor and ordered features and moved param_set to an active binding.

Read the full mlr3filters trajectory →

bbotk vs mlr3filters: editorial side-by-side

B
bbotk
ANALYTICS
2.5

bbotk is generalizing from an optimizer toolkit into an evaluation framework.

◆ Current state

bbotk is the black-box optimization backend behind mlr3 tuning: search spaces, terminators, archives, and an async layer built on rush. Recent releases pair steady async-API buildout with removal of the deprecated arguments that preceded it. The 1.9.0 release introduced EvalInstance as a base class for OptimInstance, separating evaluating an objective from optimizing one.

◆ Where it's heading

Two threads run through the visible history. The first is async optimization maturing: ArchiveAsync gained a full push/finish/fail vocabulary over rush tasks in 1.11.0, and 1.12.0 deleted the deprecated extra arguments it replaced. The second is dependency consolidation, with custom C hypervolume code handed to moocore and rush pinned to 1.0.0, trimming maintenance surface as the async path becomes the default.

◆ Prediction

The deprecation removals in 1.12.0 suggest the async archive API is now treated as settled; the next releases most likely build on EvalInstance rather than continuing to churn ArchiveAsync.

M
mlr3filters
ANALYTICS
0.0

mlr3filters grows one feature-selection filter at a time

◆ Current state

mlr3filters provides feature-filter methods to mlr3. Its releases follow a consistent shape: one or two new filters, broader feature-type support on existing ones, and error-message work. Boruta and a univariate Cox filter arrived in 0.8.0; 0.9.0 extended Boruta to logical, factor and ordered features and moved param_set to an active binding.

◆ Where it's heading

This is incremental infrastructure that tracks mlr3's own conventions — cli printing, prototype-based dictionaries, featureless learners as defaults — while slowly widening which data types each filter accepts. Nothing in the recent history suggests a change of scope.

◆ Prediction

Expect another filter or two plus continued feature-type broadening, keeping pace with mlr3 core conventions.

Alternatives to bbotk and mlr3filters

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 bbotk or mlr3filters.

See all bbotk alternatives → · See all mlr3filters alternatives →

Recent activity from bbotk and mlr3filters

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

  1. 24d agobbotkDeprecated extra argument removed from ArchiveAsync methods
  2. 1mo agobbotkArchiveAsync gains full push/finish/fail task API over rush
  3. 2mo agobbotkDominance and hypervolume computation moved to moocore
  4. 3mo agomlr3filtersFilter dictionary listing now uses prototypes
  5. 4mo agobbotkmlr_test_functions adds standard optimization benchmarks
  6. 5mo agobbotkEvalInstance base class separates evaluation from optimization
  7. 8mo agobbotkFix: conditions now work with OptimizerLocalSearch
  8. 11mo agomlr3filtersBoruta handles logical, factor and ordered features
  9. 2y agomlr3filtersBoruta and univariate Cox filters added
  10. 3y agomlr3filtersMissing-value tagging and wider CarScore feature support
  11. 3y agomlr3filtersMissing-value checks and featureless learner defaults
  12. 3y agomlr3filtersSurvival CAR score filter and pipeline documentation

Frequently asked questions

What is the difference between bbotk and mlr3filters?

Both compete on the same themes — mlr3 — within Analytics. bbotk 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 bbotk better than mlr3filters?

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

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

What are the best alternatives to mlr3filters?

Top mlr3filters alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3filters alternatives" section above for the current picks, or visit /alternatives/mlr3filters for the full list with editorial commentary on each.