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glystats vs reproducible

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

glystats vs reproducible: at a glance

Featureglystatsreproducible
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesglycomics, statistics, differential analysis, breaking changesr, caching, geospatial, cloud optimized geotiff
Last editorial update1h ago15m 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 reproducible?

reproducible added a windowed read path so remote GeoTiffs never fully download

reproducible provides caching and input-preparation tooling for R workflows, with prepInputs() as the central entry point for fetching, cropping and post-processing spatial data. Only two releases are on record here, both from May 2026 and two days apart: a feature release followed immediately by a CRAN-triggered patch.

Read the full reproducible trajectory →

glystats vs reproducible: 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.

R
reproducible
ANALYTICS
0.0

reproducible added a windowed read path so remote GeoTiffs never fully download

◆ Current state

reproducible provides caching and input-preparation tooling for R workflows, with prepInputs() as the central entry point for fetching, cropping and post-processing spatial data. Only two releases are on record here, both from May 2026 and two days apart: a feature release followed immediately by a CRAN-triggered patch.

◆ Where it's heading

3.1.0 adds prepInputsCOG, a fast path inside prepInputs for remote tiled GeoTiffs including Cloud Optimized GeoTiffs. When the URL is HTTP(S) and any of to, cropTo or maskTo is supplied, only the spatial window of interest is fetched through GDAL's /vsicurl/, and the resulting windowed SpatRaster continues through the normal post-processing pipeline. The same release renames the inputPaths options to the destinationPathShared family with backwards-compatible aliases and a deprecation message, and lets alsoExtract accept regex patterns.

◆ Prediction

The COG path being opt-out via options(reproducible.useCOG = FALSE) suggests confidence in it as a default, so wider application across the prepInputs family is the plausible next step. Two entries is a thin base for predicting cadence.

Alternatives to glystats and reproducible

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 reproducible.

See all glystats alternatives → · See all reproducible alternatives →

Recent activity from glystats and reproducible

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

  1. 1mo agoglystatsDocs recommend the new SE containers
  2. 1mo agoglystatsTests recognize both container types consistently
  3. 1mo agoglystatsMatrix interfaces and enrichment functions removed
  4. 2mo agoglystatsSmaller log2 pseudo-count across DEA and clustering
  5. 3mo agoreproducibleInode comparison fix for large-inode file systems
  6. 3mo agoreproducibleprepInputsCOG fetches only the spatial window from remote GeoTiffs
  7. 3mo agoglystatsWGCNA and clustering dropped, enrichment deprecated
  8. 4mo agoglystatsEffect sizes added and test statistic signs fixed

Frequently asked questions

What is the difference between glystats and reproducible?

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

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

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