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ggstatsplot vs mapSpain

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

Shared themes:r-package

ggstatsplot vs mapSpain: at a glance

FeatureggstatsplotmapSpain
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingspain, administrative-boundaries, geospatial, httr2
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is mapSpain?

mapSpain's 1.0.0 broke every user cache to get the package onto modern foundations.

mapSpain provides administrative boundaries, tile providers and geographic dictionaries for Spain, pulling from GISCO, SIANE, INE and IGN sources. The 1.0.0 release in January 2026 rebuilt it: requests moved to httr2, the cache reorganized into topic-based subfolders under tools::R_user_dir() instead of rappdirs, R 4.1 became the floor, and every function now returns tidy objects. Existing caches are explicitly incompatible and must be rebuilt.

Read the full mapSpain trajectory →

ggstatsplot vs mapSpain: editorial side-by-side

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.

M
mapSpain
ANALYTICS
0.0

mapSpain's 1.0.0 broke every user cache to get the package onto modern foundations.

◆ Current state

mapSpain provides administrative boundaries, tile providers and geographic dictionaries for Spain, pulling from GISCO, SIANE, INE and IGN sources. The 1.0.0 release in January 2026 rebuilt it: requests moved to httr2, the cache reorganized into topic-based subfolders under tools::R_user_dir() instead of rappdirs, R 4.1 became the floor, and every function now returns tidy objects. Existing caches are explicitly incompatible and must be rebuilt.

◆ Where it's heading

The package has finished its modernization and moved into consolidation. 1.1.0 added a configurable query timeout and pinned httr2 for compatibility with giscoR, the sibling package it shares plumbing with; 1.2.0 was a declared internal-only refactor with the public API held fixed and the work described as AI-assisted with human review. The data-source expansion that characterized the 0.9.x and 0.10.x line — comarcas by type, simplified INE geometries, SIANE vintages — has paused while the foundations settle.

◆ Prediction

Expect a return to source coverage now that the refactor is done: new SIANE or INE vintages and additional boundary types are the pattern this package has repeated. The entries show no further architectural work queued.

Alternatives to ggstatsplot and mapSpain

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 mapSpain.

See all ggstatsplot alternatives → · See all mapSpain alternatives →

Recent activity from ggstatsplot and mapSpain

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

  1. 1mo agomapSpainInternal helper refactor with the public API held fixed
  2. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  3. 4mo agoggstatsplotInternal maintenance only
  4. 4mo agomapSpainQuery timeout becomes configurable
  5. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  6. 7mo agomapSpain1.0.0 rebuilds on httr2 and invalidates every cache
  7. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  8. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  9. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  10. 1y agomapSpainComarcas and simplified INE geometries added
  11. 1y agomapSpainComarca types split across four official sources
  12. 1y agomapSpainAdapted to the SIANE 2024 databases

Frequently asked questions

What is the difference between ggstatsplot and mapSpain?

Both compete on the same themes — r-package — within Analytics. ggstatsplot and mapSpain 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 ggstatsplot better than mapSpain?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstatsplot and mapSpain 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 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.

What are the best alternatives to mapSpain?

Top mapSpain alternatives in Analytics are ranked by recent ship velocity. Browse the "mapSpain alternatives" section above for the current picks, or visit /alternatives/mapspain for the full list with editorial commentary on each.