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dggridR vs shapviz

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

dggridR vs shapviz: at a glance

FeaturedggridRshapviz
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdiscrete-global-grids, spatial-indexing, geospatial, hexagonal-gridsshap, visualization, model explainability, ggplot2
Last editorial update54m ago2h ago
WebsiteVisit →Visit →

What is dggridR?

A discrete global grid generator grew cell traversal and became a usable spatial index.

dggridR builds discrete global grids — icosahedral tessellations of the Earth into equal-area hexagonal or triangular cells — by wrapping the DGGRID C++ engine. The 4.1.0 release adds dgneighbors, dgchildren and dgparent for moving between adjacent cells and across resolutions, plus dgpoints_to_cells and dgbin_points for mapping and aggregating point data into cells. New aperture 7 and mixed-aperture ISEA43H grid types arrive alongside them.

Read the full dggridR 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 →

dggridR vs shapviz: editorial side-by-side

D
dggridR
ANALYTICS
0.0

A discrete global grid generator grew cell traversal and became a usable spatial index.

◆ Current state

dggridR builds discrete global grids — icosahedral tessellations of the Earth into equal-area hexagonal or triangular cells — by wrapping the DGGRID C++ engine. The 4.1.0 release adds dgneighbors, dgchildren and dgparent for moving between adjacent cells and across resolutions, plus dgpoints_to_cells and dgbin_points for mapping and aggregating point data into cells. New aperture 7 and mixed-aperture ISEA43H grid types arrive alongside them.

◆ Where it's heading

The package changed hands in effect as well as in code: the 4.0.0 engine update to DGGRID v9.0b and the first real test suite were contributed by Sebastian Krantz, who also maintains the upstream engine fork, and 4.1.0's feature burst followed two weeks later. The direction of that burst is unmistakable — away from generating grids for plotting and toward using them as an indexing structure that point data gets binned into and navigated through.

◆ Prediction

Expect the cell hierarchy functions to extend to non-hexagonal apertures and multi-level traversal, closing the remaining gaps against established global indexing systems.

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 dggridR 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 dggridR or shapviz.

See all dggridR alternatives → · See all shapviz alternatives →

Recent activity from dggridR and shapviz

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

  1. 3mo agodggridRCell neighbors, parents and children make the grid navigable
  2. 3mo agodggridRBundled DGGRID engine updated to v9.0b with a test suite
  3. 3mo agodggridRMaster merged into development ahead of the 4.0 work
  4. 10mo agoshapvizggplot 4.0 compatibility fix
  5. 1y agoshapvizFixes duplicated bars in sv_interaction()
  6. 1y agoshapvizggplot2 and patchwork dependency bumps
  7. 1y agoshapvizShared y-axis control and bar-style interaction plots
  8. 1y agoshapvizH2O random forests gain TreeSHAP support
  9. 1y agoshapvizFixes a broken vignette link

Frequently asked questions

What is the difference between dggridR and shapviz?

They serve adjacent needs but don't currently overlap on shipped themes. dggridR 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 dggridR better than shapviz?

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

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