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CatastRoNav vs ggstatsplot

A side-by-side editorial comparison of CatastRoNav and ggstatsplot — release velocity, themes, recent moves, and the top alternatives to consider.

CatastRoNav vs ggstatsplot: at a glance

FeatureCatastRoNavggstatsplot
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesspatial-data, open-government-data, spain, wmsstatistical-plots, ggplot2, contingency-tables, hypothesis-testing
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is CatastRoNav?

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.

Read the full CatastRoNav trajectory →

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.

Read the full ggstatsplot trajectory →

CatastRoNav vs ggstatsplot: editorial side-by-side

C
CatastRoNav
ANALYTICS
0.0

Navarre's cadastre client finally reaches feature parity with its bigger Spanish sibling.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

Expect the next releases to track new Navarre service endpoints as they are published, and to inherit whatever maintenance pattern CatastRo adopts next.

G
ggstatsplot
ANALYTICS
0.0

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 CatastRoNav 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 CatastRoNav or ggstatsplot.

See all CatastRoNav alternatives → · See all ggstatsplot alternatives →

Recent activity from CatastRoNav and ggstatsplot

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoCatastRoNavBuildings, addresses and WMS layers arrive in 1.0.0
  2. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  3. 4mo agoggstatsplotInternal maintenance only
  4. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  5. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  6. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  7. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  8. 2y agoCatastRoNavATOM parcel retrieval and a caching system
  9. 3y agoCatastRoNavGeometry validity fix for returned sf objects
  10. 3y agoCatastRoNavFirst release opens the Navarre cadastre to R

Frequently asked questions

What is the difference between CatastRoNav and ggstatsplot?

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.

Is CatastRoNav better than ggstatsplot?

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.

What are the best alternatives to CatastRoNav?

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.

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.