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Comparison · Analytics

cubist vs ggstats

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

Shared themes:r-package

cubist vs ggstats: at a glance

Featurecubistggstats
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, rule-based-models, tidymodels, reproducibilityggplot2, data-visualization, likert, regression-models
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is cubist?

The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling

Cubist is the R interface to Quinlan's rule-based regression model, wrapping the original C sources behind an R API and feeding the tidymodels rules package. The 0.6.0 release adds a strip_time_stamps control that removes date, time and duration information from model output, and now errors rather than silently misbehaving when a date or date-time column is passed. Error reporting moves from base stop() and warning() to cli.

Read the full cubist trajectory →

What is ggstats?

ggstats keeps widening what a coefficient or Likert plot can be

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

Read the full ggstats trajectory →

cubist vs ggstats: editorial side-by-side

C
cubist
ANALYTICS
0.0

The R port of Quinlan's Cubist gets reproducibility fixes, not new modelling

◆ Current state

Cubist is the R interface to Quinlan's rule-based regression model, wrapping the original C sources behind an R API and feeding the tidymodels rules package. The 0.6.0 release adds a strip_time_stamps control that removes date, time and duration information from model output, and now errors rather than silently misbehaving when a date or date-time column is passed. Error reporting moves from base stop() and warning() to cli.

◆ Where it's heading

The direction is custodial: this is a mature algorithm with a stable definition, so the work is making a decades-old C codebase behave predictably inside a modern R workflow. The reproducibility thread is the clearest one — embedded timestamps mean two identical models compare as different objects, which breaks caching, testing and any workflow that hashes results. Alongside it runs slow C hygiene, from keyword symbol overwrites in 0.5.0 to unused-variable warnings in 0.6.0.

◆ Prediction

Expect continued small maintenance releases tracking CRAN compiler requirements and the needs of the rules package, with no change to the modelling algorithm itself.

G
ggstats
ANALYTICS
0.0

ggstats keeps widening what a coefficient or Likert plot can be

◆ Current state

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

◆ Where it's heading

Two long-running threads. The coefficient side has been consolidating — ggcoef_multinom() and ggcoef_multicomponents() soft-deprecated in favour of a unified ggcoef_model() with group_by, plus new ggcoef_dodged() and ggcoef_faceted() variants. The Likert side keeps expanding outward instead, absorbing survey objects, total columns and side-by-side layouts. Underneath both is a steady tax of ggplot2 and vctrs compatibility work, including tracking the geom_errorbarh() deprecation in ggplot2 4.0.0.

◆ Prediction

Expect gglikert_side() to lose its experimental status once its interface settles, and the deprecated multinomial entry points to be removed in a future release now that ggcoef_model() covers their cases.

Alternatives to cubist and ggstats

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 cubist or ggstats.

See all cubist alternatives → · See all ggstats alternatives →

Recent activity from cubist and ggstats

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

  1. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  2. 5mo agocubiststrip_time_stamps makes fitted models reproducible
  3. 7mo agoggstatsLikert functions accept survey objects
  4. 9mo agocubistCubist 0.5.1
  5. 11mo agoggstatsTable output for ggcoef_compare(); x-axis limits harmonised
  6. 1y agoggstatsggstats 0.10.0
  7. 1y agocubistCubist 0.5.0
  8. 1y agoggstatsCoefficient plots unified around ggcoef_model() with grouping
  9. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added
  10. 2y agocubistCubist 0.4.4
  11. 4y agocubistCubist 0.4.0

Frequently asked questions

What is the difference between cubist and ggstats?

Both compete on the same themes — r-package — within Analytics. cubist and ggstats 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 cubist better than ggstats?

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

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

What are the best alternatives to ggstats?

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