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oblicubes vs shapviz

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

Shared themes:ggplot2

oblicubes vs shapviz: at a glance

Featureoblicubesshapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, data-viz, grid-graphics, ggplot2shap, visualization, model explainability, ggplot2
Last editorial update1h ago7h 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 shapviz?

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

Read the full shapviz trajectory →

oblicubes vs shapviz: 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.

S
shapviz
ANALYTICS
0.0

shapviz refines its SHAP plots release by release while chasing ggplot2's moving target.

◆ Current state

shapviz turns SHAP values from XGBoost, LightGBM, H2O, kernelshap and other sources into standard diagnostic plots — importance, dependence, waterfall, force and interaction. Recent work is plot ergonomics: shared y-axis control across dependence plots, a bar view for interaction values, and axis collection via patchwork. The two most recent releases are pure compatibility and bug fixes.

◆ Where it's heading

Two threads run in parallel here. One is visual refinement converging on conventions from Python's shap — the 0.10.0 notes openly float switching share_y to TRUE to match it. The other is connector maintenance, keeping pace with H2O, XGBoost 1.x and 2.x, shapr and permshap as each changes. Neither thread adds new explanation methods; shapviz's job is presentation, and it is being polished rather than extended.

◆ Prediction

Expect share_y = TRUE to become the default and further ggplot2 4.x fallout, with connector updates arriving as the upstream SHAP packages release.

Alternatives to oblicubes and shapviz

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 shapviz.

See all oblicubes alternatives → · See all shapviz alternatives →

Recent activity from oblicubes and shapviz

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

  1. 6mo agooblicubesExamples updated to dplyr::reframe()
  2. 10mo agoshapvizggplot 4.0 compatibility fix
  3. 1y agoshapvizFixes duplicated bars in sv_interaction()
  4. 1y agoshapvizggplot2 and patchwork dependency bumps
  5. 1y agoshapvizShared y-axis control and bar-style interaction plots
  6. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  7. 1y agoshapvizH2O random forests gain TreeSHAP support
  8. 1y agoshapvizFixes a broken vignette link
  9. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs

Frequently asked questions

What is the difference between oblicubes and shapviz?

Both compete on the same themes — ggplot2 — within Analytics. oblicubes and shapviz 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 shapviz?

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

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