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audubon vs gtsummary

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

Shared themes:r-package

audubon vs gtsummary: at a glance

Featureaudubongtsummary
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesjapanese-nlp, text-processing, r-package, budouxclinical-tables, analysis-results-data, regression-summaries, reproducible-reporting
Last editorial update45m ago1h ago
WebsiteVisit →Visit →

What is audubon?

audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.

An R package for Japanese text processing — normalisation, tokenisation via MeCab and SudachiPy, and phrase splitting through budoux. Ten releases since 2022, but the changelogs are dominated by automated dependency updates to a webpack, babel and prettier toolchain, because the budoux component is JavaScript that has to be bundled. Actual R-facing changes appear in perhaps one release in three.

Read the full audubon trajectory →

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 →

audubon vs gtsummary: editorial side-by-side

A
audubon
ANALYTICS
0.0

audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.

◆ Current state

An R package for Japanese text processing — normalisation, tokenisation via MeCab and SudachiPy, and phrase splitting through budoux. Ten releases since 2022, but the changelogs are dominated by automated dependency updates to a webpack, babel and prettier toolchain, because the budoux component is JavaScript that has to be bundled. Actual R-facing changes appear in perhaps one release in three.

◆ Where it's heading

The package appears feature-stable and in maintenance. The last substantive R-level addition visible here is bind_lr() for bigram LR values back in 0.5.0; everything since has been dependency hygiene, a tokeniser refactor, and platform-specific test fixes. That is a reasonable end state for a wrapper whose value is the binding rather than ongoing invention, but it does mean the release feed carries almost no signal about the package itself — a reader watching this feed would learn more about webpack's version history than about Japanese text processing.

◆ Prediction

Expect the Renovate cadence to continue setting the release rhythm, with R-facing changes arriving only when budoux itself gains capability or a platform breaks.

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.

Alternatives to audubon and gtsummary

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 audubon or gtsummary.

See all audubon alternatives → · See all gtsummary alternatives →

Recent activity from audubon and gtsummary

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

  1. 2mo agogtsummaryTheme elements no longer evaluated by default
  2. 3mo agoaudubonM1 Mac locale crash worked around in examples
  3. 7mo agoaudubonaudubon 0.6.2
  4. 7mo agoaudubonAutomated dependency bumps, including a webpack security update
  5. 8mo agogtsummaryARD strata functions and finer theme control
  6. 11mo agogtsummaryPer-level hierarchical sorting and labeled stacking
  7. 1y agogtsummaryTable splitting, ID labeling, and add_difference_row
  8. 1y agogtsummaryData pre-processing restored after the 2.0 removal
  9. 1y agogtsummarytbl_merge gains explicit merge columns
  10. 2y agoaudubonbudoux bumped to 0.6.2; Renovate configured
  11. 3y agoaudubonMeCab and SudachiPy tokenisers refactored
  12. 3y agoaudubonbind_lr() computes LR values for bigrams

Frequently asked questions

What is the difference between audubon and gtsummary?

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

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

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

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.