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cubist vs nswgeo

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

cubist vs nswgeo: at a glance

Featurecubistnswgeo
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmachine-learning, rule-based-models, tidymodels, reproducibilitygeospatial, australia, public-health, reference-data
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 nswgeo?

NSW boundary data for R, refreshed as the official sources move

nswgeo packages New South Wales geographic boundaries for R — suburbs, postcodes, local government areas, Primary Health Networks and Local Health Districts — as ready-to-plot sf datasets. The 0.6.0 release refreshes nearly all of them against new upstream sources, moving postcodes to 2021 ABS boundaries and taking LHD boundaries from a new official feed. It is maintained by cidm-ph alongside the mapping packages that consume it, including ggmapinset.

Read the full nswgeo trajectory →

cubist vs nswgeo: 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.

N
nswgeo
ANALYTICS
0.0

NSW boundary data for R, refreshed as the official sources move

◆ Current state

nswgeo packages New South Wales geographic boundaries for R — suburbs, postcodes, local government areas, Primary Health Networks and Local Health Districts — as ready-to-plot sf datasets. The 0.6.0 release refreshes nearly all of them against new upstream sources, moving postcodes to 2021 ABS boundaries and taking LHD boundaries from a new official feed. It is maintained by cidm-ph alongside the mapping packages that consume it, including ggmapinset.

◆ Where it's heading

Every release is dictated by an upstream release calendar rather than a roadmap: the 2023 ASGS, then 2024, then the 2021 ABS postcode boundaries and the new LHD source. That makes field-name churn the package's defining hazard — LGA_NAME_2021 to LGA_NAME_2023 to LGA_NAME_2024, and now lhd_name carrying a Local Health District suffix. The maintainer's habit of registering compatibility aliases through cartographer shows an awareness that these renames break downstream code silently.

◆ Prediction

Expect the next release to track the following ASGS edition with another round of field renames, and any new content to stay in the health-geography area the package's users work in.

Alternatives to cubist and nswgeo

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 nswgeo.

See all cubist alternatives → · See all nswgeo alternatives →

Recent activity from cubist and nswgeo

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

  1. 4mo agonswgeoSuburb, postcode, PHN and LHD boundaries all refreshed
  2. 5mo agocubiststrip_time_stamps makes fitted models reproducible
  3. 6mo agonswgeonswgeo 0.5.1
  4. 9mo agocubistCubist 0.5.1
  5. 1y agocubistCubist 0.5.0
  6. 1y agonswgeoUpdated to the 2024 ASGS release
  7. 2y agocubistCubist 0.4.4
  8. 2y agonswgeoTerritories, PHN maps and the outline() helper added
  9. 4y agocubistCubist 0.4.0

Frequently asked questions

What is the difference between cubist and nswgeo?

They serve adjacent needs but don't currently overlap on shipped themes. cubist and nswgeo 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 nswgeo?

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

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