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Comparison · Infra & APIs

ggdist vs wooldridge

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

Shared themes:r-package

ggdist vs wooldridge: at a glance

Featureggdistwooldridge
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, uncertainty, bayesian-statistics, ggplot2econometrics, teaching-data, r-package, cran-maintenance
Last editorial update23h ago57m ago
WebsiteVisit →Visit →

What is ggdist?

The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.

ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.

Read the full ggdist trajectory →

What is wooldridge?

A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.

wooldridge ships the datasets from Wooldridge's Introductory Econometrics so students can load any of them with one command. The data has been essentially complete since the 7th-edition sets landed in 1.4-1; every release since has been about keeping the package on CRAN. The most recent tag exists only to re-run roxygen2 so that documentation URL fixes from the previous version actually reached the .Rd files.

Read the full wooldridge trajectory →

ggdist vs wooldridge: editorial side-by-side

G
ggdist
INFRA · APIS
0.0

The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.

◆ Current state

ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.

◆ Where it's heading

Two threads run in parallel and keep converging. One is statistical: pluggable density estimators arrived first, then became the default, then gained weights and quantile histograms. The other is compositional: sub-geometries acquired their own guides, then their own scales, so a slab's thickness axis is now a first-class annotated dimension. Cadence has stretched from twice-yearly to roughly annual, with the recent work tightening existing surface rather than opening new.

◆ Prediction

Subguides gained subscales a release later, so the remaining asymmetry is in the sub-geometry system rather than the statistics; expect the next release to continue that fill-in work.

W
wooldridge
INFRA · APIS
0.0

A textbook data package whose whole job is to stay installable, and whose releases prove how much work that is.

◆ Current state

wooldridge ships the datasets from Wooldridge's Introductory Econometrics so students can load any of them with one command. The data has been essentially complete since the 7th-edition sets landed in 1.4-1; every release since has been about keeping the package on CRAN. The most recent tag exists only to re-run roxygen2 so that documentation URL fixes from the previous version actually reached the .Rd files.

◆ Where it's heading

The maintainer has been systematically shrinking the package's attack surface for years. Dependencies used only for vignette examples were cut after one of them broke its API and triggered a CRAN removal notice; test infrastructure moved from testthat to tinytest and from Travis and AppVeyor to GitHub Actions; datasets were compressed by stripping attributes left over from the Stata imports. The stated goal, written into the 1.4-2 notes, is that this should be the easiest package the maintainer has to look after.

◆ Prediction

Nothing in the recent entries points to new data; the next release will most likely be triggered by another CRAN check failure or by a new edition of the textbook adding datasets.

Alternatives to ggdist and wooldridge

Other Infra & APIs 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 ggdist or wooldridge.

See all ggdist alternatives → · See all wooldridge alternatives →

Recent activity from ggdist and wooldridge

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

  1. 1mo agowooldridgeDocs re-compiled so the previous release's URL fixes take effect
  2. 1y agoggdistPer-geometry thickness subscales and settable defaults
  3. 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator
  4. 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
  5. 3y agoggdistBounded density becomes the default; existing charts change
  6. 3y agowooldridgeCI moved to GitHub Actions; live-data examples disabled
  7. 3y agowooldridgeDocumentation content and formatting pass
  8. 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
  9. 4y agoggdistComputed variables shared across sub-geometries
  10. 4y agowooldridgeFour 7th-edition datasets added; tests moved to tinytest
  11. 4y agowooldridgeVignette scope cut to drop heavy and API-unstable dependencies
  12. 7y agowooldridgeVignette repaired after an upstream API rename

Frequently asked questions

What is the difference between ggdist and wooldridge?

Both compete on the same themes — r-package — within Infra & APIs. ggdist and wooldridge are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ggdist better than wooldridge?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdist and wooldridge are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to ggdist?

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

What are the best alternatives to wooldridge?

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