rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
deeptime vs ggstatsplot
A side-by-side editorial comparison of deeptime and ggstatsplot — release velocity, themes, recent moves, and the top alternatives to consider.
deeptime vs ggstatsplot: at a glance
What is deeptime?
A geologic-time plotting layer that outgrew time axes and became a geology rendering toolkit.
deeptime extends ggplot2 with geological time scales, radial deep-time coordinates and phylogeny-aware geoms, and since 2.0.0 it also renders standardized FGDC/USGS geologic patterns as ggplot2 fills. The current 2.4.0 release adds geom_text_clade() for labeling clades on radial phylogenies and repairs long-standing coord_trans_xy() and scale-placement edge cases.
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.
deeptime vs ggstatsplot: editorial side-by-side
deeptime
0.0ANALYTICS
A geologic-time plotting layer that outgrew time axes and became a geology rendering toolkit.
◆ Current state
deeptime extends ggplot2 with geological time scales, radial deep-time coordinates and phylogeny-aware geoms, and since 2.0.0 it also renders standardized FGDC/USGS geologic patterns as ggplot2 fills. The current 2.4.0 release adds geom_text_clade() for labeling clades on radial phylogenies and repairs long-standing coord_trans_xy() and scale-placement edge cases.
◆ Where it's heading
The package is converging on two jobs: being the canonical R renderer for stratigraphic drawing conventions, and keeping pace with ggplot2's own churn. A sustained deprecation program — gggeo_scale(), coord_geo_polar(), getScaleData(), now disparity_through_time() — is trimming the surface down to coord_geo(), coord_geo_radial() and the pattern functions. Roughly half of each recent release is ggplot2 4.0 compatibility work.
◆ Prediction
Expect disparity_through_time() and coord_geo_polar() to be removed outright in the next major version, and further geoms aimed at annotating radial phylogenies.
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.
Alternatives to deeptime and ggstatsplot
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 deeptime or ggstatsplot.
audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
See all deeptime alternatives → · See all ggstatsplot alternatives →
Recent activity from deeptime and ggstatsplot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodeeptimegeom_text_clade() labels clades on radial phylogenies
- 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
- 4mo agoggstatsplotInternal maintenance only
- 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
- 8mo agoggstatsplotContributor list updated in DESCRIPTION
- 8mo agodeeptimeArgument renames for ggplot2 4.0 parity
- 8mo agodeeptimePattern code dictionary and time-scale theming
- 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
- 11mo agoggstatsplotAdapted to the latest ggplot2 release
- 1y agodeeptimegeom_text_phylo() arrives with ggplot2 4 compatibility
- 1y agodeeptimeContrast-aware label colors across the built-in scales
- 1y agodeeptimeFGDC geologic patterns become ggplot2 fills ⚡
Frequently asked questions
What is the difference between deeptime and ggstatsplot?
They serve adjacent needs but don't currently overlap on shipped themes. deeptime and ggstatsplot 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 deeptime better than ggstatsplot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. deeptime and ggstatsplot 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 deeptime?
Top deeptime alternatives in Analytics are ranked by recent ship velocity. Browse the "deeptime alternatives" section above for the current picks, or visit /alternatives/deeptime-r for the full list with editorial commentary on each.
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.