gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
Comparison · Analytics
ggstatsplot vs trias
A side-by-side editorial comparison of ggstatsplot and trias — release velocity, themes, recent moves, and the top alternatives to consider.
ggstatsplot vs trias: at a glance
What is ggstatsplot?
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.
What is trias?
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
trias computes and visualizes indicators for the Belgian Tracking Invasive Alien Species project — emergence detection via GAMs, introduction pathway breakdowns following CBD categories, and native range trends. The recent releases are narrow: GAM plots can now be produced without textual annotation when the model cannot be fitted, and apply_decision_rules() no longer supplies a default for a required argument.
ggstatsplot vs trias: editorial side-by-side
ggstatsplot
0.0ANALYTICS
ggstatsplot reached 1.0 by adding tests, having outsourced its statistics years ago.
◆ Current state
ggstatsplot produces ggplot2 graphics with statistical test results embedded in the subtitle and caption — comparisons, correlations, contingency tables, histograms. Since the 2019 refactoring that moved all statistical computation into the separate statsExpressions package, its own release notes have been dominated by upstream tracking: adapting to ggplot2, dplyr, purrr and easystats changes. The 1.0.0 release in April 2026 breaks that run with real additions to the contingency-table functions.
◆ Where it's heading
The architecture explains the cadence. With statistics living in statsExpressions, ggstatsplot's own releases are mostly the tax of sitting on top of a fast-moving plotting and tidyverse stack — five of the six most recent entries change nothing a user would notice. When substantive work does arrive it clusters in the plotting layer's coverage of test families, as in 1.0.0's one-sample goodness-of-fit support and pairwise contingency analyses. The maintainer is also visibly deliberate about scope, having removed the normality-curve overlay in 0.12.4 for being unrelated to the analysis in question.
◆ Prediction
Expect continued parity work across the plot family — features that exist in one function being extended to its siblings, as goodness-of-fit support moved from ggpiestats to ggbarstats — punctuated by maintenance releases tracking ggplot2 and easystats.
trias
0.0ANALYTICS
Belgium's invasive-species indicator toolkit is in steady refinement, one plotting edge case at a time.
◆ Current state
trias computes and visualizes indicators for the Belgian Tracking Invasive Alien Species project — emergence detection via GAMs, introduction pathway breakdowns following CBD categories, and native range trends. The recent releases are narrow: GAM plots can now be produced without textual annotation when the model cannot be fitted, and apply_decision_rules() no longer supplies a default for a required argument.
◆ Where it's heading
Development runs in small, fast patches concentrated on making the indicator functions survive imperfect real-world input — pathways absent from the data, GAMs that will not converge, checklist files with unexpected columns. A second thread trims the package's own surface in favor of the data it ships, deprecating pathways_cbd() in favor of using the pathwayscbd data frame directly, while get_nubkeys() extends reach into GBIF Backbone taxon key resolution.
◆ Prediction
Expect continued patch-level hardening of the visualization functions and further reliance on GBIF services for taxon resolution, with no sign of a structural change to the indicator set.
Alternatives to ggstatsplot and trias
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 ggstatsplot or trias.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
ardlverse
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
weird
weird rebuilt itself on distributional objects, and now the anomaly tooling composes with everything else.
distributions3
distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
mizer
After two and a half years dormant, mizer shipped three major versions in seven weeks.
See all ggstatsplot alternatives → · See all trias alternatives →
Recent activity from ggstatsplot and trias
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
- 3mo agotriasGAM plots survive models that cannot be fitted
- 4mo agoggstatsplotInternal maintenance only
- 5mo agotriasColumn validation added to the download list update
- 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
- 6mo agotriasY-axis tick values corrected in pathway plots
- 6mo agotriasZenodo integration patch removes the DOI badge
- 6mo agotriasget_nubkeys() resolves GBIF Backbone taxon keys
- 6mo agotriaspathways_cbd() deprecated in favor of its data frame
- 8mo agoggstatsplotContributor list updated in DESCRIPTION
- 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
- 11mo agoggstatsplotAdapted to the latest ggplot2 release
Frequently asked questions
What is the difference between ggstatsplot and trias?
They serve adjacent needs but don't currently overlap on shipped themes. ggstatsplot and trias 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 ggstatsplot better than trias?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstatsplot and trias 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 ggstatsplot?
Top ggstatsplot alternatives in Analytics are ranked by recent ship velocity. Browse the "ggstatsplot alternatives" section above for the current picks, or visit /alternatives/ggstatsplot for the full list with editorial commentary on each.
What are the best alternatives to trias?
Top trias alternatives in Analytics are ranked by recent ship velocity. Browse the "trias alternatives" section above for the current picks, or visit /alternatives/trias-r for the full list with editorial commentary on each.