rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
A side-by-side editorial comparison of CatastRoNav and ggstatsplot — release velocity, themes, recent moves, and the top alternatives to consider.
Navarre's cadastre client finally reaches feature parity with its bigger Spanish sibling.
CatastRoNav wraps the Cadastre of Navarre, a Spanish region that publishes its own cadastral services separately from the national system. Until 1.0.0 the package could only fetch cadastral parcels via ATOM; it now retrieves buildings and addresses through ATOM as well and adds WMS INSPIRE layer access through catrnav_wms_get_layer(). The same release relicenses to GPL-2, moves requests to httr2 with retries and switches messaging to cli.
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.
CatastRoNav wraps the Cadastre of Navarre, a Spanish region that publishes its own cadastral services separately from the national system. Until 1.0.0 the package could only fetch cadastral parcels via ATOM; it now retrieves buildings and addresses through ATOM as well and adds WMS INSPIRE layer access through catrnav_wms_get_layer(). The same release relicenses to GPL-2, moves requests to httr2 with retries and switches messaging to cli.
The package is being pulled into line with CatastRo, the maintainer's national-cadastre client: same transport, same UTF-8 normalization strategy, same option names falling back to the CatastRo equivalents. Coverage has been gated by what the Navarre Cadastre actually publishes — 0.1.0 said outright that further ATOM capabilities would arrive when the regional service made them available, and 1.0.0 is that promise landing.
Expect the next releases to track new Navarre service endpoints as they are published, and to inherit whatever maintenance pattern CatastRo adopts next.
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.
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 CatastRoNav or ggstatsplot.
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 CatastRoNav alternatives → · See all ggstatsplot alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. CatastRoNav 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CatastRoNav 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.
Top CatastRoNav alternatives in Analytics are ranked by recent ship velocity. Browse the "CatastRoNav alternatives" section above for the current picks, or visit /alternatives/catastronav for the full list with editorial commentary on each.
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.