# posit-dev/great-tables

Make awesome display tables using Python

Repository: https://github.com/posit-dev/great-tables
Canonical: https://ross.abutalabs.com/products/great-tables
Homepage: https://posit-dev.github.io/great-tables/
Language: Python
License: MIT
License Family: permissive
Topics: easy-to-use, formatting-data, pandas-dataframe, polars-dataframe, python, styling, summary-tables, tables
Last push: 2026-08-24T16:35:57+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 1580, "days_push": 9, "days_rel": 9, "gap_med": 39.5, "n_releases_24m": 15}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2723, forks 129 (observed 2026-08-28T04:07:15.670507+00:00)

## What it is
Great Tables is a Python library for building beautiful, publication-quality display tables from Pandas or Polars DataFrames using a chainable API. It supports headers, footers, stubs, spanner labels, value formatting, styling, and export to HTML, LaTeX, or images.

## Use cases
- make publication-quality summary tables from a pandas dataframe
- format and style a polars dataframe for a report
- add headers, footers, and source notes to a display table
- render a styled table as HTML for a web page or notebook
- export a formatted table to an image or LaTeX
- create presentation-ready tables for journal articles

## When to choose
- you need polished, human-readable display tables rather than raw dataframes
- you work in Python with pandas or polars and want a gt-style table API
- you want to embed styled tables in notebooks, Quarto, or HTML reports

## When to avoid
- you need tables that will be read back as data rather than displayed
- you need interactive, sortable data grids in a web app
- you are not working in Python

## Facets
- artifact type: library
- maturity: active
- function: data-visualization, templating, serialization
- domain: data-visualization, data-science, web-development, developer-tools
- platform: python, cross-platform
- tags: display-tables, pandas, polars, html-tables, publication-quality, table-formatting, gt, latex-export

## Member repositories
- posit-dev/great-tables (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:15.670507+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 2026-08-30T02:14:56.934609+00:00, confidence not recorded.
  - readme: https://github.com/posit-dev/great-tables (fetched 2026-08-28T04:07:15.670507+00:00, sha 1aa40d235775)
  - homepage: https://posit-dev.github.io/great-tables/ (fetched 2026-08-29T09:58:02.787712+00:00, sha 712527848029)
  - registry_pypi: https://pypi.org/pypi/great-tables/json (fetched 2026-08-29T09:58:02.797192+00:00, sha 1b5b8d0ace6f)
- Data as of 2026-08-30T08:39:29.467469+00:00.