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ddsjoberg/gtsummary

Presentation-Ready Data Summary and Analytic Result Tables observed · 2026-08-28

github.com/ddsjoberg/gtsummary · homepage · R · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

95/100

  • Activity 99
  • Release rhythm 87
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 80
  • age_days: 2744
  • days_rel: 8
  • days_push: 7
  • n_releases_24m: 10

Full methodology

Adoption not part of the score

1208 stars · 153 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

gtsummary is an R package for creating publication-ready summary and analytic result tables from data frames and regression models. It is widely used in clinical and pharmaceutical research, producing tables from a machine-readable Analysis Results Dataset (ARD) for traceable, reproducible reporting.

Use cases

  • create a Table 1 of baseline demographics for a medical journal
  • summarize continuous and categorical variables with descriptive statistics
  • format regression model results like logistic or Cox models into tables
  • add p-values and confidence intervals to summary tables
  • produce reproducible clinical trial reports in R Markdown
  • combine and stack multiple summary or regression tables
  • report inline statistics in reproducible documents

When to choose

  • you need publication-ready statistical tables in R with sensible defaults
  • you work in clinical or pharmaceutical research and need CDISC-compliant, QC-able results
  • you want to summarize regression models with correct headers like Odds Ratio or Hazard Ratio automatically
  • you need reproducible Table 1 output for medical journals

When to avoid

  • you need interactive dashboards or charts rather than static tables
  • you are not working in R
  • you need highly bespoke table layouts that require full manual control from scratch

Facets

library · maturity stable

data-visualization analytics developer-tools data-science healthcare summary-tables tableone regression-models clinical-trials gt reproducible-research r-package publication-ready statistics reproducibility r

4 sources

Member repositories

RepositoryRoleHealth v2
ddsjoberg/gtsummarymain95

For agents

markdown · JSON · MCP: product_card(name="ddsjoberg/gtsummary")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem