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glystats vs ibdsim2

A side-by-side editorial comparison of glystats and ibdsim2 — release velocity, themes, recent moves, and the top alternatives to consider.

glystats vs ibdsim2: at a glance

Featureglystatsibdsim2
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesglycomics, statistics, differential analysis, breaking changesstatistical-genetics, pedigree-analysis, simulation, r-packages
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is glystats?

glystats keeps deleting analyses it decided belong somewhere else.

glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.

Read the full glystats trajectory →

What is ibdsim2?

A pedigree IBD simulator that absorbed its own web app and now optimises for dense marker panels.

ibdsim2 simulates identity-by-descent sharing along chromosomes for arbitrary pedigrees, in both autosomal and X-chromosomal form, with downstream tools for segment statistics, pattern finding and distribution plots. Since 2.1.0 the Shiny front end lives inside the package and launches via launchApp() rather than sitting in a separate repository. The latest release is performance work, with profileSimIBD() substantially sped up for dense marker panels and ibdsim() skipping recombination in pedigree branches that cannot affect the result.

Read the full ibdsim2 trajectory →

glystats vs ibdsim2: editorial side-by-side

G
glystats
ANALYTICS
0.0

glystats keeps deleting analyses it decided belong somewhere else.

◆ Current state

glystats provides the statistical tests behind glycoverse: differential analysis, clustering, dimensionality reduction, and until recently enrichment. The last four releases are mostly subtraction. WGCNA and consensus clustering were removed in 0.10.0 as too interactive for a pipeline package, the enrichment functions were deprecated in the same release and deleted in 0.11.0 in favor of glyfun, and 0.11.0 also removed every gly_*_() matrix and vector interface. What remains accepts SummarizedExperiment inputs.

◆ Where it's heading

The package is narrowing on purpose. The through-line across removals is a refusal to support two calling conventions or two homes for the same analysis: containers only, no bare matrices; one enrichment implementation, in glyfun. The additive work in the window went to statistical rigor rather than surface area, with effect sizes added to the four main tests, sign bugs fixed, and the log2 pseudo-count reduced.

◆ Prediction

With the interface pruning finished, the next releases are more likely to deepen the tests that remain than to add new analysis families.

I
ibdsim2
ANALYTICS
2.5

A pedigree IBD simulator that absorbed its own web app and now optimises for dense marker panels.

◆ Current state

ibdsim2 simulates identity-by-descent sharing along chromosomes for arbitrary pedigrees, in both autosomal and X-chromosomal form, with downstream tools for segment statistics, pattern finding and distribution plots. Since 2.1.0 the Shiny front end lives inside the package and launches via launchApp() rather than sitting in a separate repository. The latest release is performance work, with profileSimIBD() substantially sped up for dense marker panels and ibdsim() skipping recombination in pedigree branches that cannot affect the result.

◆ Where it's heading

Two long-running threads. One is the app as a first-class part of the package, which has been getting input validation, dependency checks and plotting fixes release after release, treating a research GUI as software to be maintained rather than a demo. The other is numerical care: the built-in recombination map was rebuilt in 2.3.0 with better chromosome endpoints and a thinning algorithm that cut it from about 38,000 points to 14,000 without losing accuracy, and IBD segment merging has been made consistent across the realised-coefficient functions. The maintainer flags repeatedly that seeded results may differ across versions, which is the right disclosure for a simulator used in published analyses.

◆ Prediction

The recent work points at further speed on dense panels and continued hardening of app input handling, both of which have appeared in each of the last several releases. Nothing here signals a new modelling capability on the way.

Alternatives to glystats and ibdsim2

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 glystats or ibdsim2.

See all glystats alternatives → · See all ibdsim2 alternatives →

Recent activity from glystats and ibdsim2

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

  1. 11d agoibdsim2profileSimIBD() sped up for dense marker panels; segment merging fixed
  2. 1mo agoglystatsDocs recommend the new SE containers
  3. 1mo agoglystatsTests recognize both container types consistently
  4. 1mo agoglystatsMatrix interfaces and enrichment functions removed
  5. 2mo agoglystatsSmaller log2 pseudo-count across DEA and clustering
  6. 3mo agoglystatsWGCNA and clustering dropped, enrichment deprecated
  7. 4mo agoglystatsEffect sizes added and test statistic signs fixed
  8. 8mo agoibdsim2Segment-distribution merge argument, and function-valued parameters
  9. 1y agoibdsim2Built-in decode19 recombination map rebuilt, cutting 38k points to 14k
  10. 1y agoibdsim2Consistent IBD segment merging across the realised-coefficient functions
  11. 1y agoibdsim2Built-in pedigree labels revised; extra inbred examples added
  12. 1y agoibdsim2The Shiny front end moves into the package and gains X-chromosomal simulation

Frequently asked questions

What is the difference between glystats and ibdsim2?

They serve adjacent needs but don't currently overlap on shipped themes. ibdsim2 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 glystats better than ibdsim2?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ibdsim2 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 glystats?

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

What are the best alternatives to ibdsim2?

Top ibdsim2 alternatives in Analytics are ranked by recent ship velocity. Browse the "ibdsim2 alternatives" section above for the current picks, or visit /alternatives/ibdsim2 for the full list with editorial commentary on each.