← Back to home
Comparison · Analytics

dggridR vs fairmodels

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

dggridR vs fairmodels: at a glance

FeaturedggridRfairmodels
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdiscrete-global-grids, spatial-indexing, geospatial, hexagonal-gridsfairness auditing, bias detection, dalex, r package
Last editorial update1h ago3h 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 fairmodels?

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

Read the full fairmodels trajectory →

dggridR vs fairmodels: 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.

F
fairmodels
ANALYTICS
0.0

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

◆ Current state

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

◆ Where it's heading

The release history describes a package that reached its intended shape early and has been custodial since — the gap from August 2022 to October 2025 carries no functional change at all. What movement exists is CRAN-driven: documentation compliance, example runtimes, coding-style notes. The fairness metrics themselves have not changed since the parity_loss corrections of 2020.

◆ Prediction

On this cadence the next release is most likely another CRAN-prompted one-liner rather than new fairness metrics; nothing in these entries points to active development.

Alternatives to dggridR and fairmodels

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 fairmodels.

See all dggridR alternatives → · See all fairmodels alternatives →

Recent activity from dggridR and fairmodels

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. 9mo agofairmodelsOne-line fix in fairness_heatmap
  5. 3y agofairmodelsCRAN compliance fixes and citation update
  6. 4y agofairmodelsCRAN v1.2.0
  7. 5y agofairmodelsCRAN v1.1.0
  8. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  9. 5y agofairmodelsCorrects parity_loss in the cutoff functions

Frequently asked questions

What is the difference between dggridR and fairmodels?

They serve adjacent needs but don't currently overlap on shipped themes. dggridR and fairmodels 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 fairmodels?

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

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