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oblicubes vs quantities

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

oblicubes vs quantities: at a glance

Featureoblicubesquantities
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, data-viz, grid-graphics, ggplot2units, measurement-uncertainty, error-propagation, r-package
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is oblicubes?

A tiny grid renderer for oblique-projection cubes, complete since its first release.

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

Read the full oblicubes trajectory →

What is quantities?

The glue package that makes R carry units and uncertainty through the same calculation.

quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.

Read the full quantities trajectory →

oblicubes vs quantities: editorial side-by-side

O
oblicubes
ANALYTICS
0.0

A tiny grid renderer for oblique-projection cubes, complete since its first release.

◆ Current state

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

◆ Where it's heading

The package is finished and its maintainer is treating it that way. 1.0.0 removed the R 4.1 native pipe from examples specifically so earlier R versions could use it — reaching backward, not forward — and added image alt text. The only change since is swapping a deprecated dplyr call in examples.

◆ Prediction

Expect nothing beyond occasional dependency deprecation fixes; the release pattern shows a small, deliberately complete package being kept installable.

Q
quantities
ANALYTICS
0.0

The glue package that makes R carry units and uncertainty through the same calculation.

◆ Current state

quantities combines the units and errors packages into one class so values keep both their measurement units and their uncertainty through arithmetic, subsetting and data frame operations. Recent releases have been narrow: fixes to the covariance and correlation implementations, and performance work on the data.frame methods. Most of the release traffic is coordination with its two parent packages.

◆ Where it's heading

The design settled with 0.2.0, which made uncertainty unit-aware and added correlation and covariance support for quantities objects. Since then the package behaves like the integration layer it is — releasing when units, errors, dplyr or ggplot2 shift underneath it rather than on its own schedule. Several releases consist only of test repairs against upstream changes.

◆ Prediction

Expect the next release to follow a units or errors change rather than introduce new behaviour of its own.

Alternatives to oblicubes and quantities

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 oblicubes or quantities.

See all oblicubes alternatives → · See all quantities alternatives →

Recent activity from oblicubes and quantities

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

  1. 6mo agooblicubesExamples updated to dplyr::reframe()
  2. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  3. 1y agoquantitiesFixes covariance and correlation implementations
  4. 2y agoquantitiesFaster data.frame methods
  5. 3y agoquantitiesTest fixes for an upstream units change
  6. 3y agoquantitiesUncertainty becomes unit-aware; adds correlation support
  7. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs
  8. 5y agoquantitiesCompatibility fix for units 0.7-0
  9. 6y agoquantitiesFixes uncertainty propagation for offset unit conversions

Frequently asked questions

What is the difference between oblicubes and quantities?

They serve adjacent needs but don't currently overlap on shipped themes. oblicubes and quantities 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 oblicubes better than quantities?

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

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

What are the best alternatives to quantities?

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