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Comparison · Analytics

ggcorrplot vs oblicubes

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

Shared themes:rggplot2

ggcorrplot vs oblicubes: at a glance

Featureggcorrplotoblicubes
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themescorrelation, r, ggplot2, visualizationr, data-viz, grid-graphics, ggplot2
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is ggcorrplot?

ggcorrplot came back after four years and found its significance markers had been lying

ggcorrplot draws correlation matrices in ggplot2 with optional significance marking and hierarchical reordering. It sat untouched from late 2022 until mid-2026, then shipped 0.2.0 and 0.3.0 sixteen days apart. Between them they added the display options users had been requesting since 2016 and repaired a set of bugs where hc.order = TRUE silently changed which cells were marked significant.

Read the full ggcorrplot 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 →

ggcorrplot vs oblicubes: editorial side-by-side

G
ggcorrplot
ANALYTICS
2.5

ggcorrplot came back after four years and found its significance markers had been lying

◆ Current state

ggcorrplot draws correlation matrices in ggplot2 with optional significance marking and hierarchical reordering. It sat untouched from late 2022 until mid-2026, then shipped 0.2.0 and 0.3.0 sixteen days apart. Between them they added the display options users had been requesting since 2016 and repaired a set of bugs where hc.order = TRUE silently changed which cells were marked significant.

◆ Where it's heading

Both releases chase the same target: parity with the older corrplot package inside a ggplot2 object. Significance stars appended to coefficient labels, circle scaling, decimal control, then boxed cells and glyphs sized by absolute correlation — these are corrplot's visual vocabulary reimplemented where they can be composed with other ggplot2 layers. The bug fixes point the other way, at foundations: p-values matched to cells by name rather than row position, clustering computed on the unrounded matrix, tl.col actually applied.

◆ Prediction

With the corrplot look largely reproduced and the correctness backlog cleared, the remaining gap is the mixed upper/lower display corrplot supports; that is the natural next argument if the current release pace holds.

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 ggcorrplot 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 ggcorrplot or oblicubes.

See all ggcorrplot alternatives → · See all oblicubes alternatives →

Recent activity from ggcorrplot and oblicubes

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

  1. 21d agoggcorrplotggcorrplot 0.3.0 adds boxed cells and correlation-sized squares
  2. 1mo agoggcorrplotggcorrplot 0.2.0 fixes significance markers broken by hc.order
  3. 6mo agooblicubesExamples updated to dplyr::reframe()
  4. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  5. 3y agoggcorrplotggcorrplot 0.1.4
  6. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs
  7. 6y agoggcorrplotggcorrplot 0.1.3
  8. 7y agoggcorrplotggcorrplot 0.1.2
  9. 10y agoggcorrplotggcorrplot's first release: correlograms in ggplot2

Frequently asked questions

What is the difference between ggcorrplot and oblicubes?

Both compete on the same themes — r, ggplot2 — within Analytics. ggcorrplot is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ggcorrplot better than oblicubes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggcorrplot is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to ggcorrplot?

Top ggcorrplot alternatives in Analytics are ranked by recent ship velocity. Browse the "ggcorrplot alternatives" section above for the current picks, or visit /alternatives/ggcorrplot 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.