great-tables

name	great-tables
version	1.0.0
description	Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package
type	reference
author	workspace-hub
category	data-analysis
capabilities	["Publication-quality table rendering","Rich styling and formatting options","Conditional formatting with colors and icons","Grouped rows and columns","Spanner headers and footnotes","Export to HTML, PNG, and PDF","Integration with pandas and polars","Interactive HTML output"]
tools	["great_tables","pandas","polars","webshot"]
tags	["great-tables","tables","formatting","publication","styling","conditional-formatting","html-tables","data-presentation","reporting"]
platforms	["python"]
related_skills	["pandas-data-processing","polars","ydata-profiling","streamlit","plotly"]
requires	[]
scripts_exempt	true

Great Tables

When to Use This Skill

USE Great Tables when:

• Publication tables - Creating tables for reports, papers, or presentations
• Data presentation - Professional display of analysis results
• Conditional formatting - Highlighting patterns with colors and icons
• Complex layouts - Multi-level headers, grouped rows, footnotes
• HTML reports - Interactive tables for web-based reports
• Quick formatting - Need polished tables without manual styling
• Dashboard components - Tables in Streamlit/Dash applications
• Export requirements - Need PNG or PDF output

DON'T USE Great Tables when:

• Large datasets - Over 1000 rows for display (use pagination)
• Interactive editing - Need editable cells (use Streamlit data_editor)
• Real-time updates - Streaming data display
• Complex interactivity - Sorting, filtering (use DataTables or AG Grid)
• Raw data exploration - Use pandas display or ydata-profiling

Prerequisites

# Basic installation
pip install great_tables

# With all optional dependencies
pip install great_tables pandas polars

# For image export (PNG/PDF)
pip install great_tables webshot

# Using uv (recommended)
uv pip install great_tables pandas polars

# Verify installation
python -c "from great_tables import GT; print('Great Tables ready!')"

Complete Examples

Example 1: Financial Report Table

from great_tables import GT, html
from great_tables import style, loc
import pandas as pd
import numpy as np

def create_financial_report(
    data: pd.DataFrame,
    title:  = ,
    output_path:  = 

*See sub-skills  full details.*


```python
 great_tables  GT, html
 great_tables  style, loc
 pandas  pd
 numpy  np

 create_sales_dashboard_table() -> GT:
    

*See sub-skills  full details.*


```python
 great_tables  GT
 great_tables  style, loc
 pandas  pd
 numpy  np

 create_scientific_table() -> GT:
    

*See sub-skills  full details.*



- **** (): Initial release
  - Basic table creation  styling
  - Column formatting ()
  - Conditional formatting  color scales
  - Row  column grouping
  - Footnotes  annotations
  - Export to HTML  images
  - Complete report examples
  - Integration  Streamlit  Polars
  - Best practices  troubleshooting



- **Official Documentation**: https://posit-dev.github.io/great-tables/
- **GitHub**: https://github.com/posit-dev/great-tables
- **PyPI**: https://pypi.org/project/great-tables/
- **Gallery**: https://posit-dev.github.io/great-tables/examples/

---

**Create publication-quality tables  Great Tables - beautiful data presentation made easy!**



- [ Basic Table Creation]()
- [ Column Formatting]()
- [ Styling  Colors]()
- [ Conditional Formatting]()
- [ Grouped Rows  Columns]()
- [ Footnotes  Annotations ()]()
- [Great Tables  Streamlit ()]()
- [ Keep Tables Focused ()]()
- [Common Issues]()