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forrel vs KLINK

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

forrel vs KLINK: at a glance

FeatureforrelKLINK
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesforensic genetics, kinship analysis, simulation, parallel computingforensic-genetics, kinship-testing, str-markers, shiny
Last editorial update38m ago1h ago
WebsiteVisit →Visit →

What is forrel?

forrel is getting faster at the simulations forensic kinship work actually spends its time on.

forrel handles forensic pedigree analysis: kinship likelihood ratios, profile simulation, relationship checking, and missing person calculations. Version 1.9.0 synced with pedtools 2.11.0's loop handling, which the release notes credit with enabling complex pedigrees that were previously intractable, and moved profileSim() to mirai for parallelism. It also added fEstimate() for inbreeding coefficients and parentChildLikelihood() as a fast path for the simplest case.

Read the full forrel 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 →

forrel vs KLINK: editorial side-by-side

F
forrel
ANALYTICS
0.0

forrel is getting faster at the simulations forensic kinship work actually spends its time on.

◆ Current state

forrel handles forensic pedigree analysis: kinship likelihood ratios, profile simulation, relationship checking, and missing person calculations. Version 1.9.0 synced with pedtools 2.11.0's loop handling, which the release notes credit with enabling complex pedigrees that were previously intractable, and moved profileSim() to mirai for parallelism. It also added fEstimate() for inbreeding coefficients and parentChildLikelihood() as a fast path for the simplest case.

◆ Where it's heading

Two long threads run through the window. One is making the common operations cheap: faster simulations through reorganized likelihood calculations, a dedicated parent-child path, dropped map attribute preservation, log-likelihoods to avoid underflow in kinshipLR(). The other is making relationship checking presentable, with checkPairwise() growing ggplot2 and plotly output, verbal relationship descriptions, and bootstrap p-values. Reference data is maintained alongside both, with the FORCE SNP panel completed and an X-chromosomal counterpart added.

◆ Prediction

With profileSim() on mirai and the loop handling synced, the next likely step is extending mirai parallelism to the other simulation-heavy functions such as exclusionPower() and the bootstrap in checkPairwise().

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 forrel 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 forrel or KLINK.

See all forrel alternatives → · See all KLINK alternatives →

Recent activity from forrel 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 agoforrelmirai parallelism and faster profile simulation
  3. 3mo agoKLINKIn-app help pages, a mutation-model setting, and clearer controls
  4. 1y agoforrelFORCE SNP panel completed and X-chromosomal set added
  5. 1y agoKLINKComplex mutation models become usable via upstream special lumping
  6. 1y agoforrelrankProfiles() and access to special lumping
  7. 1y agoforrelacrossComps argument and readFam() unexported
  8. 1y agoforrelcheckPairwise() overhauled with p-values and new plot backends
  9. 1y agoKLINKDownload fix for XML initials containing hyphens
  10. 1y agoKLINKUnlinked report picks the higher-PIC marker from each pair
  11. 2y agoKLINKMarkers pair dynamically against a 50-marker map, replacing hard-coded pairs
  12. 2y agoforrelFamilias interoperability split into pedFamilias

Frequently asked questions

What is the difference between forrel 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 forrel 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 forrel?

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