randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
A side-by-side editorial comparison of cubist and washdata — release velocity, themes, recent moves, and the top alternatives to consider.
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.
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.
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.
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.
Expect continued small maintenance releases tracking CRAN compiler requirements and the needs of the rules package, with no change to the modelling algorithm itself.
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.
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.
Expect further releases only when CRAN checks or infrastructure require them; there is no indication the survey data itself will be extended.
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.
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
See all cubist alternatives → · See all washdata alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
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.