gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
glyvis vs ribd
A side-by-side editorial comparison of glyvis and ribd — release velocity, themes, recent moves, and the top alternatives to consider.
glyvis vs ribd: at a glance
What is glyvis?
glyvis keeps losing plot functions as the packages behind them get reorganized.
glyvis is the plotting layer for glycoverse results. Its recent releases are dominated by two forces it does not control: glyexp's container migration, which it absorbed in 0.7.0 by accepting SummarizedExperiment inputs, and glystats' function removals, which cost it first the WGCNA and consensus-clustering autoplot methods and then the entire enrichment plotting surface. Its own additions in the window are narrow, mostly label handling and NA robustness.
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.
glyvis vs ribd: editorial side-by-side
glyvis
0.0ANALYTICS
glyvis keeps losing plot functions as the packages behind them get reorganized.
◆ Current state
glyvis is the plotting layer for glycoverse results. Its recent releases are dominated by two forces it does not control: glyexp's container migration, which it absorbed in 0.7.0 by accepting SummarizedExperiment inputs, and glystats' function removals, which cost it first the WGCNA and consensus-clustering autoplot methods and then the entire enrichment plotting surface. Its own additions in the window are narrow, mostly label handling and NA robustness.
◆ Where it's heading
The package is being pruned from upstream rather than expanded from within. Every breaking change in the last four releases is a removal triggered by a sibling package dropping the function that produced the object being plotted. With enrichment now living in glyfun, the plotting for it has to be rebuilt somewhere, and glyvis is the obvious home.
◆ Prediction
Expect enrichment plotting to return once glyfun's result objects stabilize, since the visualizations were removed for want of an upstream producer rather than because users stopped needing them.
ribd
2.5ANALYTICS
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 glyvis 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 glyvis or ribd.
ducksemantics
ducksemantics puts an ontology graph and ColBERT retrieval inside DuckDB, callable from R.
dvir
dvir keeps making disaster victim identification a single call instead of a workflow.
pedbuildr
pedbuildr reconstructs pedigrees from DNA, and it just got much faster at the search.
forrel
forrel is getting faster at the simulations forensic kinship work actually spends its time on.
pedFamilias
pedFamilias exists to read one legacy file format, and it has that job nearly finished.
Recent activity from glyvis and ribd
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 12d agoribdCustom relationships on the IBD triangle; six alignment and edge-case fixes
- 1mo agoglyvisDocs recommend the new SE containers
- 1mo agoglyvisplot_logo() detects glycoproteomics across both containers
- 1mo agoglyvisPlots accept SummarizedExperiment; enrichment plots removed
- 3mo agoglyvisStale WGCNA and clustering autoplot methods removed
- 6mo agoglyvisDependencies move to the r-universe repository
- 7mo agoglyvisplot_logo() fetches UniProt sequences automatically
- 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
- 2y agoribdIBD triangle plots gain ggplot2 and plotly backends, plus inset pedigrees
- 3y agoribdTriangle line clipping, automatic plot margins, citation info
- 3y agoribdTwo-locus functions overhauled; twoLocusInbreeding and ELR added
- 4y agoribdIdentity coefficients unified behind identityCoefs() and an Xchrom argument
Frequently asked questions
What is the difference between glyvis 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 glyvis 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 glyvis?
Top glyvis alternatives in Analytics are ranked by recent ship velocity. Browse the "glyvis alternatives" section above for the current picks, or visit /alternatives/glyvis 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.