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The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of austraits and vellumplot — release velocity, themes, recent moves, and the top alternatives to consider.
The R client for AusTraits spends its releases chasing the dataset it reads.
austraits is the R access layer for the AusTraits plant trait database, and its release history is almost entirely a record of keeping pace with two upstream systems it does not control: the austraits.build data releases and the Zenodo archive that hosts them. The most recent release adds a version-dispatch layer so the same package can read both v4.x and v5.0.0 data. Three of the four visible tags were backfilled to GitHub within 23 minutes of each other, so version order and publication order do not agree.
vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.
A new grammar of graphics built on the vellum vector engine, developing fast — ten releases in roughly three weeks — and now at its first tagged release. The distinguishing architectural claim is that the compiled plot is the scene, so a static export and an interactive widget cannot drift apart, and that it renders without a graphics device because vellum measures text itself. Accessibility is treated as a first-class output rather than an afterthought: tagged PDF with a navigable structure tree and alt text, a plot_lint() check, and colour-vision-deficiency simulation at render time.
austraits is the R access layer for the AusTraits plant trait database, and its release history is almost entirely a record of keeping pace with two upstream systems it does not control: the austraits.build data releases and the Zenodo archive that hosts them. The most recent release adds a version-dispatch layer so the same package can read both v4.x and v5.0.0 data. Three of the four visible tags were backfilled to GitHub within 23 minutes of each other, so version order and publication order do not agree.
The package is converging on a stable public vocabulary and a versioned internal. Sites became locations across every join, plot and extract function; the extract_ and print family filled out at 1.0.0; and by 2.2.2 the core functions each carry a switch on the detected data version rather than assuming one schema. The visible cost of that is dependency churn — plotting packages moved to Suggests, which the notes admit can leave core functions unable to run.
Given that every release so far has been triggered by an upstream austraits.build or Zenodo change, the next one most likely follows the next data release rather than any independent roadmap. The entries do not indicate new analysis capability being planned in the client itself.
A new grammar of graphics built on the vellum vector engine, developing fast — ten releases in roughly three weeks — and now at its first tagged release. The distinguishing architectural claim is that the compiled plot is the scene, so a static export and an interactive widget cannot drift apart, and that it renders without a graphics device because vellum measures text itself. Accessibility is treated as a first-class output rather than an afterthought: tagged PDF with a navigable structure tree and alt text, a plot_lint() check, and colour-vision-deficiency simulation at render time.
The release sequence shows a grammar filling in ggplot2-parity features and specialist marks in parallel. Parity work landed as secondary axes, rich legend titles, and Sankey styling; the specialist end added categorical datashading, image marks, flow maps and edge bundling for dense graphs. Version 0.7.0 shows a willingness to break early — vsunburst() was removed outright in favour of one vhierarchy() constructor covering sunburst, icicle, treemap and circlepack — which is the right time to do it and suggests the API is still being consolidated toward fewer, more general constructors.
Expect more consolidation of near-duplicate constructors under type arguments and continued expansion of the declarative interactivity introduced in 0.7.0, now that the first tagged release has fixed a public API surface.
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 austraits or vellumplot.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all austraits alternatives → · See all vellumplot alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. vellumplot 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. vellumplot 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 austraits alternatives in Analytics are ranked by recent ship velocity. Browse the "austraits alternatives" section above for the current picks, or visit /alternatives/austraits-r for the full list with editorial commentary on each.
Top vellumplot alternatives in Analytics are ranked by recent ship velocity. Browse the "vellumplot alternatives" section above for the current picks, or visit /alternatives/vellumplot for the full list with editorial commentary on each.