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 pedprobr — 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.
pedprobr is the likelihood engine, and it keeps finding ways to compute what it previously could not.
pedprobr computes pedigree likelihoods for the ped suite. Version 1.1.0 updated its loop handling to match pedtools 2.11.0, including founder and repeated loop breakers, and improved the peeling algorithm with single-child shortcuts and lower memory use. Version 1.0.0 was the other expansion: special lumping lets markers with mutation models that are un-lumpable in the Kemeny-Snell sense be lumped anyway in certain cases, with alleleLimit as a fallback for the rest.
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.
pedprobr computes pedigree likelihoods for the ped suite. Version 1.1.0 updated its loop handling to match pedtools 2.11.0, including founder and repeated loop breakers, and improved the peeling algorithm with single-child shortcuts and lower memory use. Version 1.0.0 was the other expansion: special lumping lets markers with mutation models that are un-lumpable in the Kemeny-Snell sense be lumped anyway in certain cases, with alleleLimit as a fallback for the rest.
Every significant release here removes a class of computation that used to be infeasible, either by making a marker lumpable or by making a loop breakable. The rest is steady peeling-algorithm optimization, which has been reducing memory footprint release after release since 0.9.2. The newly added .diagnostics option suggests the peeling internals are now complex enough that the maintainer needs to inspect them.
Since special lumping is documented as covering only some cases so far, expect further lumping situations to be implemented as pedmut adds them.
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 pedprobr.
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 pedprobr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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 pedprobr alternatives in Analytics are ranked by recent ship velocity. Browse the "pedprobr alternatives" section above for the current picks, or visit /alternatives/pedprobr for the full list with editorial commentary on each.