← Back to home
Comparison · Analytics

oblicubes vs xts

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

Shared themes:r

oblicubes vs xts: at a glance

Featureoblicubesxts
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, data-viz, grid-graphics, ggplot2r, time-series, finance, c-api
Last editorial update1h 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 xts?

xts is finished software, and its releases now track R's C API more than user requests.

xts is the time-series class underpinning much of R's financial stack, and it behaves like infrastructure: the visible releases are bug fixes, plotting repairs and conformance work. A recurring thread is removing calls R no longer considers public — SET_TYPEOF in 0.14.0 and 0.14.1, then ATTRIB() and SET_ATTRIB() in 0.14.2. Feature additions are rare and small, the last cluster being open-ended time-of-day subsetting and na.fill performance in 0.13.0.

Read the full xts trajectory →

oblicubes vs xts: 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.

X
xts
ANALYTICS
0.0

xts is finished software, and its releases now track R's C API more than user requests.

◆ Current state

xts is the time-series class underpinning much of R's financial stack, and it behaves like infrastructure: the visible releases are bug fixes, plotting repairs and conformance work. A recurring thread is removing calls R no longer considers public — SET_TYPEOF in 0.14.0 and 0.14.1, then ATTRIB() and SET_ATTRIB() in 0.14.2. Feature additions are rare and small, the last cluster being open-ended time-of-day subsetting and na.fill performance in 0.13.0.

◆ Where it's heading

Two forces drive releases. R core keeps narrowing its public C API, and xts keeps rewriting internals to stay inside it; separately, ggplot-era changes elsewhere in the ecosystem surface plotting bugs that get fixed one report at a time. Nearly every entry credits an outside reporter, which is what maintenance of a dependency this widely used looks like.

◆ Prediction

Further C API conformance work is the safest expectation, since two consecutive releases have each removed a different non-API entry point and R has continued tightening that boundary.

Alternatives to oblicubes and xts

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 xts.

See all oblicubes alternatives → · See all xts alternatives →

Recent activity from oblicubes and xts

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

  1. 5mo agoxtsmulti.panel plots beyond 8 columns; SET_TYPEOF removed from C
  2. 5mo agoxtsATTRIB removed from C; rollapply.xts accepts vector widths
  3. 6mo agooblicubesExamples updated to dplyr::reframe()
  4. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  5. 2y agoxtsMulti-panel event lines; first SET_TYPEOF replacement
  6. 2y agoxtstclass changes now alter index values; log-scale y-axis added
  7. 3y agoxtsUpdate path for pre-0.12 objects missing index attributes
  8. 3y agoxtsOpen-ended time-of-day subsetting; fast scalar na.fill
  9. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs

Frequently asked questions

What is the difference between oblicubes and xts?

Both compete on the same themes — r — within Analytics. oblicubes and xts 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 xts?

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

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