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ggstatsplot vs units

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

ggstatsplot vs units: at a glance

Featureggstatsplotunits
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingmeasurement units, r package, udunits2, breaking parser change
Last editorial update57m ago4h 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 units?

units reaches 1.0 by rewriting its parser and accepting the breakage that comes with it.

units attaches physical units to R vectors on top of the udunits2 library, covering arithmetic, conversion and ggplot2 scales. Version 1.0-0 replaced the unit-expression tokenizer so numbers are consistently treated as prefixes, and expressions like ml/min/1.73m^2 now parse the way physiologists write them. Printing follows NIST conventions, and 1.0-1 is a fix pass over memory handling and parser edge cases.

Read the full units trajectory →

ggstatsplot vs units: 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.

U
units
ANALYTICS
0.0

units reaches 1.0 by rewriting its parser and accepting the breakage that comes with it.

◆ Current state

units attaches physical units to R vectors on top of the udunits2 library, covering arithmetic, conversion and ggplot2 scales. Version 1.0-0 replaced the unit-expression tokenizer so numbers are consistently treated as prefixes, and expressions like ml/min/1.73m^2 now parse the way physiologists write them. Printing follows NIST conventions, and 1.0-1 is a fix pass over memory handling and parser edge cases.

◆ Where it's heading

The long 0.8-x run was accretion — ggplot2 scales absorbed from ggforce, ud_convert(), matrix methods, steady performance work — while known parsing defects stayed in place. The 1.0 release finally traded backwards compatibility for correct parsing, and 1.0-1's pointer-wrapping and exception-propagation work suggests the C++ glue is being hardened behind it. Fixes cluster at the udunits2 boundary, which remains the main source of surprises.

◆ Prediction

Expect continued patch releases against udunits2 quirks and the new tokenizer's fallout rather than new surface area, with the ggplot2 integration and conversion helpers already in place.

Alternatives to ggstatsplot and units

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 units.

See all ggstatsplot alternatives → · See all units alternatives →

Recent activity from ggstatsplot and units

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

  1. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  2. 4mo agoggstatsplotInternal maintenance only
  3. 5mo agounitsMemory-leak and udunits2 parsing fixes after 1.0
  4. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  5. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  6. 10mo agounitsNew tokenizer parses compound units correctly
  7. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  8. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  9. 1y agounitsCopy semantics fix in ud_convert(); C++17 for old R
  10. 1y agounitscbind/rbind methods, ud_convert() and broad fixes
  11. 1y agounitsSilences a CRAN compiler warning
  12. 2y agounitsRestores simplify=FALSE for identical units

Frequently asked questions

What is the difference between ggstatsplot and units?

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

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

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