tibblify
tibblify learned to derive its own specs from OpenAPI, removing the step users disliked most
A side-by-side editorial comparison of glydraw and glystats — release velocity, themes, recent moves, and the top alternatives to consider.
SNFG glycan cartoons stopped being pictures and became ggplot2 geoms, guides and axis labels.
glydraw renders glycan structures as SNFG-standard cartoons, standalone or exported in bulk, and since 0.7.0 as native ggplot2 components: geom_glycan() for observations, geom_node_glycan() for ggraph networks, guide_glycan() for legends, and scale_x_glycan() and scale_y_glycan() for discrete axes. Appearance is configured through a single reusable style object rather than scattered arguments, a consolidation that 0.8.0 made breaking. The colour handling now expects a complete SNFG palette rather than sparse per-monosaccharide overrides.
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.
glydraw renders glycan structures as SNFG-standard cartoons, standalone or exported in bulk, and since 0.7.0 as native ggplot2 components: geom_glycan() for observations, geom_node_glycan() for ggraph networks, guide_glycan() for legends, and scale_x_glycan() and scale_y_glycan() for discrete axes. Appearance is configured through a single reusable style object rather than scattered arguments, a consolidation that 0.8.0 made breaking. The colour handling now expects a complete SNFG palette rather than sparse per-monosaccharide overrides.
The first half of this record is geometry correctness, fixing branch spacing, overlapping linkage annotations, core fucose collisions, triangle alignment and nested side-chain layout, because a cartoon that draws the wrong topology is worse than no cartoon. Once the drawing was trustworthy the package moved outward into ggplot2 and then inward again to consolidate its own API, dropping the glyexp dependency, removing positional argument support, and folding rendering options into style_glydraw(). Each of the last several releases has been explicitly breaking, which is a maintainer using a pre-1.0 window deliberately.
With the style object established and the ggplot2 surface in place, the remaining explicit arguments, show_linkage and orient, are the visible inconsistency and may follow the others into the style. Sibling packages adopt each change within days, as glyenzy did with the new orientation values, so expect the next breaking change to propagate the same way.
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.
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.
With the interface pruning finished, the next releases are more likely to deepen the tests that remain than to add new analysis families.
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 glydraw or glystats.
tibblify learned to derive its own specs from OpenAPI, removing the step users disliked most
spsurvey has spent four years consolidating after its 5.0.0 rewrite rather than adding to it
StreamCatTools is quietly moving off web services and onto cloud-native GeoParquet
reproducible added a windowed read path so remote GeoTiffs never fully download
qcTAF is building an automated checklist for reproducible fisheries assessments, one criterion at a time
After three dormant years, rpymat returned to fix the OpenMP crash that breaks R and conda together
See all glydraw alternatives → · See all glystats alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — glycomics — within Analytics. glydraw is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. glydraw is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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.
Top glydraw alternatives in Analytics are ranked by recent ship velocity. Browse the "glydraw alternatives" section above for the current picks, or visit /alternatives/glydraw for the full list with editorial commentary on each.
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.