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duckspatial vs KLINK

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

duckspatial vs KLINK: at a glance

FeatureduckspatialKLINK
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr, duckdb, geospatial, lazy evaluationforensic-genetics, kinship-testing, str-markers, shiny
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 KLINK?

Forensic kinship testing with linked STR markers, now peer-reviewed and taking data from anywhere.

KLINK is a Shiny application and R package for kinship testing that accounts for linkage between STR markers, rather than treating all markers as independent. The built-in genetic map covers 50 common STR markers, pairs them dynamically after data loads, and lets the user set the maximum distance at which a pair counts as linked. Custom marker maps can now arrive as Excel files including KLINK's own download files, and a paper describing the tool was published in FSI:Genetics in 2026.

Read the full KLINK trajectory →

duckspatial vs KLINK: 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.

K
KLINK
ANALYTICS
2.5

Forensic kinship testing with linked STR markers, now peer-reviewed and taking data from anywhere.

◆ Current state

KLINK is a Shiny application and R package for kinship testing that accounts for linkage between STR markers, rather than treating all markers as independent. The built-in genetic map covers 50 common STR markers, pairs them dynamically after data loads, and lets the user set the maximum distance at which a pair counts as linked. Custom marker maps can now arrive as Excel files including KLINK's own download files, and a paper describing the tool was published in FSI:Genetics in 2026.

◆ Where it's heading

The direction is from fixed panel toward general instrument. Hard-coded linkage pairs gave way to dynamic pairing, the built-in map grew from 18 to 50 markers, the map itself was then moved out to the norSTR package, and the app now accepts custom maps in several file formats and decimal conventions. Method capability tracks the upstream pedsuite rather than KLINK itself: special lumping in pedprobr and pedmut is what allowed complex mutation models in common pedigrees, and the newest release pins pedtools 2.11.0 and pedprobr 1.1.0 for faster likelihoods and better handling of looped pedigrees. Much of the remaining work is unglamorous casework ergonomics, replacing stray Norwegian text in Excel output, controlling table heights, fixing karyogram colours.

◆ Prediction

With the map externalised and custom maps loading from multiple formats, the likeliest next step is broader marker-panel coverage through norSTR rather than changes in KLINK itself. Method gains should continue to arrive as pedprobr and pedmut version bumps.

Alternatives to duckspatial and KLINK

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 KLINK.

See all duckspatial alternatives → · See all KLINK alternatives →

Recent activity from duckspatial and KLINK

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

  1. 12d agoKLINKExcel marker maps, more robust map loading, and a published paper
  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. 3mo agoKLINKIn-app help pages, a mutation-model setting, and clearer controls
  8. 4mo agoduckspatialduckspatial_df replaces sf as the default class
  9. 1y agoKLINKComplex mutation models become usable via upstream special lumping
  10. 1y agoKLINKDownload fix for XML initials containing hyphens
  11. 1y agoKLINKUnlinked report picks the higher-PIC marker from each pair
  12. 2y agoKLINKMarkers pair dynamically against a 50-marker map, replacing hard-coded pairs

Frequently asked questions

What is the difference between duckspatial and KLINK?

They serve adjacent needs but don't currently overlap on shipped themes. KLINK 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 KLINK?

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

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