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Comparison · Infra & APIs

forestploter vs ggdist

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

Shared themes:data-visualizationr-package

forestploter vs ggdist: at a glance

Featureforestploterggdist
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, clinical-trials, forest-plots, meta-analysisdata-visualization, uncertainty, bayesian-statistics, ggplot2
Last editorial update1h ago1d ago
WebsiteVisit →Visit →

What is forestploter?

A forest plot package that keeps handing users control of one more graphical detail.

forestploter draws forest plots where the layout is driven by the data frame itself, so text columns and confidence intervals sit in the same grid. The theme function has become the package's centre of gravity: it now controls graphical parameters for titles, legends, axis, arrow labels, footnotes, and reference lines, with multi-column and row-order legend controls added most recently. Two releases shipped nine minutes apart in April 2026 after a two-year gap, deprecating some theme parameters, removing inter-cell gaps, and improving tick breaks.

Read the full forestploter trajectory →

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 →

forestploter vs ggdist: editorial side-by-side

F
forestploter
INFRA · APIS
0.0

A forest plot package that keeps handing users control of one more graphical detail.

◆ Current state

forestploter draws forest plots where the layout is driven by the data frame itself, so text columns and confidence intervals sit in the same grid. The theme function has become the package's centre of gravity: it now controls graphical parameters for titles, legends, axis, arrow labels, footnotes, and reference lines, with multi-column and row-order legend controls added most recently. Two releases shipped nine minutes apart in April 2026 after a two-year gap, deprecating some theme parameters, removing inter-cell gaps, and improving tick breaks.

◆ Where it's heading

The direction has been consistent for four years: whatever a user might want to restyle eventually becomes an argument. Point size stopped being transformed, cell height adjustment was removed as unwanted, legends gained size, column, and fill-order control, and vertical lines learned to extend the full plot height and to draw beneath the whiskers. The one structural move was 1.1.0, which let callers supply their own confidence-interval and summary drawing functions — turning a fixed renderer into an extensible one. Everything since has been the arguments that extensibility did not cover.

◆ Prediction

The latest release deprecates theme parameters rather than adding them, which suggests the next one consolidates the theme surface that has grown for four years rather than extending it further.

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.

Alternatives to forestploter and ggdist

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 forestploter or ggdist.

See all forestploter alternatives → · See all ggdist alternatives →

Recent activity from forestploter and ggdist

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

  1. 3mo agoforestploterTheme parameters deprecated; cell gaps removed, ticks improved
  2. 3mo agoforestploterMulti-column legends and full-height vertical lines
  3. 1y agoggdistPer-geometry thickness subscales and settable defaults
  4. 2y agoforestploterFull graphical control over titles, legends, axis and footnotes
  5. 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator
  6. 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
  7. 2y agoforestploterTick digit calculation improved; automatic cell height removed
  8. 3y agoggdistBounded density becomes the default; existing charts change
  9. 3y agoforestploterCustom CI and summary drawing functions; boxplots inside the plot
  10. 3y agoforestploterArbitrary grobs and math symbols can be placed in cells
  11. 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
  12. 4y agoggdistComputed variables shared across sub-geometries

Frequently asked questions

What is the difference between forestploter and ggdist?

Both compete on the same themes — data-visualization, r-package — within Infra & APIs. forestploter and ggdist 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 forestploter better than ggdist?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. forestploter and ggdist 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 forestploter?

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

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.