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ggstatsplot vs r-ledger

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

Shared themes:r-package

ggstatsplot vs r-ledger: at a glance

Featureggstatsplotr-ledger
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesstatistical-plots, ggplot2, contingency-tables, hypothesis-testingplain-text-accounting, r-package, beancount, hledger
Last editorial update1h ago48m 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 r-ledger?

ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.

An R package that imports plain-text accounting files — ledger, hledger and beancount — into data frames. Releases are sparse and driven almost entirely by changes in the external command-line tools it shells out to: date format shifts, decimal mark handling, binaries being removed from upstream projects. The last two releases show more activity than the several years preceding them.

Read the full r-ledger trajectory →

ggstatsplot vs r-ledger: 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.

R
r-ledger
ANALYTICS
0.0

ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.

◆ Current state

An R package that imports plain-text accounting files — ledger, hledger and beancount — into data frames. Releases are sparse and driven almost entirely by changes in the external command-line tools it shells out to: date format shifts, decimal mark handling, binaries being removed from upstream projects. The last two releases show more activity than the several years preceding them.

◆ Where it's heading

The package's job is absorbing churn in an ecosystem it does not control, and the recent releases show that ecosystem fragmenting and then being backfilled. bean-report disappeared from beancount in 2020 and its toolchains were finally deprecated in v2.0.13; v2.1.1 responds to the arrival of rustledger by adding rledger and bean-query as explicit toolchain choices and making the beancount path fall back to rledger when bean-query is absent. The other steady thread is column parity — code, id and comment columns arriving one at a time across the three register functions, so that whichever toolchain a user has produces comparable output.

◆ Prediction

Expect the remaining deprecated toolchains to be removed outright, and further column-parity work so the rledger path returns the same fields as the established ones.

Alternatives to ggstatsplot and r-ledger

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 r-ledger.

See all ggstatsplot alternatives → · See all r-ledger alternatives →

Recent activity from ggstatsplot and r-ledger

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

  1. 2mo agor-ledgerrustledger supported as a beancount toolchain, with automatic fallback
  2. 3mo agoggstatsplotPairwise contingency tests and one-sample goodness-of-fit
  3. 4mo agoggstatsplotInternal maintenance only
  4. 4mo agor-ledgerbean-report toolchains deprecated; transaction code column imported
  5. 6mo agoggstatsplotAdapted to dplyr 1.2.0 and purrr 1.2.1
  6. 8mo agoggstatsplotContributor list updated in DESCRIPTION
  7. 10mo agoggstatsplotSecondary axis label parsing fixed in gghistostats
  8. 11mo agoggstatsplotAdapted to the latest ggplot2 release
  9. 2y agor-ledgerTransaction id column for beancount and hledger; date coercion aligned
  10. 4y agor-ledgerrio moved from Imports to Suggests
  11. 6y agor-ledgerhledger date import fixed for newer hledger versions
  12. 6y agor-ledgerComma decimal marks and commodity prefixes parse correctly

Frequently asked questions

What is the difference between ggstatsplot and r-ledger?

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

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

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