rjd3highfreq
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
A side-by-side editorial comparison of ggstatsplot and r-ledger — release velocity, themes, recent moves, and the top alternatives to consider.
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.
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.
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.
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.
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.
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.
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.
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.
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.
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
See all ggstatsplot alternatives → · See all r-ledger alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
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.