gps2gtfs
gps2gtfs spent a release making its docs stop describing functions it does not have.
Comparison · Analytics
glysmith vs ribd
A side-by-side editorial comparison of glysmith and ribd — release velocity, themes, recent moves, and the top alternatives to consider.
glysmith vs ribd: at a glance
What is glysmith?
glysmith turns an LLM interview into a reproducible glycomics analysis pipeline.
glysmith is the orchestration layer of glycoverse: inquire_blueprint() interviews the user, and forge_analysis() runs the resulting step blueprint end to end. The recent 0.12.x releases wired that pipeline onto glyexp's new SummarizedExperiment containers, and 0.12.0 pulled QC sample handling out of step_preprocess() entirely. The larger feature release was 0.11.0, which added structure inference and three more enrichment steps to the step catalogue.
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.
glysmith vs ribd: editorial side-by-side
glysmith
0.0ANALYTICS
glysmith turns an LLM interview into a reproducible glycomics analysis pipeline.
◆ Current state
glysmith is the orchestration layer of glycoverse: inquire_blueprint() interviews the user, and forge_analysis() runs the resulting step blueprint end to end. The recent 0.12.x releases wired that pipeline onto glyexp's new SummarizedExperiment containers, and 0.12.0 pulled QC sample handling out of step_preprocess() entirely. The larger feature release was 0.11.0, which added structure inference and three more enrichment steps to the step catalogue.
◆ Where it's heading
The package is growing along two axes: more steps in the catalogue, and less ceremony around getting to them. QC handling and preprocessing arguments keep being removed rather than added, while the AI layer widens to more providers instead of getting more elaborate. glysmith is also the package that absorbs the rest of the stack's reorganizations, routing enrichment to glyfun after glystats deprecated it and pulling structure inference from glyanno.
◆ Prediction
Expect the step catalogue to keep tracking sibling packages, with new steps appearing shortly after the packages behind them ship the underlying capability.
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 glysmith 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 glysmith 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.
See all glysmith alternatives → · See all ribd alternatives →
Recent activity from glysmith 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 agoglysmithBlueprint functions accept the new SE containers
- 1mo agoglysmithforge_analysis() runs natively on SummarizedExperiment
- 2mo agoglysmithQC sample handling removed from preprocessing
- 3mo agoglysmithStructure inference and three new enrichment steps
- 5mo agoglysmithstep_preprocess() matches its documented QC behavior
- 5mo agoglysmithMotif quantification splits into dynamic and branch steps
- 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 glysmith 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 glysmith 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 glysmith?
Top glysmith alternatives in Analytics are ranked by recent ship velocity. Browse the "glysmith alternatives" section above for the current picks, or visit /alternatives/glysmith 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.