eiaapi
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
Comparison · Analytics
glydraw vs sdsfun
A side-by-side editorial comparison of glydraw and sdsfun — release velocity, themes, recent moves, and the top alternatives to consider.
glydraw vs sdsfun: at a glance
What is glydraw?
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.
What is sdsfun?
A spatial-statistics utility package exists to be depended on, and is built accordingly.
sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.
glydraw vs sdsfun: editorial side-by-side
glydraw
6.3ANALYTICS
SNFG glycan cartoons stopped being pictures and became ggplot2 geoms, guides and axis labels.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
sdsfun
0.0ANALYTICS
A spatial-statistics utility package exists to be depended on, and is built accordingly.
◆ Current state
sdsfun collects spatial data science utilities — neighbour lists, spatial constrained clustering, discretization, dummy variable generation, geographical detector statistics and projection helpers — with the computationally heavy parts implemented in Rcpp. It was assembled quickly across late 2024, adding a function set roughly every three weeks, and has slowed since to a couple of releases a year. The most recent work is corrective: no longer initializing the RNG state at load, fixing matrix inputs misread as vectors, and clearing an Armadillo deprecation.
◆ Where it's heading
This is infrastructure for a family of packages rather than an end-user tool, and the changelog says so directly — functions were added to support gdverse and sesp, and moran_test was migrated in from geocomplexity. That migration pattern is the defining move: capability consolidates here so the downstream packages can share it instead of each carrying its own copy. Growth has slowed as that consolidation completed, leaving correctness and dependency upkeep.
◆ Prediction
Given the package moves when its dependents need something, the next release most likely brings in another shared function or responds to a downstream requirement rather than following its own plan. Armadillo and CRAN check changes remain the reliable source of maintenance work.
Alternatives to glydraw and sdsfun
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 sdsfun.
delaporte
A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.
NHSRwaitinglist
Queuing theory packaged for NHS waiting-list managers, one year into a community-built first release.
simmer.plot
The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.
fastrg
A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.
maths.genealogy
A young Mathematics Genealogy client spending its first four releases satisfying CRAN.
See all glydraw alternatives → · See all sdsfun alternatives →
Recent activity from glydraw and sdsfun
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agoglydrawRendering options consolidated into a single style object
- 23d agoglydrawGlycan cartoons become ggplot2 geoms, legends and axis labels ⚡
- 1mo agoglydrawNested side-chain layout preserves residue order and linkage labels
- 1mo agoglydrawFucose triangle geometry aligned to rectangle node bounds
- 1mo agoglydrawCustom colours, fucose orientation and export scaling; glyexp dependency dropped
- 1mo agoglydrawSwitches to SNFG standard colours
- 10mo agosdsfunPackage load stops touching the RNG state
- 1y agosdsfunUnified partial correlation testing and head/tails discretization
- 1y agosdsfunMissing-value handling added to linear trend removal
- 1y agosdsfunCovariate-based detrending and long-to-matrix spatial reshaping
- 1y agosdsfunSpatially constrained hierarchical clustering and SPADE estimation
- 1y agosdsfunFast geodetector q-value estimator added
Frequently asked questions
What is the difference between glydraw and sdsfun?
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.
Is glydraw better than sdsfun?
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.
What are the best alternatives to glydraw?
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.
What are the best alternatives to sdsfun?
Top sdsfun alternatives in Analytics are ranked by recent ship velocity. Browse the "sdsfun alternatives" section above for the current picks, or visit /alternatives/sdsfun for the full list with editorial commentary on each.