{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/9"},{"label":"Dynamic Content","url":"https://skillfed.io/packages/category/internet-www-http-dynamic-content"},{"label":"HTML","url":"https://skillfed.io/packages/category/text-processing-markup-html"},{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"}],"enrichment":{"capability":"Great Tables transforms Pandas or Polars DataFrames into formatted, publication-quality HTML tables or images with headers, footers, column spanners, and cell-level formatting.","skillfed_tags":["dataframe-rendering","table-formatting","html-generation"],"use_cases":["Generate formatted financial or statistical reports from DataFrames with currency and number formatting applied.","Create publication-ready tables for research papers, dashboards, or documentation with headers, footers, and styled columns.","Build interactive HTML tables in Jupyter notebooks or Quarto documents with custom cell formatting and layout.","Display date-based data with locale-aware formatting using Babel integration.","Render large datasets as styled HTML or image tables for web or print distribution."],"what_it_does":"Great Tables is a Python library for creating formatted, visually polished tables from DataFrame data. It takes Pandas or Polars DataFrames as input and lets you compose tables with headers, footers, row labels (stubs), column spanners, and cell-level formatting\u2014such as currency, dates, and numbers\u2014before rendering to HTML or image output. The library emphasizes a composable, method-chaining API where you build tables incrementally by applying formatting and layout operations.\n\nThe package is designed for both everyday table display needs and publication-quality output. It comes with 16 built-in datasets for experimentation and is commonly used in notebook environments and Quarto documents. The active maintenance, low install friction, and permissive MIT license make it accessible for data analysis, reporting, and documentation workflows across scientific, financial, healthcare, and general software development contexts.","worth_installing":"Yes. Great Tables is actively maintained, has low install friction, carries a permissive MIT license, and solves a clear problem\u2014turning DataFrames into polished, formatted tables. It's well-suited for anyone doing data reporting, analysis, or documentation in Python. No known security vulnerabilities as of 2026-08-14."},"id":"great-tables","links":{"html":"https://skillfed.io/packages/great-tables","md":"https://skillfed.io/packages/great-tables.md","pypi":"https://pypi.org/project/great-tables/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-27","license_spdx":null,"license_treatment":"permissive","name":"great-tables","python_support":"supports_current","summary":"Easily generate information-rich, publication-quality tables from Python."},"popularity":{"monthly_downloads":683169,"position":5360,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.23.0"}