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KLINK vs rasterpic

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

KLINK vs rasterpic: at a glance

FeatureKLINKrasterpic
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesforensic-genetics, kinship-testing, str-markers, shinyr, geospatial, raster, terra
Last editorial update2h ago12m ago
WebsiteVisit →Visit →

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 →

What is rasterpic?

rasterpic became an S3 generic and picked up stars support; the rest is upkeep

rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.

Read the full rasterpic trajectory →

KLINK vs rasterpic: editorial side-by-side

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.

R
rasterpic
ANALYTICS
0.0

rasterpic became an S3 generic and picked up stars support; the rest is upkeep

◆ Current state

rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.

◆ Where it's heading

The direction is broader input-class coverage inside the same single-function design, and tighter integration with the plotting ecosystem downstream. 0.3.0 renamed output layers to r/g/b/alpha specifically to stay compatible with tmap 4.0; 0.5.1 restored the RGB specification on masked and inverted output after it regressed, and moved errors and warnings to cli formatting. Releases are frequent but small.

◆ Prediction

With the generic in place, adding further input classes is now cheap, so that is the likely direction. The 0.5.1 regression on mask/inverse output suggests the RGB-specification path is the fragile part worth watching.

Alternatives to KLINK and rasterpic

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 KLINK or rasterpic.

See all KLINK alternatives → · See all rasterpic alternatives →

Recent activity from KLINK and rasterpic

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 agorasterpiccli-formatted messages; RGB specification restored for masked output
  3. 2mo agorasterpicrasterpic_img() becomes an S3 generic with stars support
  4. 3mo agoKLINKIn-app help pages, a mutation-model setting, and clearer controls
  5. 4mo agorasterpicVignettes migrated to Quarto
  6. 7mo agorasterpicNew logo; minimum R raised to 4.1.0
  7. 1y agoKLINKComplex mutation models become usable via upstream special lumping
  8. 1y agorasterpicOutput layers renamed r/g/b/alpha for tmap 4.0 compatibility
  9. 1y agorasterpicOutput declared as RGB raster; unused dependencies removed
  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 KLINK and rasterpic?

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 KLINK better than rasterpic?

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 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.

What are the best alternatives to rasterpic?

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