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arulesViz vs paletteer

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

Shared themes:ggplot2r-package

arulesViz vs paletteer: at a glance

FeaturearulesVizpaletteer
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesassociation-rules, visualization, ggplot2, maintenance-modedata-visualization, color-palettes, aggregator, r-package
Last editorial update50m ago1h ago
WebsiteVisit →Visit →

What is arulesViz?

arulesViz finished its move to ggplot2 and has been coasting on maintenance since.

arulesViz draws the association rules produced by arules — scatterplots, matrix and grouped-matrix views, rule graphs, and a Shiny explorer. The rendering foundation has been settled since 1.5.0 made ggplot2 the default engine for most plots. The two most recent releases contain no new capability: roxygen migration and deprecation catch-up in 1.5.3, and a partial-argument-match cleanup in 1.5.4 that landed the same week as the identical fix in sibling package seriation.

Read the full arulesViz trajectory →

What is paletteer?

A palette aggregator that grows by absorbing other packages, not by changing shape

paletteer collects colour palettes from across the R ecosystem behind one consistent interface, so users can reference any of them by a single name rather than installing each source package. Its function surface has been essentially fixed for years; what changes each release is the catalogue. Version 1.7.0 pulls in palettes from ButterflyColors, feathers, ggsci, khroma, PrettyCols, tayloRswift, blueycolors, amerika, Rdune and poisonfrogs, and tightens argument checking.

Read the full paletteer trajectory →

arulesViz vs paletteer: editorial side-by-side

A
arulesViz
ANALYTICS
0.0

arulesViz finished its move to ggplot2 and has been coasting on maintenance since.

◆ Current state

arulesViz draws the association rules produced by arules — scatterplots, matrix and grouped-matrix views, rule graphs, and a Shiny explorer. The rendering foundation has been settled since 1.5.0 made ggplot2 the default engine for most plots. The two most recent releases contain no new capability: roxygen migration and deprecation catch-up in 1.5.3, and a partial-argument-match cleanup in 1.5.4 that landed the same week as the identical fix in sibling package seriation.

◆ Where it's heading

The 2021 releases were a deliberate consolidation. 1.4-0 added ggplot2 engines and cut plotly_arules and the experimental iplots support out of the interface; 1.5.0 promoted ggplot2 to default and exposed the conversions to igraph and matrix so users could build their own views; 1.5-1 filled gaps in the graph and grouped-matrix methods. Since then the package tracks its dependencies rather than extending itself, which is a reasonable end state for a mature visualization layer.

◆ Prediction

Expect continued reactive releases keyed to ggplot2 and igraph deprecations, which have driven two of the last three updates. Nothing in these entries suggests new plot methods are planned.

P
paletteer
ANALYTICS
0.0

A palette aggregator that grows by absorbing other packages, not by changing shape

◆ Current state

paletteer collects colour palettes from across the R ecosystem behind one consistent interface, so users can reference any of them by a single name rather than installing each source package. Its function surface has been essentially fixed for years; what changes each release is the catalogue. Version 1.7.0 pulls in palettes from ButterflyColors, feathers, ggsci, khroma, PrettyCols, tayloRswift, blueycolors, amerika, Rdune and poisonfrogs, and tightens argument checking.

◆ Where it's heading

This is a catalogue, and catalogues grow by ingestion. Every substantive release since 1.3.0 is a list of source packages absorbed, in batches of tens to low hundreds of palettes, with occasional maintenance on the metadata tables that describe them. Release cadence follows contributor pull requests rather than any internal roadmap — roughly one release every one to two years, each bundling whatever accumulated.

◆ Prediction

Expect the same: another release when enough new source packages have been proposed, likely paired with further work on palettes_c_names and palettes_d_names, the only part of the package that has been iterated on for its own sake.

Alternatives to arulesViz and paletteer

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 arulesViz or paletteer.

See all arulesViz alternatives → · See all paletteer alternatives →

Recent activity from arulesViz and paletteer

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

  1. 7mo agopaletteerTen more source packages absorbed; argument checking tightened
  2. 11mo agoarulesVizarulesViz 1.5.4: partial argument matches, translucent NA color
  3. 2y agoarulesVizarulesViz 1.5.3 moves docs to roxygen, updates deprecated calls
  4. 2y agopaletteerRoughly 170 palettes added from seven art and design packages
  5. 3y agopaletteerMetBrewer, NatParksPalettes and six more sources added
  6. 4y agopaletteerHTML5-friendly documentation fix
  7. 4y agoarulesVizarulesViz 1.5-1 extends graph and grouped-matrix plots
  8. 5y agopaletteerggprism and nbapalettes added; palette metadata enriched
  9. 5y agoarulesVizarulesViz 1.5.0 makes ggplot2 the default plotting engine
  10. 5y agoarulesVizarulesViz 1.4-0 adds ggplot2 engines, drops plotly_arules and iplots
  11. 5y agopaletteersoilpalettes, rockthemes and Manu palettes added
  12. 7y agoarulesVizarulesViz 1.3-3 cleans up the ruleExplorer interface

Frequently asked questions

What is the difference between arulesViz and paletteer?

Both compete on the same themes — ggplot2, r-package — within Analytics. arulesViz and paletteer 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 arulesViz better than paletteer?

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

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

What are the best alternatives to paletteer?

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