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Comparison · Analytics

gtsummary vs tidyterra

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

Shared themes:r-package

gtsummary vs tidyterra: at a glance

Featuregtsummarytidyterra
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-tables, analysis-results-data, regression-summaries, reproducible-reportinggeospatial, terra, tidyverse, ggplot2
Last editorial update1h ago1h 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 tidyterra?

tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.

tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.

Read the full tidyterra trajectory →

gtsummary vs tidyterra: 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.

T
tidyterra
ANALYTICS
0.0

tidyterra finished wiring terra objects into the tidyverse, one verb family at a time.

◆ Current state

tidyterra supplies tidyverse methods and ggplot2 geoms for terra's SpatRaster and SpatVector classes, so spatial objects can be manipulated with dplyr verbs and plotted without conversion. The 1.0.0 release in January 2026 set a hard ggplot2 4.0.0 floor and added broom-style generics — tidy(), glance() and required_pkgs() across SpatRaster, SpatVector, SpatGraticule and SpatExtent. The 1.1.0 and 1.2.0 releases since have filled in the remaining dplyr and tidyr verb surface for SpatVector.

◆ Where it's heading

The package is converging on complete verb coverage rather than branching into new capability. 1.2.0 landed the grouping and nesting family — group_split, group_nest, nest_by, nest, nest_join, group_map, group_modify, reframe, cross_join, complete, expand — which is the last large gap between SpatVector and an ordinary data frame. Its cadence is set externally: releases track ggplot2 and dplyr version transitions, adopting arguments like .by as they stabilize upstream. The maintainer now states AI assistance explicitly for both documentation and generated methods.

◆ Prediction

With the verb surface close to complete, expect the next releases to track upstream ggplot2 and dplyr changes and to extend coverage to SpatRaster where methods currently exist only for SpatVector.

Alternatives to gtsummary and tidyterra

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 tidyterra.

See all gtsummary alternatives → · See all tidyterra alternatives →

Recent activity from gtsummary and tidyterra

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

  1. 1mo agotidyterraGrouping and nesting verbs arrive for SpatVector
  2. 2mo agogtsummaryTheme elements no longer evaluated by default
  3. 5mo agotidyterra.by stabilizes across mutate, filter, slice and fill
  4. 6mo agotidyterra1.0.0 requires ggplot2 4.0 and adds broom-style generics
  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 agotidyterraTest hotfix for CRAN
  9. 1y agogtsummaryData pre-processing restored after the 2.0 removal
  10. 1y agotidyterramask_projection stops rasters wrapping around the globe
  11. 1y agogtsummarytbl_merge gains explicit merge columns
  12. 1y agotidyterraFactor levels combined across layers; scale limits truncate legends

Frequently asked questions

What is the difference between gtsummary and tidyterra?

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

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

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