gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
glyexp vs ribd
A side-by-side editorial comparison of glyexp and ribd — release velocity, themes, recent moves, and the top alternatives to consider.
glyexp vs ribd: at a glance
What is glyexp?
glyexp is retiring its own data container and handing the job to Bioconductor.
glyexp is the container layer under the glycoverse stack, and it just changed what that container is. Versions 0.15.0 and 0.16.0 introduced GlycomicSE and GlycoproteomicSE as SummarizedExperiment subclasses, taught the dplyr-style verbs to operate on them, and then deprecated the legacy experiment() constructor and its accessors. Earlier releases in the window were narrower: as_pseudo_glycome(), a magrittr-free rewrite, and an offline standardize_variable().
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.
glyexp vs ribd: editorial side-by-side
glyexp
0.0ANALYTICS
glyexp is retiring its own data container and handing the job to Bioconductor.
◆ Current state
glyexp is the container layer under the glycoverse stack, and it just changed what that container is. Versions 0.15.0 and 0.16.0 introduced GlycomicSE and GlycoproteomicSE as SummarizedExperiment subclasses, taught the dplyr-style verbs to operate on them, and then deprecated the legacy experiment() constructor and its accessors. Earlier releases in the window were narrower: as_pseudo_glycome(), a magrittr-free rewrite, and an offline standardize_variable().
◆ Where it's heading
The package is moving from a bespoke object model to the Bioconductor one, and doing it in explicitly numbered stages tracked in a single issue (glyexp#15). Stage I added the subclasses as experimental; Stage II deprecated the old container and pushed the migration through ten sibling packages within days. The tidy manipulation verbs are being kept as the compatibility bridge, which suggests the dplyr surface is what the maintainer considers glyexp's actual contribution once the container is someone else's.
◆ Prediction
Expect a Stage III release that removes the deprecated experiment() constructor and accessors outright, leaving GlycomicSE and GlycoproteomicSE as the only supported containers.
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 glyexp 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 glyexp 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 glyexp 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 agoglyexpglyexp deprecates its own container for SummarizedExperiment ⚡
- 1mo agoglyexpExperimental GlycomicSE and GlycoproteomicSE containers land
- 1mo agoglyexpfrom_se() metadata fixes and dataset refresh
- 4mo agoglyexpfilter_obs() and filter_var() drop unused factor levels
- 4mo agoglyexpas_pseudo_glycome() converts glycoproteomics to glycomics
- 5mo agoglyexpstandardize_variable() drops its UniProt network dependency
- 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 glyexp 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 glyexp 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 glyexp?
Top glyexp alternatives in Analytics are ranked by recent ship velocity. Browse the "glyexp alternatives" section above for the current picks, or visit /alternatives/glyexp 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.