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Comparison · Analytics

affiner vs gtsummary

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

Shared themes:r-package

affiner vs gtsummary: at a glance

Featureaffinergtsummary
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, computational-geometry, grid-graphics, affine-transformsclinical-tables, analysis-results-data, regression-summaries, reproducible-reporting
Last editorial update46m ago1h ago
WebsiteVisit →Visit →

What is affiner?

affiner is quietly turning a grid transformation helper into a small computational geometry library.

An R package that began as a wrapper around grid's affine transformation primitives, with an angle vector class supporting degrees, radians, half-turns, turns and gradians so users need not convert by hand. Four releases in roughly eighteen months. The recent two have expanded well past that starting point into geometric objects and the predicates that operate on them.

Read the full affiner 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 →

affiner vs gtsummary: editorial side-by-side

A
affiner
ANALYTICS
0.0

affiner is quietly turning a grid transformation helper into a small computational geometry library.

◆ Current state

An R package that began as a wrapper around grid's affine transformation primitives, with an angle vector class supporting degrees, radians, half-turns, turns and gradians so users need not convert by hand. Four releases in roughly eighteen months. The recent two have expanded well past that starting point into geometric objects and the predicates that operate on them.

◆ Where it's heading

The direction is clear from the order things arrived. Version 0.2.1 added the predicate layer first — has_intersection(), intersection(), is_equivalent() and is_parallel() as S3 generics working across angle vectors, points, lines and planes. Version 0.3.1 then supplied the objects those generics need, with Ellipse2D, Polygon2D and Segment2D R6 classes plus constructors for rectangles, regular n-gons and isotoxal star polygons, and dot products at one, two and three dimensions. Building the operations before the shapes is unusual ordering but it means each new object type arrives already composable with everything else.

◆ Prediction

Expect more 2D and 3D object types filling out the same generic interface, and the geometry side to keep outgrowing the grid-transformation wrapper the package was named for.

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 affiner 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 affiner or gtsummary.

See all affiner alternatives → · See all gtsummary alternatives →

Recent activity from affiner and gtsummary

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

  1. 2mo agogtsummaryTheme elements no longer evaluated by default
  2. 3mo agoaffinerEllipse, polygon and segment objects, with star and n-gon constructors
  3. 6mo agoaffinerIntersection, equivalence and parallelism generics across geometric types
  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. 1y agoaffinerIsocube border fill forced transparent
  10. 1y agoaffinerInitial release: affine grob wrappers and multi-unit angle vectors

Frequently asked questions

What is the difference between affiner and gtsummary?

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

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

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