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glyrepr vs ribd

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

Shared themes:r-packages

glyrepr vs ribd: at a glance

Featureglyreprribd
SectorAnalyticsAnalytics
Velocity score2.52.5
Sparks · 30d00
Top themesglycomics, data-structures, type-system, r-packagesstatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update45m ago49m ago
WebsiteVisit →Visit →

What is glyrepr?

The type system the rest of the glycan stack is built on, being hardened one breaking change at a time.

glyrepr defines the vector types for glycan structures and compositions that every sibling package operates on, with names, NA values, resolution levels from basic through intact, and mapping helpers over structure vectors. Structures now convert to and from node and edge tibbles, low-level constructors support name-preserving construction from trusted graphs, and as_glycan_structure() can degrade element-local failures to NA with one aggregated warning instead of failing the whole vector. The monosaccharide table has been normalised so every entry has a generic form, and substituent support keeps widening.

Read the full glyrepr 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 →

glyrepr vs ribd: editorial side-by-side

G
glyrepr
ANALYTICS
2.5

The type system the rest of the glycan stack is built on, being hardened one breaking change at a time.

◆ Current state

glyrepr defines the vector types for glycan structures and compositions that every sibling package operates on, with names, NA values, resolution levels from basic through intact, and mapping helpers over structure vectors. Structures now convert to and from node and edge tibbles, low-level constructors support name-preserving construction from trusted graphs, and as_glycan_structure() can degrade element-local failures to NA with one aggregated warning instead of failing the whole vector. The monosaccharide table has been normalised so every entry has a generic form, and substituent support keeps widening.

◆ Where it's heading

This package sets the pace for the cohort, and its breaking changes show up as compatibility patches in glyanno, glyenzy and glymotif within days. The direction is toward behaving like a well-built vctrs type: 0.10.0 rewrote the internals to support names and NA properly, 0.11.0 made structure level a vector-wide scalar rather than a per-element value, and the recent releases keep making failure explicit rather than silent, with strict input checks and typed errors replacing quiet drops. Dependencies get shed as readily as features get added, with the parallel-mapping arguments and their furrr and future dependencies removed outright in 0.13.0.

◆ Prediction

The graph-table conversions added in 0.13.0 and the name-preserving low-level constructors in 0.14.0 both look like foundations for other packages to build structures programmatically, so expect that surface to firm up next. Given the cadence of breaking changes, a 1.0 that freezes the type semantics is the more consequential thing to watch for.

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 glyrepr 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 glyrepr or ribd.

See all glyrepr alternatives → · See all ribd alternatives →

Recent activity from glyrepr 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. 26d agoglyreprName-preserving construction from trusted graphs; partial-failure coercion
  3. 1mo agoglyreprStructures convert to and from graph tibbles; parallel mapping dropped
  4. 1mo agoglyreprFaster structure vector creation
  5. 3mo agoglyreprAnomeric position helpers for structures with missing detail
  6. 3mo agoglyreprStructure level becomes a vector-wide scalar; sialic acid shorthand parsed
  7. 6mo agoglyreprReplaces a deprecated dplyr call to silence warnings
  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 glyrepr and ribd?

Both compete on the same themes — r-packages — within Analytics. glyrepr and ribd are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is glyrepr better than ribd?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glyrepr and ribd are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to glyrepr?

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