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oblicubes vs ravetools

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

Shared themes:3d-rendering

oblicubes vs ravetools: at a glance

Featureoblicubesravetools
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, data-viz, grid-graphics, ggplot2neuroscience, ieeg, 3d-rendering, signal-processing
Last editorial update1h ago5h 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 ravetools?

RAVE's signal-processing toolkit taught base R graphics to render lit 3D brain meshes.

ravetools supplies the signal processing and now the rendering primitives behind RAVE, a suite for analyzing intracranial electroencephalography. Its earlier releases built out Matlab-equivalent filtering, Welch spectra and wavelet tooling; 0.2.6 changes register entirely, adding plot_mesh_dotcloud and plot_mesh_polygon to draw 3D surface meshes in base R graphics with no rgl dependency, plus arbitrary clipping planes and per-mesh alpha.

Read the full ravetools trajectory →

oblicubes vs ravetools: 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.

R
ravetools
ANALYTICS
0.0

RAVE's signal-processing toolkit taught base R graphics to render lit 3D brain meshes.

◆ Current state

ravetools supplies the signal processing and now the rendering primitives behind RAVE, a suite for analyzing intracranial electroencephalography. Its earlier releases built out Matlab-equivalent filtering, Welch spectra and wavelet tooling; 0.2.6 changes register entirely, adding plot_mesh_dotcloud and plot_mesh_polygon to draw 3D surface meshes in base R graphics with no rgl dependency, plus arbitrary clipping planes and per-mesh alpha.

◆ Where it's heading

The package is absorbing the visualization layer that RAVE previously delegated to WebGL-backed renderers, and doing it in a way that works in headless and figure-generating contexts. Exporting ensure_mesh3d to coerce mesh3d, ieegio_surface, fs.surface and surf.asc into one canonical form makes ravetools the convergence point for surface formats across the wider toolchain — the sibling ieegio package shipped its own base R plot method within minutes of this release.

◆ Prediction

Expect the base R renderers to pick up the features rgl users would miss next — richer materials, labeling and camera control — and for more of the RAVE stack to route surface handling through ensure_mesh3d.

Alternatives to oblicubes and ravetools

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 ravetools.

See all oblicubes alternatives → · See all ravetools alternatives →

Recent activity from oblicubes and ravetools

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

  1. 2mo agoravetools3D mesh rendering arrives in base R, without rgl
  2. 6mo agooblicubesExamples updated to dplyr::reframe()
  3. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  4. 1y agoravetoolsravetools 0.2.1
  5. 3y agoravetoolsStimulation interpolation and faster quantiles
  6. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs

Frequently asked questions

What is the difference between oblicubes and ravetools?

Both compete on the same themes — 3d-rendering — within Analytics. oblicubes and ravetools 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 ravetools?

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

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