rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
A side-by-side editorial comparison of ggstatsplot and tidyterra — release velocity, themes, recent moves, and the top alternatives to consider.
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.
tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.
tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.
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.
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.
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.
tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.
The package is converging on complete verb coverage rather than branching into new capability. 1.2.0 landed the grouping and nesting family — group_split, group_nest, nest_by, nest, nest_join, group_map, group_modify, reframe, cross_join, complete, expand — which is the last large gap between SpatVector and an ordinary data frame. Its cadence is set externally: releases track ggplot2 and dplyr version transitions, adopting arguments like .by as they stabilize upstream. The maintainer now states AI assistance explicitly for both documentation and generated methods.
With the verb surface close to complete, expect the next releases to track upstream ggplot2 and dplyr changes and to extend coverage to SpatRaster where methods currently exist only for SpatVector.
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 tidyterra.
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all ggstatsplot alternatives → · See all tidyterra alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — ggplot2, r-package — within Analytics. ggstatsplot and tidyterra 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstatsplot and tidyterra 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.
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.
Top tidyterra alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyterra alternatives" section above for the current picks, or visit /alternatives/tidyterra for the full list with editorial commentary on each.