rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
Comparison · Analytics
CatastRo vs ggstatsplot
A side-by-side editorial comparison of CatastRo and ggstatsplot — release velocity, themes, recent moves, and the top alternatives to consider.
CatastRo vs ggstatsplot: at a glance
What is CatastRo?
Spain's cadastre client spent 1.0.0 breaking its own cache to become a tidy, httr2-native package.
CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.
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.
CatastRo vs ggstatsplot: editorial side-by-side
CatastRo
0.0ANALYTICS
Spain's cadastre client spent 1.0.0 breaking its own cache to become a tidy, httr2-native package.
◆ Current state
CatastRo pulls parcels, buildings, addresses and WMS map layers from the Spanish Cadastre into R. The 1.0.0 line rebuilt the codebase on httr2, reorganized the cache into topic-based subfolders and moved persistent storage from rappdirs to tools::R_user_dir(), a change that invalidates every pre-1.0.0 cache. The two releases since are documentation and an AI-assisted internal refactor.
◆ Where it's heading
The arc is consolidation, not expansion: the retrieval surface has been stable since 0.3.0 added street names to addresses, while the maintainer has spent the releases since standardizing transport, output types and messaging. All functions now return tibbles or sf objects with tibble data, and cli handles user-facing output. The same modernization is being applied across the maintainer's other Spanish-data packages.
◆ Prediction
Expect the next releases to stay in the 1.0.x patch range — documentation, cli wording and CRAN upkeep — unless the Cadastre publishes a new service worth wrapping.
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 CatastRo 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 CatastRo 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 CatastRo alternatives → · See all ggstatsplot alternatives →
Recent activity from CatastRo and ggstatsplot
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoCatastRoAI-assisted internal refactor and cli message pass
- 3mo agoCatastRoDocumentation-only patch release
- 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
- 4mo agoggstatsplotInternal maintenance only
- 5mo agoCatastRo1.0.0 rebuilds on httr2 and invalidates every existing cache ⚡
- 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
- 8mo agoggstatsplotContributor list updated in DESCRIPTION
- 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
- 11mo agoggstatsplotAdapted to the latest ggplot2 release
- 1y agoCatastRoDocumentation and URL refresh
- 2y agoCatastRoCadastre service entry points updated
- 2y agoCatastRohttr to httr2 migration, declared invisible to users
Frequently asked questions
What is the difference between CatastRo and ggstatsplot?
They serve adjacent needs but don't currently overlap on shipped themes. CatastRo 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 CatastRo better than ggstatsplot?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CatastRo 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 CatastRo?
Top CatastRo alternatives in Analytics are ranked by recent ship velocity. Browse the "CatastRo alternatives" section above for the current picks, or visit /alternatives/catastro 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.