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dvir vs glyfun

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

dvir vs glyfun: at a glance

Featuredvirglyfun
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforensic genetics, victim identification, pipeline, scalabilityglycomics, enrichment analysis, bioconductor, r packages
Last editorial update15m ago24m ago
WebsiteVisit →Visit →

What is dvir?

dvir keeps making disaster victim identification a single call instead of a workflow.

dvir handles disaster victim identification: matching unidentified remains against reference families using pedigree likelihoods. The package has consolidated around dviSolve(), a complete pipeline introduced in 3.2.1 and rewritten in 3.3.0 to use generalised likelihood ratios for families with several missing persons. Recent releases have been about making that pipeline survive large cases, adding dviGridSize() and a maxAssign cutoff to skip joint analysis when the combination count explodes, plus per-step timings.

Read the full dvir trajectory →

What is glyfun?

glyfun is three releases old and has spent all of them chasing glyexp's container change.

glyfun is the newest glycoverse package, carved out to hold the enrichment analysis functions that glystats deprecated. Its entire visible history is the 0.1.x series, and all three releases are container plumbing: detected_universe() learning to accept GlycoproteomicSE, then the vignette and documentation following. There is no independent feature work in the record yet.

Read the full glyfun trajectory →

dvir vs glyfun: editorial side-by-side

D
dvir
ANALYTICS
0.0

dvir keeps making disaster victim identification a single call instead of a workflow.

◆ Current state

dvir handles disaster victim identification: matching unidentified remains against reference families using pedigree likelihoods. The package has consolidated around dviSolve(), a complete pipeline introduced in 3.2.1 and rewritten in 3.3.0 to use generalised likelihood ratios for families with several missing persons. Recent releases have been about making that pipeline survive large cases, adding dviGridSize() and a maxAssign cutoff to skip joint analysis when the combination count explodes, plus per-step timings.

◆ Where it's heading

The arc is from a toolbox of functions toward one supervised pipeline, with the older jointDVI() now emitting a legacy message. The current constraint is combinatorial: joint analysis over many victims and missing persons blows up, so the work has gone to measuring the blowup and bailing out of it. Parallelism is mid-migration, with the parallel and pbapply implementation removed and a mirai replacement stated as planned but not yet shipped, leaving numCores accepted and ignored with a warning.

◆ Prediction

The mirai-based parallelisation is announced as coming, so expect it next, most likely applied to the joint analysis step that maxAssign currently exists to avoid.

G
glyfun
ANALYTICS
0.0

glyfun is three releases old and has spent all of them chasing glyexp's container change.

◆ Current state

glyfun is the newest glycoverse package, carved out to hold the enrichment analysis functions that glystats deprecated. Its entire visible history is the 0.1.x series, and all three releases are container plumbing: detected_universe() learning to accept GlycoproteomicSE, then the vignette and documentation following. There is no independent feature work in the record yet.

◆ Where it's heading

This is a package being born into a migration rather than one navigating it. Because glystats removed its gly_enrich_*() functions outright and glysmith already routes enrichment through glyfun, the functional surface is inherited rather than designed here. The near-term arc is catching up to the rest of the stack; the interesting question is what glyfun adds once it is no longer just the relocation target.

◆ Prediction

Expect the first release with genuinely new enrichment capability rather than migration plumbing, most likely broadening the gene-set sources glystats never covered.

Alternatives to dvir and glyfun

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 dvir or glyfun.

See all dvir alternatives → · See all glyfun alternatives →

Recent activity from dvir and glyfun

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoglyfunDocs move to GlycoproteomicSE inputs
  2. 1mo agoglyfunVignette runs against both container types
  3. 1mo agoglyfundetected_universe() accepts GlycoproteomicSE objects
  4. 1mo agodvirCombination sizing and a cutoff for joint analysis
  5. 3mo agodvirJoint tables added to solver output
  6. 3mo agodvirVictim and database accessors, plus solver refinements
  7. 1y agodvirSolver rewritten around generalised likelihood ratios
  8. 2y agodvirdviSolve() pipeline and manual pairing controls
  9. 2y agodvirMaintainer handover and small reporting additions

Frequently asked questions

What is the difference between dvir and glyfun?

They serve adjacent needs but don't currently overlap on shipped themes. dvir and glyfun are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 dvir better than glyfun?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dvir and glyfun are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 dvir?

Top dvir alternatives in Analytics are ranked by recent ship velocity. Browse the "dvir alternatives" section above for the current picks, or visit /alternatives/dvir for the full list with editorial commentary on each.

What are the best alternatives to glyfun?

Top glyfun alternatives in Analytics are ranked by recent ship velocity. Browse the "glyfun alternatives" section above for the current picks, or visit /alternatives/glyfun for the full list with editorial commentary on each.