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paleobuddy vs vellumplot

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

paleobuddy vs vellumplot: at a glance

Featurepaleobuddyvellumplot
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesphylogenetics, diversification, fossil-record, simulationr-graphics, grammar-of-graphics, accessibility, data-visualization
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is paleobuddy?

paleobuddy can now simulate trait-dependent diversification, not just birth-death.

paleobuddy simulates diversification, fossil records and phylogenetic trees, with rates that can be arbitrary functions of time — its founding idea, implemented through rexp.var() generalizing exponential and Weibull draws. The 1.1.0 release adds state-dependent speciation and extinction simulation at roughly MuHiSSE generality, and lets simulations stop at a target number of extant species instead of conditioning on time.

Read the full paleobuddy trajectory →

What is vellumplot?

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.

Read the full vellumplot trajectory →

paleobuddy vs vellumplot: editorial side-by-side

P
paleobuddy
ANALYTICS
0.0

paleobuddy can now simulate trait-dependent diversification, not just birth-death.

◆ Current state

paleobuddy simulates diversification, fossil records and phylogenetic trees, with rates that can be arbitrary functions of time — its founding idea, implemented through rexp.var() generalizing exponential and Weibull draws. The 1.1.0 release adds state-dependent speciation and extinction simulation at roughly MuHiSSE generality, and lets simulations stop at a target number of extant species instead of conditioning on time.

◆ Where it's heading

Releases track the maintainer's publications rather than a product cadence — 1.0.0 accompanied the MEE manuscript, 1.0.0.1 exists purely as a Zenodo citation anchor, and 1.1.0 is stated as going with a paper on SSE model accuracy for trees including fossil data. That framing sets the direction: the package grows whichever capability the next study needs to test. The stated SSE limits, no quantitative traits and no cladogenetic transitions, mark exactly where that boundary currently sits.

◆ Prediction

Quantitative traits and cladogenetic transitions are named as missing, which makes them the obvious next targets, though on this history the timing will follow a paper rather than a roadmap.

V
vellumplot
ANALYTICS
6.3

vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to paleobuddy and vellumplot

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 paleobuddy or vellumplot.

See all paleobuddy alternatives → · See all vellumplot alternatives →

Recent activity from paleobuddy and vellumplot

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

  1. 14d agovellumplotFirst tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget
  2. 19d agovellumplotFlow maps and edge bundling for dense graph plots
  3. 25d agovellumplotvhierarchy() replaces vsunburst(); declarative interactivity arrives
  4. 26d agovellumplotSankey crossing minimisation and per-branch sunburst colouring
  5. 1mo agovellumplotSecondary axes land; rich legend titles stop clipping
  6. 1mo agovellumplotCategorical datashading in one call, plus image marks at data points
  7. 1y agopaleobuddypaleobuddy 1.1.0 adds SSE trait-dependent simulation
  8. 3y agopaleobuddypaleobuddy 1.0.0.1: Zenodo citation release
  9. 4y agopaleobuddypaleobuddy 1.0.0: first release with time-varying rates

Frequently asked questions

What is the difference between paleobuddy and vellumplot?

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.

Is paleobuddy better than vellumplot?

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.

What are the best alternatives to paleobuddy?

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

What are the best alternatives to vellumplot?

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.