← Back to home
Comparison · Analytics

pedtools vs ribd

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

pedtools vs ribd: at a glance

Featurepedtoolsribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themespedigree analysis, forensic genetics, algorithms, loop breakingstatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update54m ago1h ago
WebsiteVisit →Visit →

What is pedtools?

pedtools rewrote loop breaking and made a class of pedigrees analyzable for the first time.

pedtools is the foundation of the ped suite, holding the pedigree data structures every other package builds on. Version 2.11.0 revamped the loop breaking algorithm so founders can serve as loop breakers and one individual can break several loops, which makes likelihood calculations possible in pedigrees that previously could not be handled at all. Loop detection also became mandatory and faster, and the surrounding releases have steadily added query and construction helpers.

Read the full pedtools 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 →

pedtools vs ribd: editorial side-by-side

P
pedtools
ANALYTICS
0.0

pedtools rewrote loop breaking and made a class of pedigrees analyzable for the first time.

◆ Current state

pedtools is the foundation of the ped suite, holding the pedigree data structures every other package builds on. Version 2.11.0 revamped the loop breaking algorithm so founders can serve as loop breakers and one individual can break several loops, which makes likelihood calculations possible in pedigrees that previously could not be handled at all. Loop detection also became mandatory and faster, and the surrounding releases have steadily added query and construction helpers.

◆ Where it's heading

The package has been working toward this for over a year. Version 2.8.0 replaced the igraph-based loop breaker with a custom implementation, 2.8.1 made findLoopBreakers() substantially faster in large pedigrees, and 2.11.0 rewrote the algorithm outright. The new methods ship disabled by default while downstream packages catch up, which is a deliberately staged rollout rather than a flag day. Alongside that, the additive work is small, well-scoped helpers: children2(), addSibling(), isHomozygous(), trim(), nChildren().

◆ Prediction

Expect the new loop breaking methods to become the default once pedprobr, forrel, and dvir have all shipped support for them, since the only stated reason for the opt-in flag is downstream readiness.

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 pedtools 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 pedtools or ribd.

See all pedtools alternatives → · See all ribd alternatives →

Recent activity from pedtools 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 agopedtoolsLoop breaking rewrite makes intractable pedigrees analyzable
  3. 6mo agopedtoolsGenotype comparison helpers and more flexible subsetting
  4. 9mo agopedtoolsmergePed() handles marker data; genotype removal simplified
  5. 1y agopedtoolssetSNPs() accepts genotypes; proband arrows in plots
  6. 1y agopedtoolstrim() prunes uninformative leaves; loop breaker search sped up
  7. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  8. 1y agopedtoolsigraph dependency dropped for a custom loop breaker
  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 pedtools 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 pedtools 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 pedtools?

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