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gtsummary vs r-ledger

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

Shared themes:r-package

gtsummary vs r-ledger: at a glance

Featuregtsummaryr-ledger
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-tables, analysis-results-data, regression-summaries, reproducible-reportingplain-text-accounting, r-package, beancount, hledger
Last editorial update1h ago46m ago
WebsiteVisit →Visit →

What is gtsummary?

gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.

gtsummary builds publication-ready summary, regression and survival tables for clinical and epidemiological work. Across this window it has grown in two directions at once: table composition primitives — splitting tables by rows and columns, stacking with labeled IDs, nested strata stacks, flexible merge columns — and a steadily deepening ARD layer, where tbl_ard_* functions, gather_ard() and the hierarchical table family expose the underlying analysis results data as a first-class object.

Read the full gtsummary 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 →

gtsummary vs r-ledger: editorial side-by-side

G
gtsummary
ANALYTICS
0.0

gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.

◆ Current state

gtsummary builds publication-ready summary, regression and survival tables for clinical and epidemiological work. Across this window it has grown in two directions at once: table composition primitives — splitting tables by rows and columns, stacking with labeled IDs, nested strata stacks, flexible merge columns — and a steadily deepening ARD layer, where tbl_ard_* functions, gather_ard() and the hierarchical table family expose the underlying analysis results data as a first-class object.

◆ Where it's heading

The ARD work is the through-line. Table IDs exist so gather_ard() can return a named list; hierarchical tables gained per-level sorting and targeted filtering; ARD inputs are pre-processed so sorting applies to non-standard shapes. The package is becoming a structured-results engine that happens to render tables, rather than a renderer alone. Alongside that, 2.2.0 restored data pre-processing that 2.0 had removed after the reduced functionality hurt users — a maintainer willing to reverse a major-version decision.

◆ Prediction

Expect the hierarchical and ARD functions, introduced as a preview without a full deprecation cycle, to keep stabilizing toward a settled API rather than new table types appearing.

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 gtsummary 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 gtsummary or r-ledger.

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

Recent activity from gtsummary 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. 2mo agogtsummaryTheme elements no longer evaluated by default
  3. 4mo agor-ledgerbean-report toolchains deprecated; transaction code column imported
  4. 8mo agogtsummaryARD strata functions and finer theme control
  5. 11mo agogtsummaryPer-level hierarchical sorting and labeled stacking
  6. 1y agogtsummaryTable splitting, ID labeling, and add_difference_row
  7. 1y agogtsummaryData pre-processing restored after the 2.0 removal
  8. 1y agogtsummarytbl_merge gains explicit merge columns
  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 gtsummary and r-ledger?

Both compete on the same themes — r-package — within Analytics. gtsummary 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 gtsummary better than r-ledger?

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

Top gtsummary alternatives in Analytics are ranked by recent ship velocity. Browse the "gtsummary alternatives" section above for the current picks, or visit /alternatives/gtsummary-r 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.