gghighlight
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
Comparison · Analytics
glydraw vs TidyDensity
A side-by-side editorial comparison of glydraw and TidyDensity — release velocity, themes, recent moves, and the top alternatives to consider.
glydraw vs TidyDensity: 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 TidyDensity?
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
glydraw vs TidyDensity: 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.
TidyDensity
0.0ANALYTICS
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
◆ Current state
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
◆ Where it's heading
The package is filling out a matrix rather than changing shape — every new distribution gets the same four or five companion functions, so the surface grows predictably and the design does not. What variation exists comes from utilities that work across distributions: MCMC sampling, bootstrap helpers, time series conversion, distribution comparison. The two genuine breaking changes in this window were both internal reworks, moving generation onto data.table and rewriting quantile normalization for speed.
◆ Prediction
The established pattern of adding a distribution with its full helper set is the most likely continuation. Recent releases have been small, suggesting the catalogue is approaching the distributions its author considers worth covering.
Alternatives to glydraw and TidyDensity
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 TidyDensity.
rtrek
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
eiaapi
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
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.
See all glydraw alternatives → · See all TidyDensity alternatives →
Recent activity from glydraw and TidyDensity
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
- 11mo agoTidyDensityquantile_normalize rewritten, changing its output
- 1y agoTidyDensityDocumentation corrections for two distribution functions
- 2y agoTidyDensityZero-truncated distributions and AIC helpers added in bulk
- 2y agoTidyDensityMCMC sampling and quantile normalization join the utilities
- 2y agoTidyDensityGeneration moves to data.table; native pipe raises the R floor
- 2y agoTidyDensityDistributions convertible to time series objects
Frequently asked questions
What is the difference between glydraw and TidyDensity?
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 TidyDensity?
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 TidyDensity?
Top TidyDensity alternatives in Analytics are ranked by recent ship velocity. Browse the "TidyDensity alternatives" section above for the current picks, or visit /alternatives/tidydensity for the full list with editorial commentary on each.