← Back to home
Comparison · Analytics

errors vs vellumplot

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

errors vs vellumplot: at a glance

Featureerrorsvellumplot
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themesuncertainty-propagation, measurement, r-quantities, formattingr-graphics, grammar-of-graphics, accessibility, data-visualization
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors 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 →

errors vs vellumplot: editorial side-by-side

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

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 errors 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 errors or vellumplot.

See all errors alternatives → · See all vellumplot alternatives →

Recent activity from errors 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 agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  8. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  9. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  10. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  11. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  12. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between errors 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 errors 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 errors?

Top errors alternatives in Analytics are ranked by recent ship velocity. Browse the "errors alternatives" section above for the current picks, or visit /alternatives/errors-r 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.