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Comparison · Infra & APIs

forestploter vs gkwdist

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

Shared themes:r-package

forestploter vs gkwdist: at a glance

Featureforestplotergkwdist
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesdata-visualization, clinical-trials, forest-plots, meta-analysisr-package, statistical-distributions, numerical-stability, mle
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 gkwdist?

gkwdist keeps finding that its distributions were returning the wrong numbers.

The package implements the Generalized Kumaraswamy distribution family and its sub-families. The current release fixes six numerical defects, the most serious being that dgkw() returned zero for every input because internal helpers collided with same-named functions in R's public Rmath.h header. Log-likelihoods for three sub-families were also wrong for data near zero due to clamping instead of working in log space.

Read the full gkwdist trajectory →

forestploter vs gkwdist: 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
gkwdist
INFRA · APIS
2.5

gkwdist keeps finding that its distributions were returning the wrong numbers.

◆ Current state

The package implements the Generalized Kumaraswamy distribution family and its sub-families. The current release fixes six numerical defects, the most serious being that dgkw() returned zero for every input because internal helpers collided with same-named functions in R's public Rmath.h header. Log-likelihoods for three sub-families were also wrong for data near zero due to clamping instead of working in log space.

◆ Where it's heading

Every release in this window is correctness work with an unchanged public API — critical MLE fixes in 1.1.3, a CRAN timing-test patch in 1.1.4, numerical corrections in 1.1.5. The recurring theme is that analytically correct formulas were being defeated by implementation details: name collisions, sign errors returning negative infinity where positive was required, and clamping thresholds that destroyed precision in the tails. Test infrastructure added in 1.1.2 validates analytical derivatives against numerical differentiation, which is how several of these were caught.

◆ Prediction

Expect further validation-driven fixes rather than new distributions, since the derivative-checking suite added earlier is still surfacing defects in existing routines.

Alternatives to forestploter and gkwdist

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 gkwdist.

See all forestploter alternatives → · See all gkwdist alternatives →

Recent activity from forestploter and gkwdist

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

  1. 7d agogkwdistv1.1.5 — Numerical correctness fixes and componentwise derivative validation
  2. 2mo agogkwdistv1.1.4 — CRAN fix: skip timing-based tests on CRAN
  3. 3mo agogkwdistv1.1.3 — Critical MLE Bug Fixes & Numerical Corrections
  4. 3mo agoforestploterTheme parameters deprecated; cell gaps removed, ticks improved
  5. 3mo agoforestploterMulti-column legends and full-height vertical lines
  6. 7mo agogkwdistAdds analytical derivative validation across all sub-families
  7. 8mo agogkwdistRefactors the C++ backend around stable log-space utilities
  8. 2y agoforestploterFull graphical control over titles, legends, axis and footnotes
  9. 2y agoforestploterTick digit calculation improved; automatic cell height removed
  10. 3y agoforestploterCustom CI and summary drawing functions; boxplots inside the plot
  11. 3y agoforestploterArbitrary grobs and math symbols can be placed in cells

Frequently asked questions

What is the difference between forestploter and gkwdist?

Both compete on the same themes — r-package — within Infra & APIs. gkwdist is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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 forestploter better than gkwdist?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gkwdist is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 gkwdist?

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