audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
Comparison · Analytics
gtsummary vs rjd3highfreq
A side-by-side editorial comparison of gtsummary and rjd3highfreq — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
gtsummary vs rjd3highfreq: at a glance
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.
What is rjd3highfreq?
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
An R wrapper around JDemetra+ routines for seasonal adjustment of high-frequency time series, built on fractional airline decomposition. Only three releases are on record, roughly one every six months, and two of them describe nothing beyond updated .jar files. The package is a thin binding whose substance lives in the Java libraries it packages, and the release notes reflect that literally.
gtsummary vs rjd3highfreq: editorial side-by-side
gtsummary
0.0ANALYTICS
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.
rjd3highfreq
0.0ANALYTICS
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
◆ Current state
An R wrapper around JDemetra+ routines for seasonal adjustment of high-frequency time series, built on fractional airline decomposition. Only three releases are on record, roughly one every six months, and two of them describe nothing beyond updated .jar files. The package is a thin binding whose substance lives in the Java libraries it packages, and the release notes reflect that literally.
◆ Where it's heading
The one release with detail points at where the work actually is: 2.4.1 exposes eps and deps parameters on fractionalAirlineDecomposition(), controlling the optimisation routine's convergence precision and the step size for its numerical derivatives. That is tuning access for users whose series were not converging well under the defaults, and it is the only user-facing surface change visible here. The earlier entry even appears under a different package name, rjd3xhighfreq, which suggests some instability in how this line is published.
◆ Prediction
Expect further releases tracking JDemetra+ .jar versions, with R-level parameters exposed only as specific estimation problems surface; the entries do not support a firmer read than that.
Alternatives to gtsummary and rjd3highfreq
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 rjd3highfreq.
affiner
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
r-ledger
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
distributional
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
See all gtsummary alternatives → · See all rjd3highfreq alternatives →
Recent activity from gtsummary and rjd3highfreq
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agogtsummaryTheme elements no longer evaluated by default
- 3mo agorjd3highfreqOptimisation precision and derivative step exposed on airline decomposition
- 8mo agogtsummaryARD strata functions and finer theme control
- 8mo agorjd3highfreqrjd3highfreq 2.4.0
- 11mo agogtsummaryPer-level hierarchical sorting and labeled stacking
- 1y agogtsummaryTable splitting, ID labeling, and add_difference_row
- 1y agorjd3highfreqrjd3xhighfreq 2.3.0
- 1y agogtsummaryData pre-processing restored after the 2.0 removal
- 1y agogtsummarytbl_merge gains explicit merge columns
Frequently asked questions
What is the difference between gtsummary and rjd3highfreq?
Both compete on the same themes — r-package — within Analytics. gtsummary and rjd3highfreq 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 rjd3highfreq?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gtsummary and rjd3highfreq 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 rjd3highfreq?
Top rjd3highfreq alternatives in Analytics are ranked by recent ship velocity. Browse the "rjd3highfreq alternatives" section above for the current picks, or visit /alternatives/rjd3highfreq for the full list with editorial commentary on each.