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mlr3fselect vs patchwork

A side-by-side editorial comparison of mlr3fselect and patchwork — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3fselect vs patchwork: at a glance

Featuremlr3fselectpatchwork
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfeature-selection, mlr3, machine-learning, r-statsggplot2, composition, tables, layout
Last editorial update1h ago45m ago
WebsiteVisit →Visit →

What is mlr3fselect?

mlr3fselect turned feature selection into an asynchronous, distributable job

mlr3fselect runs feature selection for mlr3. The defining change in this window is 1.4.0, which introduced FSelectorAsync and the asynchronous instance classes, letting searches run without a synchronous batch loop. Around it sit ensemble feature selection work — fastVoteR ranking, embedded ensemble selection, result combination — and performance work on objective evaluation.

Read the full mlr3fselect trajectory →

What is patchwork?

patchwork stopped being a ggplot composer and became a page composer.

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

Read the full patchwork trajectory →

mlr3fselect vs patchwork: editorial side-by-side

M
mlr3fselect
ANALYTICS
0.0

mlr3fselect turned feature selection into an asynchronous, distributable job

◆ Current state

mlr3fselect runs feature selection for mlr3. The defining change in this window is 1.4.0, which introduced FSelectorAsync and the asynchronous instance classes, letting searches run without a synchronous batch loop. Around it sit ensemble feature selection work — fastVoteR ranking, embedded ensemble selection, result combination — and performance work on objective evaluation.

◆ Where it's heading

Two threads run in parallel: scaling the search itself through async execution and the rush backend, and making ensemble selection results easier to analyse via Pareto fronts, knee points and now removal of empty result rows. The rush backward-compatibility shim was dropped in 1.6.0, so the async path is now the assumed one.

◆ Prediction

Expect the ensemble result API to keep gaining analysis helpers, with async execution treated as the default rather than an option.

P
patchwork
ANALYTICS
0.0

patchwork stopped being a ggplot composer and became a page composer.

◆ Current state

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

◆ Where it's heading

The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.

◆ Prediction

Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.

Alternatives to mlr3fselect and patchwork

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 mlr3fselect or patchwork.

See all mlr3fselect alternatives → · See all patchwork alternatives →

Recent activity from mlr3fselect and patchwork

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

  1. 2mo agomlr3fselectEmpty-selection rows removable from ensemble results
  2. 8mo agomlr3fselectFaster objective evaluation and always_included roles
  3. 11mo agopatchworkFix spurious load-time warnings
  4. 1y agomlr3fselectAsynchronous feature selection arrives with FSelectorAsync
  5. 1y agopatchworkCompatibility pass for the next ggplot2 release
  6. 1y agomlr3fselectEmbedded ensemble selection and result combination
  7. 1y agomlr3fselectInternal tuning callback added
  8. 1y agopatchworkgt tables become first-class patchwork objects
  9. 1y agomlr3fselectmlr3 0.21.0 compatibility and archive slimming
  10. 2y agopatchworkAxis collection and free() arrive
  11. 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
  12. 3y agopatchworkClearer error when plotting space is too small

Frequently asked questions

What is the difference between mlr3fselect and patchwork?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3fselect and patchwork 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 mlr3fselect better than patchwork?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3fselect and patchwork 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 mlr3fselect?

Top mlr3fselect alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3fselect alternatives" section above for the current picks, or visit /alternatives/mlr3fselect for the full list with editorial commentary on each.

What are the best alternatives to patchwork?

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