# ddsjoberg/gtsummary

Presentation-Ready Data Summary and Analytic Result Tables

Repository: https://github.com/ddsjoberg/gtsummary
Canonical: https://ross.abutalabs.com/products/gtsummary
Homepage: http://www.danieldsjoberg.com/gtsummary
Language: R
License: NOASSERTION
License Family: other
Topics: r, summary-tables, statistics, rstats, r-package, gt, html5, easy-to-use, summary-statistics, reproducible-research, reproducibility, regression-models, tableone, table1
Last push: 2026-08-26T17:30:48+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 2744, "days_push": 7, "days_rel": 8, "gap_med": 80, "n_releases_24m": 10}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1208, forks 153 (observed 2026-08-28T04:03:59.691887+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: data-visualization, analytics, developer-tools
- domain: data-science, healthcare
- platform: -
- tags: summary-tables, tableone, regression-models, clinical-trials, gt, reproducible-research, r-package, publication-ready, statistics, reproducibility, r

## Member repositories
- ddsjoberg/gtsummary (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.691887+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:54.903182+00:00, confidence not recorded.
  - readme: https://github.com/ddsjoberg/gtsummary (fetched 2026-08-28T04:03:59.691887+00:00, sha 9b9f8e7c4196)
  - homepage: http://www.danieldsjoberg.com/gtsummary (fetched 2026-08-29T12:26:31.580293+00:00, sha d906b1b26908)
  - site_page: https://www.danieldsjoberg.com/gtsummary/articles/gallery.html (fetched 2026-08-29T12:26:31.589373+00:00, sha 467f5a1cc33a)
  - site_page: https://www.danieldsjoberg.com/gtsummary/authors.html (fetched 2026-08-29T12:26:31.591926+00:00, sha e4034cafab40)
- Data as of 2026-08-30T08:39:29.467469+00:00.