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ribd vs vellumverse

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

ribd vs vellumverse: at a glance

Featureribdvellumverse
SectorAnalyticsAnalytics
Velocity score2.55.0
Sparks · 30d00
Top themesstatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packagesr-graphics, meta-package, dependency-management, ecosystem
Last editorial update48m ago55m ago
WebsiteVisit →Visit →

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 →

What is vellumverse?

A meta-package whose entire changelog is a version pin, tracking an ecosystem moving faster than it is.

vellumverse attaches the vellum graphics ecosystem in one library() call, reports which versions loaded, lists the bundled packages and surfaces functions masked across them. It is deliberately dependency-light, having dropped rlang and declared only what the conflict reporter actually uses. Since 0.2.0 every release has been a version pin bump rather than new behaviour of its own.

Read the full vellumverse trajectory →

ribd vs vellumverse: editorial side-by-side

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.

V
vellumverse
ANALYTICS
5.0

A meta-package whose entire changelog is a version pin, tracking an ecosystem moving faster than it is.

◆ Current state

vellumverse attaches the vellum graphics ecosystem in one library() call, reports which versions loaded, lists the bundled packages and surfaces functions masked across them. It is deliberately dependency-light, having dropped rlang and declared only what the conflict reporter actually uses. Since 0.2.0 every release has been a version pin bump rather than new behaviour of its own.

◆ Where it's heading

The release record is an index of other packages' work: four of the last six entries do nothing but raise the floor on vellum, vellumplot and vellumwidget. The cadence tells the real story, with pins moving roughly weekly and each bump chasing a minor release somewhere downstream, so the meta-package is currently a distribution convenience rather than a component. The one genuinely structural release in the window was 0.2.1, which trimmed the dependency surface to keep an attach-only package cheap to install.

◆ Prediction

Expect the pin bumps to keep pace with the ecosystem's weekly releases rather than any feature of its own, and the pin on vellumplot to move again as the interaction grammar the widget now depends on continues to land. Whether vellumverse ever grows beyond attach-and-report is not visible in these entries.

Alternatives to ribd and vellumverse

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 ribd or vellumverse.

See all ribd alternatives → · See all vellumverse alternatives →

Recent activity from ribd and vellumverse

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. 14d agovellumversePins raised to vellum 0.6.6, vellumplot 0.9.0, vellumwidget 0.8.0
  3. 20d agovellumversePins raised to vellumplot 0.8.0 and vellumwidget 0.7.0
  4. 27d agovellumversePins raised to vellum 0.5.0, vellumplot 0.6.0, vellumwidget 0.6.0
  5. 1mo agovellumversePins raised to vellum 0.4.0, vellumplot 0.5.0, vellumwidget 0.5.0
  6. 1mo agovellumverseDependency surface trimmed to keep the meta-package light
  7. 1mo agovellumverseAdopts vellum's renamed vl_* graphics primitives
  8. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  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 ribd and vellumverse?

They serve adjacent needs but don't currently overlap on shipped themes. vellumverse is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 ribd better than vellumverse?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. vellumverse is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 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.

What are the best alternatives to vellumverse?

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