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fastrg vs glydraw

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

fastrg vs glydraw: at a glance

Featurefastrgglydraw
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesrandom-graphs, stochastic-blockmodels, network-sampling, sparse-matricesglycomics, data-visualization, ggplot2, snfg
Last editorial update49m ago1d ago
WebsiteVisit →Visit →

What is fastrg?

A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.

fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.

Read the full fastrg trajectory →

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.

Read the full glydraw trajectory →

fastrg vs glydraw: editorial side-by-side

F
fastrg
ANALYTICS
0.0

A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.

◆ Current state

fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.

◆ Where it's heading

The package's development has been about semantic correctness more than speed. The 0.3.1 release moved edge-distribution arguments to the constructors and reinterpreted the mixing matrix S under Bernoulli parameterisation; 0.3.2 then flipped the meaning of X and Y in directed blockmodels so outgoing and incoming factors match the edge convention, and made block sorting conditional rather than unconditional. Both are corrections to what returned values mean, not to how fast they arrive. The 2025 release is CRAN documentation linking only.

◆ Prediction

With parameterisation settled and only a documentation release since 2023, the package reads as feature-complete for its sampling families. Nothing in the entries points to additional model types being queued.

G
glydraw
ANALYTICS
6.3

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.

Alternatives to fastrg and glydraw

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 fastrg or glydraw.

See all fastrg alternatives → · See all glydraw alternatives →

Recent activity from fastrg and glydraw

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

  1. 15d agoglydrawRendering options consolidated into a single style object
  2. 23d agoglydrawGlycan cartoons become ggplot2 geoms, legends and axis labels
  3. 1mo agoglydrawNested side-chain layout preserves residue order and linkage labels
  4. 1mo agoglydrawFucose triangle geometry aligned to rectangle node bounds
  5. 1mo agoglydrawCustom colours, fucose orientation and export scaling; glyexp dependency dropped
  6. 1mo agoglydrawSwitches to SNFG standard colours
  7. 1y agofastrgDocumentation cross-linking fixes for CRAN
  8. 2y agofastrgDirected blockmodel X and Y factors swapped to match edge direction
  9. 4y agofastrgfastRG 0.3.1

Frequently asked questions

What is the difference between fastrg and glydraw?

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 fastrg better than glydraw?

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 fastrg?

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

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.