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ggstatsplot vs tidyBdE

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

ggstatsplot vs tidyBdE: at a glance

FeatureggstatsplottidyBdE
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingeconomic-data, spain, api-access, ggplot2-scales
Last editorial update1h ago2h 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 tidyBdE?

A Banco de España CSV scraper just learned to query the bank's live statistics API.

tidyBdE pulls Banco de España macroeconomic series into tidy R data frames and ships ggplot2 scales in the bank's house colors. Its whole history ran on bulk CSV downloads; 0.7.0 adds bde_series_api_latest() and bde_series_api_load() to query the bank's Statistics web service directly, with wide and long output, metadata extraction and time-range validation. The same release reached 100% line coverage.

Read the full tidyBdE trajectory →

ggstatsplot vs tidyBdE: 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.

T
tidyBdE
ANALYTICS
0.0

A Banco de España CSV scraper just learned to query the bank's live statistics API.

◆ Current state

tidyBdE pulls Banco de España macroeconomic series into tidy R data frames and ships ggplot2 scales in the bank's house colors. Its whole history ran on bulk CSV downloads; 0.7.0 adds bde_series_api_latest() and bde_series_api_load() to query the bank's Statistics web service directly, with wide and long output, metadata extraction and time-range validation. The same release reached 100% line coverage.

◆ Where it's heading

Most releases in this feed are the package chasing Banco de España's own churn — series identifiers change upstream and the indicator wrappers get repointed. The API functions break that pattern by removing the bulk-file dependency for the first time, and the new csv_manual vignette reads like documentation of the legacy path rather than the preferred one. The maintainer is applying the same cli, roxygen2 and AI-assisted refactor pass seen across their other Spanish open-data packages.

◆ Prediction

Expect the indicator wrappers to migrate onto the API functions, which would end the recurring identifier-tracking releases; the bde_ind_db documentation already carries the API series code alongside the CSV identifiers.

Alternatives to ggstatsplot and tidyBdE

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 tidyBdE.

See all ggstatsplot alternatives → · See all tidyBdE alternatives →

Recent activity from ggstatsplot and tidyBdE

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

  1. 1mo agotidyBdELive Statistics API access replaces bulk CSV as the entry point
  2. 2mo agotidyBdECSV encoding now detected automatically
  3. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  4. 4mo agoggstatsplotInternal maintenance only
  5. 4mo agotidyBdEVignettes migrate to Quarto; CPI series repointed
  6. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  7. 7mo agotidyBdER 4.1 minimum and a documentation pass
  8. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  9. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  10. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  11. 1y agotidyBdEIndicators move onto a single series database
  12. 1y agotidyBdEQuarterly GDP indicator repointed after upstream change

Frequently asked questions

What is the difference between ggstatsplot and tidyBdE?

They serve adjacent needs but don't currently overlap on shipped themes. ggstatsplot and tidyBdE 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 tidyBdE?

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

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