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errors vs oblicubes

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

Shared themes:ggplot2

errors vs oblicubes: at a glance

Featureerrorsoblicubes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattingr, data-viz, grid-graphics, ggplot2
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

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 →

errors vs oblicubes: editorial side-by-side

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

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.

Alternatives to errors and oblicubes

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 errors or oblicubes.

See all errors alternatives → · See all oblicubes alternatives →

Recent activity from errors and oblicubes

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

  1. 6mo agooblicubesExamples updated to dplyr::reframe()
  2. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  3. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  4. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  5. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  6. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  7. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  8. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs
  9. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between errors and oblicubes?

Both compete on the same themes — ggplot2 — within Analytics. errors and oblicubes 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 errors better than oblicubes?

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

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

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.