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ggguides vs revdbayes

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

ggguides vs revdbayes: at a glance

Featureggguidesrevdbayes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, legends, r-package, bugfix-trainextreme-value-theory, bayesian, rcpp, cran-compliance
Last editorial update46m ago43m ago
WebsiteVisit →Visit →

What is ggguides?

Three releases in one day to make legend positioning finally do what the docs said.

ggguides is a helper layer over ggplot2's guide system, exposing legend placement and styling through small named functions instead of raw theme() calls. On 23 April 2026 it shipped 1.1.7, 1.1.8 and 1.1.9 within thirteen hours, each fixing a different path by which the justification argument silently did nothing. The common root cause is that ggplot2 3.5 split legend.justification into side-specific theme elements, and ggguides was still writing to the generic fallback.

Read the full ggguides trajectory →

What is revdbayes?

Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.

revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.

Read the full revdbayes trajectory →

ggguides vs revdbayes: editorial side-by-side

G
ggguides
ANALYTICS
0.0

Three releases in one day to make legend positioning finally do what the docs said.

◆ Current state

ggguides is a helper layer over ggplot2's guide system, exposing legend placement and styling through small named functions instead of raw theme() calls. On 23 April 2026 it shipped 1.1.7, 1.1.8 and 1.1.9 within thirteen hours, each fixing a different path by which the justification argument silently did nothing. The common root cause is that ggplot2 3.5 split legend.justification into side-specific theme elements, and ggguides was still writing to the generic fallback.

◆ Where it's heading

The package is in the phase where a wrapper meets the reality of the API it wraps. All three same-day releases are the same bug found in successive entry points: legend_inside(), then the four side functions, then legend_style(by = ). Along the way the fix work produced a real feature, a justification argument on the side legend functions. The pattern of a single reporter driving three consecutive releases suggests the surface is being audited rather than randomly patched.

◆ Prediction

Expect a consolidation release that audits the remaining theme elements ggguides writes to against ggplot2 3.5 semantics, rather than another single-path fix.

R
revdbayes
ANALYTICS
0.0

Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.

◆ Current state

revdbayes performs Bayesian extreme value analysis using ratio-of-uniforms sampling, giving random samples rather than MCMC chains. Every entry in the visible window is filed under bug fixes and minor improvements. The most recent, 1.5.7, strips missing values before fitting the generalised Pareto MLE; the two before it are an Rcpp compatibility patch and a response to CRAN check failures that turned out to be false positives.

◆ Where it's heading

The methods are settled and the release traffic is external: Rcpp issues, CRAN platform checks, documentation anchor requirements. Two of the six releases exist only because CRAN's check farm flagged something, and one of those flags resolved itself. Sibling package profileCI from the same maintainer has been more active, which suggests attention has moved to newer work rather than away from R entirely.

◆ Prediction

Expect further small releases driven by Rcpp or CRAN check changes rather than by the sampling methods.

Alternatives to ggguides and revdbayes

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 ggguides or revdbayes.

See all ggguides alternatives → · See all revdbayes alternatives →

Recent activity from ggguides and revdbayes

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

  1. 3mo agoggguideslegend_style(by=) justification now reaches the whole-plot theme
  2. 3mo agoggguidesSide legend functions gain justification and target the right theme element
  3. 3mo agoggguideslegend_inside() justification now moves the legend as documented
  4. 4mo agorevdbayesMissing values now removed before generalised Pareto MLE fitting
  5. 7mo agorevdbayesRcpp patch applied to avoid masking Rf_error()
  6. 7mo agorevdbayesPatch for macOS CRAN check errors that proved to be false positives
  7. 8mo agoggguidesLegend reordering, key overrides and colorbar styling added
  8. 2y agorevdbayesArgument documentation corrected; Rd link anchors fixed
  9. 2y agorevdbayesRcpp warning fix plus Rd itemize corrections
  10. 2y agorevdbayesC++11 specification dropped to clear a CRAN note

Frequently asked questions

What is the difference between ggguides and revdbayes?

They serve adjacent needs but don't currently overlap on shipped themes. ggguides and revdbayes 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 ggguides better than revdbayes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggguides and revdbayes 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 Analytics products to evaluate alongside.

What are the best alternatives to ggguides?

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

What are the best alternatives to revdbayes?

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