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ggstatsplot vs n2khab

A side-by-side editorial comparison of ggstatsplot and n2khab — release velocity, themes, recent moves, and the top alternatives to consider.

ggstatsplot vs n2khab: at a glance

Featureggstatsplotn2khab
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingnatura 2000, r, habitat mapping, reproducible research
Last editorial update1h ago3h 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 n2khab?

n2khab keeps retracting interpretations of habitat data it can't actually support

n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.

Read the full n2khab trajectory →

ggstatsplot vs n2khab: 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.

N
n2khab
ANALYTICS
0.0

n2khab keeps retracting interpretations of habitat data it can't actually support

◆ Current state

n2khab reads and prepares the standardised Flemish Natura 2000 habitat data sources — habitat maps, water surfaces, GRTS master grids — for reproducible analysis. Releases track the publication of new versioned data sources on Zenodo, but the more consequential ones change how the package interprets what it reads. The latest removes an argument outright after the reasoning behind it was found to be wrong.

◆ Where it's heading

Two forces shape the package. The first is external: each new habitatmap or watersurfaces vintage needs a supported reader, and the package has absorbed a steady stream of them. The second is a willingness to break its own API when the ecology does not support what the code claimed — the interpreted argument removed because type 3130 occurrences cannot be resolved to a single subtype, the rbbvos+ type dropped as too loosely defined, the collapse default changed to match how users actually need the output shaped. Return structures are also being normalised so element names no longer vary with data source version.

◆ Prediction

The package has said it expects future watersurfaces_hab versions to implement collapsing in the data source itself, so the corresponding argument is a candidate for removal once that lands — the same path the interpreted argument took.

Alternatives to ggstatsplot and n2khab

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 n2khab.

See all ggstatsplot alternatives → · See all n2khab alternatives →

Recent activity from ggstatsplot and n2khab

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

  1. 1mo agon2khabn2khab 0.15.1
  2. 1mo agon2khabn2khab drops an argument built on a wrong ecological assumption
  3. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  4. 4mo agoggstatsplotInternal maintenance only
  5. 5mo agon2khabn2khab adds a reader for the watersurfaces reference points source
  6. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  7. 7mo agon2khabn2khab collapses watersurfaces output to unique polygon-type pairs
  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 agon2khabSupport for watersurfaces 2024 and watersurfaces_hab v6
  12. 1y agon2khabn2khab supports the 2023 habitat maps and drops the rbbvos+ type

Frequently asked questions

What is the difference between ggstatsplot and n2khab?

They serve adjacent needs but don't currently overlap on shipped themes. ggstatsplot and n2khab 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 n2khab?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstatsplot and n2khab 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 n2khab?

Top n2khab alternatives in Analytics are ranked by recent ship velocity. Browse the "n2khab alternatives" section above for the current picks, or visit /alternatives/n2khab for the full list with editorial commentary on each.