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duckspatial vs ribd

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

duckspatial vs ribd: at a glance

Featureduckspatialribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr, duckdb, geospatial, lazy evaluationstatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update14m ago2h ago
WebsiteVisit →Visit →

What is duckspatial?

duckspatial rebuilt itself around a lazy DuckDB class, then spent four releases filling in the geometry surface

duckspatial exposes DuckDB's spatial extension to R. In March 2026 it stopped being an sf convenience wrapper: 1.0.0 made duckspatial_df the primary class, a lazy table-like object that stays in DuckDB until explicitly materialized. Every function accepts and returns it by default, with mode = 'sf' as the opt-out. The four releases since have added roughly forty geometry functions on top of that foundation.

Read the full duckspatial trajectory →

What is ribd?

The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.

ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.

Read the full ribd trajectory →

duckspatial vs ribd: editorial side-by-side

D
duckspatial
ANALYTICS
0.0

duckspatial rebuilt itself around a lazy DuckDB class, then spent four releases filling in the geometry surface

◆ Current state

duckspatial exposes DuckDB's spatial extension to R. In March 2026 it stopped being an sf convenience wrapper: 1.0.0 made duckspatial_df the primary class, a lazy table-like object that stays in DuckDB until explicitly materialized. Every function accepts and returns it by default, with mode = 'sf' as the opt-out. The four releases since have added roughly forty geometry functions on top of that foundation.

◆ Where it's heading

The direction is to keep work inside DuckDB and make R the orchestration layer rather than the compute layer. 1.1.0 added macros so duckspatial functions work inside dplyr verbs; 1.1.1 moved the default to DuckDB v1.5.0 native spatial storage so CRS metadata persists in GEOMETRY columns; 1.2.0 added vector-tile output via ddbs_write_mbtiles() and the full family of geometry deserializers. Feature velocity has been high and consistent since the rewrite.

◆ Prediction

The remaining gaps are in PostGIS parity — the deserializers and tile writers landed in 1.2.0, so raster support or spatial indexing are the plausible next targets. 1.2.1 being a single message-capture fix suggests the 1.2.x line is now stabilizing.

R
ribd
ANALYTICS
2.5

The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.

◆ Current state

ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.

◆ Where it's heading

The arc runs from generality to presentation to precision. Early releases replaced narrow functions with general ones, most visibly when gKinship() absorbed generalisedKinship() and identityCoefs() superseded the separate autosomal and X-chromosomal identity functions in favour of an Xchrom argument. The middle stretch turned the IBD triangle into a proper plotting surface across three graphics systems. The current phase reads as consolidation, with the newest release listing six bug fixes against four features, several of them alignment errors in output tables, which is where a coefficient library most needs to be exactly right.

◆ Prediction

The two new internal functions in the latest release, inbreedingContributions() and ancestralKinship(), are the kind of thing that surfaces publicly a release or two later, so expect them to become exported decomposition tools. The correctness push through pedigree lists and edge cases suggests the near-term focus stays on hardening rather than new coefficient families.

Alternatives to duckspatial and ribd

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 duckspatial or ribd.

See all duckspatial alternatives → · See all ribd alternatives →

Recent activity from duckspatial and ribd

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

  1. 12d agoribdCustom relationships on the IBD triangle; six alignment and edge-case fixes
  2. 1mo agoduckspatialCapture install and load output messages
  3. 1mo agoduckspatialVector-tile output, geometry parsers and precision control
  4. 1mo agoduckspatialShortest-line, azimuth, vertex and coordinate-extreme functions
  5. 2mo agoduckspatialNative spatial storage becomes the default connection format
  6. 2mo agoduckspatialduckspatial macros usable inside dplyr verbs
  7. 4mo agoduckspatialduckspatial_df replaces sf as the default class
  8. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  9. 2y agoribdIBD triangle plots gain ggplot2 and plotly backends, plus inset pedigrees
  10. 3y agoribdTriangle line clipping, automatic plot margins, citation info
  11. 3y agoribdTwo-locus functions overhauled; twoLocusInbreeding and ELR added
  12. 4y agoribdIdentity coefficients unified behind identityCoefs() and an Xchrom argument

Frequently asked questions

What is the difference between duckspatial and ribd?

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

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

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

What are the best alternatives to ribd?

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