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pedbuildr vs ribd

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

pedbuildr vs ribd: at a glance

Featurepedbuildrribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themespedigree reconstruction, forensic genetics, parallel computing, performancestatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update39m ago1h ago
WebsiteVisit →Visit →

What is pedbuildr?

pedbuildr reconstructs pedigrees from DNA, and it just got much faster at the search.

pedbuildr infers pedigree structure from marker data by scoring candidate pedigrees against likelihoods. Version 0.4.0 moved reconstruct() to mirai for parallel likelihood computation, deprecated the old numCores argument, and picked up the improved loop breaking from pedtools and pedprobr, which lets many complex looped pedigrees succeed where they previously failed. buildPeds() also got significantly faster in its default configuration where mating between lineally related individuals is disallowed.

Read the full pedbuildr 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 →

pedbuildr vs ribd: editorial side-by-side

P
pedbuildr
ANALYTICS
0.0

pedbuildr reconstructs pedigrees from DNA, and it just got much faster at the search.

◆ Current state

pedbuildr infers pedigree structure from marker data by scoring candidate pedigrees against likelihoods. Version 0.4.0 moved reconstruct() to mirai for parallel likelihood computation, deprecated the old numCores argument, and picked up the improved loop breaking from pedtools and pedprobr, which lets many complex looped pedigrees succeed where they previously failed. buildPeds() also got significantly faster in its default configuration where mating between lineally related individuals is disallowed.

◆ Where it's heading

The package is bounded by two costs: how many candidate pedigrees it enumerates and how expensive each likelihood is. The recent release attacks both, parallelizing the likelihoods and speeding up enumeration in the common case. The earlier 0.3.0 release worked on the other end, adding inbreeding limits and a proper result class so the output of a large search is manageable. Releases are infrequent, roughly three years apart in this window.

◆ Prediction

Expect the candidate generation side to receive the same attention the likelihood side just did, since search space size is the remaining bound on what pedbuildr can reconstruct.

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 pedbuildr 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 pedbuildr or ribd.

See all pedbuildr alternatives → · See all ribd alternatives →

Recent activity from pedbuildr 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 agopedbuildrmirai parallelism and faster pedigree enumeration
  3. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  4. 2y agoribdIBD triangle plots gain ggplot2 and plotly backends, plus inset pedigrees
  5. 2y agopedbuildrpedCollection class and an inbreeding ceiling
  6. 3y agoribdTriangle line clipping, automatic plot margins, citation info
  7. 3y agoribdTwo-locus functions overhauled; twoLocusInbreeding and ELR added
  8. 4y agoribdIdentity coefficients unified behind identityCoefs() and an Xchrom argument

Frequently asked questions

What is the difference between pedbuildr 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 pedbuildr 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 pedbuildr?

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