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Comparison · Analytics

mlr3cluster vs patchwork

A side-by-side editorial comparison of mlr3cluster and patchwork — release velocity, themes, recent moves, and the top alternatives to consider.

mlr3cluster vs patchwork: at a glance

Featuremlr3clusterpatchwork
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclustering, mlr3, machine-learning, r-statsggplot2, composition, tables, layout
Last editorial update1h ago46m ago
WebsiteVisit →Visit →

What is mlr3cluster?

mlr3cluster went from a handful of clusterers to covering the field

mlr3cluster supplies clustering learners to the mlr3 framework. Over three releases it added roughly a dozen learners — CLARA, k-prototypes, spectral, then a batch of nine covering finite mixtures, spherical and directional families, self-organising maps, spatio-temporal DBSCAN and robust trimmed clustering. The newest release fixes predict-time behaviour across the hierarchical learners.

Read the full mlr3cluster 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 →

mlr3cluster vs patchwork: editorial side-by-side

M
mlr3cluster
ANALYTICS
0.0

mlr3cluster went from a handful of clusterers to covering the field

◆ Current state

mlr3cluster supplies clustering learners to the mlr3 framework. Over three releases it added roughly a dozen learners — CLARA, k-prototypes, spectral, then a batch of nine covering finite mixtures, spherical and directional families, self-organising maps, spatio-temporal DBSCAN and robust trimmed clustering. The newest release fixes predict-time behaviour across the hierarchical learners.

◆ Where it's heading

The package is at the tail end of a coverage push, and the emphasis has shifted from adding algorithms to making the ones it has behave correctly at prediction time — cutting trees at the current k, reclustering coresets, failing informatively on unsupported metric combinations. That is the normal sequence after a rapid expansion.

◆ Prediction

Expect further predict-path corrections and parameter-set alignment across the newly added learners before any more algorithms arrive.

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 mlr3cluster 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 mlr3cluster or patchwork.

See all mlr3cluster alternatives → · See all patchwork alternatives →

Recent activity from mlr3cluster and patchwork

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

  1. 1mo agomlr3clusterHierarchical learners now honour k at prediction time
  2. 2mo agomlr3clusterNine new clustering learners in one release
  3. 5mo agomlr3clusterCLARA, k-prototypes and spectral clustering learners added
  4. 6mo agomlr3clusterTyped error classes and probabilistic EM assignments
  5. 8mo agomlr3clusterHDBSCAN gains cluster_selection_epsilon
  6. 11mo agopatchworkFix spurious load-time warnings
  7. 1y agopatchworkCompatibility pass for the next ggplot2 release
  8. 1y agomlr3clusterMclust learner brought in line with paradox conventions
  9. 1y agopatchworkgt tables become first-class patchwork objects
  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 mlr3cluster and patchwork?

They serve adjacent needs but don't currently overlap on shipped themes. mlr3cluster 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 mlr3cluster better than patchwork?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3cluster 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 mlr3cluster?

Top mlr3cluster alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3cluster alternatives" section above for the current picks, or visit /alternatives/mlr3cluster 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.