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cubist vs fillpattern

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

Shared themes:r-package

cubist vs fillpattern: at a glance

Featurecubistfillpattern
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, rule-based-models, tidymodels, reproducibilityggplot2, data-visualization, accessibility, graphics
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 fillpattern?

Pattern fills for ggplot2, hardened against the ways users write sizes

fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.

Read the full fillpattern trajectory →

cubist vs fillpattern: 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.

F
fillpattern
ANALYTICS
0.0

Pattern fills for ggplot2, hardened against the ways users write sizes

◆ Current state

fillpattern provides pattern fills — stripes, bricks, dots — for ggplot2 and base R graphics, aimed at figures that must stay legible in greyscale or to colour-blind readers. The 1.0.3 release is mostly defensive: size modifier strings ending in a colon no longer swap width for height, modify_size() reports invalid units instead of crashing and understands in, inches and cm, and a background colour bug in scale_fill_pattern() is fixed. The minimum R version rises to 4.2.0 for recent graphics engine features.

◆ Where it's heading

Development is slow and entirely reactive to how the string-based size interface fails. The pattern across releases is the same: a user hits an edge — very small fill areas in 1.0.2, malformed unit strings in 1.0.3 — and the fix is either a graceful fallback or a clearer error. Leaning on R's newer graphics engine rather than reimplementing pattern rendering keeps the package small at the cost of raising its version floor.

◆ Prediction

Expect further releases to stay in the same register: parsing and validation fixes for the size and unit interface, with the pattern set itself unlikely to change.

Alternatives to cubist and fillpattern

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 fillpattern.

See all cubist alternatives → · See all fillpattern alternatives →

Recent activity from cubist and fillpattern

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

  1. 5mo agocubiststrip_time_stamps makes fitted models reproducible
  2. 6mo agofillpatternSize string parsing fixed; invalid units now report instead of crash
  3. 9mo agocubistCubist 0.5.1
  4. 1y agocubistCubist 0.5.0
  5. 2y agocubistCubist 0.4.4
  6. 2y agofillpatternSmall fill areas no longer crash; min_size falls back to solid
  7. 2y agofillpatternfillpattern 1.0.1
  8. 4y agocubistCubist 0.4.0

Frequently asked questions

What is the difference between cubist and fillpattern?

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

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

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