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glyparse vs ribd

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

glyparse vs ribd: at a glance

Featureglyparseribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesglycomics, parsing, file formats, performancestatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update56m ago1h ago
WebsiteVisit →Visit →

What is glyparse?

glyparse is quietly becoming the universal reader for glycan text notation.

glyparse converts the various text encodings of glycan structures into glyrepr objects. Version 0.7.0 was the widest release in the window, adding parsers for GlyCAM IUPAC, IUPAC-compact, KCF, and LINUCS and teaching auto_parse() to route them, alongside a long list of GlycoCT and WURCS edge cases. The rest of the window is error-handling and performance work: an on_failure switch, a 10-30x speedup on large inputs, and NA and name preservation.

Read the full glyparse 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 →

glyparse vs ribd: editorial side-by-side

G
glyparse
ANALYTICS
0.0

glyparse is quietly becoming the universal reader for glycan text notation.

◆ Current state

glyparse converts the various text encodings of glycan structures into glyrepr objects. Version 0.7.0 was the widest release in the window, adding parsers for GlyCAM IUPAC, IUPAC-compact, KCF, and LINUCS and teaching auto_parse() to route them, alongside a long list of GlycoCT and WURCS edge cases. The rest of the window is error-handling and performance work: an on_failure switch, a 10-30x speedup on large inputs, and NA and name preservation.

◆ Where it's heading

Two things are being built at once. Coverage keeps widening, both in the number of notations supported and in how much malformed or ambiguous real-world input each parser tolerates: alditol residues, unknown ring positions, ambiguous sialic acid descriptors, uppercase residue IDs. Meanwhile the package is hardening for batch use, with progress bars, vectorized speed, and a choice between erroring and returning NA on unparsable strings.

◆ Prediction

With the major notations now covered, expect further releases to go to robustness on messy inputs and to keeping pace with glyrepr's structure representation rather than adding formats.

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 glyparse 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 glyparse or ribd.

See all glyparse alternatives → · See all ribd alternatives →

Recent activity from glyparse 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 agoglyparseParser output uses glyrepr's public constructor
  3. 1mo agoglyparseFour new notations parsed and auto-detected
  4. 1mo agoglyparseWURCS and GlycoCT edge cases handled
  5. 3mo agoglyparseon_failure lets parsers return NA instead of erroring
  6. 5mo agoglyparseIUPAC parser accepts plain-text equivalents
  7. 5mo agoglyparseParsers get 10-30x faster on large inputs
  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 glyparse 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 glyparse 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 glyparse?

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