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Comparison · Analytics

cubist vs washdata

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

Shared themes:maintenance

cubist vs washdata: at a glance

Featurecubistwashdata
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, rule-based-models, tidymodels, reproducibilityopen data, wash surveys, data package, maintenance
Last editorial update1h ago45m 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 washdata?

washdata is a fixed survey dataset; eight years of releases have changed only its packaging.

A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.

Read the full washdata trajectory →

cubist vs washdata: 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.

W
washdata
ANALYTICS
0.0

washdata is a fixed survey dataset; eight years of releases have changed only its packaging.

◆ Current state

A data package distributing the Urban Water and Sanitation Survey, on CRAN since January 2018. No release has altered the data. The 2018 pair added survey country, year and aim to DESCRIPTION and fixed a README link; everything since — 2020, 2024 and the January 2026 release — is documentation, formatting, badges, repository refreshes and updates for a new rhub version.

◆ Where it's heading

Nothing is heading anywhere, and for a dataset package that is the point: the value is a citable, unchanging artifact, and the release history exists to keep it installable as R's toolchain moves. The maintenance cadence matches the maintainer's other nutrition packages, which received the same repository-refresh treatment in the same period. Note also that the tags are backfilled out of order — v0.1.0 carries a later stamp than v0.1.2.

◆ Prediction

Expect further releases only when CRAN checks or infrastructure require them; there is no indication the survey data itself will be extended.

Alternatives to cubist and washdata

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 washdata.

See all cubist alternatives → · See all washdata alternatives →

Recent activity from cubist and washdata

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

  1. 5mo agocubiststrip_time_stamps makes fitted models reproducible
  2. 6mo agowashdataRepository and toolchain maintenance
  3. 9mo agocubistCubist 0.5.1
  4. 1y agocubistCubist 0.5.0
  5. 2y agocubistCubist 0.4.4
  6. 2y agowashdataDocumentation and formatting updates
  7. 4y agocubistCubist 0.4.0
  8. 5y agowashdataSecond release: documentation and formatting
  9. 8y agowashdataPre-release of the survey dataset
  10. 8y agowashdataFirst CRAN release of the Urban Water and Sanitation Survey

Frequently asked questions

What is the difference between cubist and washdata?

Both compete on the same themes — maintenance — within Analytics. cubist and washdata 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 washdata?

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

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