https://github.com/j4rviscmd/streamlit-advanced-dataframe

🚀 A powerful Streamlit custom component that extends st.dataframe with advanced features: filtering, sorting, row/cell selection, column resizing, virtual scrolling (60fps with 100K rows), and more. Built with React + TanStack Table v8.
https://github.com/j4rviscmd/streamlit-advanced-dataframe

data-table data-visualization dataframe pandas python react streamlit streamlit-component streamlit-custom-component tanstack-table typescript

Last synced: about 1 month ago
JSON representation

🚀 A powerful Streamlit custom component that extends st.dataframe with advanced features: filtering, sorting, row/cell selection, column resizing, virtual scrolling (60fps with 100K rows), and more. Built with React + TanStack Table v8.

• Host: GitHub
• URL: https://github.com/j4rviscmd/streamlit-advanced-dataframe
• Owner: j4rviscmd
• License: mit
• Created: 2025-12-27T16:55:46.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2026-01-08T14:26:00.000Z (3 months ago)
• Last Synced: 2026-01-13T19:41:59.055Z (3 months ago)
• Topics: data-table, data-visualization, dataframe, pandas, python, react, streamlit, streamlit-component, streamlit-custom-component, tanstack-table, typescript
• Language: TypeScript
• Homepage: https://j4rviscmd.github.io/streamlit-advanced-dataframe/
• Size: 708 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# streamlit-advanced-dataframe

[![PyPI version](https://img.shields.io/pypi/v/streamlit-advanced-dataframe)](https://pypi.org/project/streamlit-advanced-dataframe/)

[![Python version](https://img.shields.io/pypi/pyversions/streamlit-advanced-dataframe)](https://pypi.org/project/streamlit-advanced-dataframe/)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

[![Downloads](https://img.shields.io/pypi/dm/streamlit-advanced-dataframe)](https://pypi.org/project/streamlit-advanced-dataframe/)

Streamlit's `st.dataframe` with advanced features using TanStack Table.

## Demo & Docs

- [Live Demo](https://app-advanced-dataframe-ezjlvffyxpev3iima6ttwr.streamlit.app/)

- [Documentation](https://j4rviscmd.github.io/streamlit-advanced-dataframe/)

## Quick Start

```bash

pip install streamlit-advanced-dataframe

```

```python

import pandas as pd

from streamlit_advanced_dataframe import advanced_dataframe

df = pd.DataFrame({

    "name": ["Alice", "Bob", "Charlie"],

    "age": [25, 30, 35],

    "city": ["Tokyo", "Osaka", "Kyoto"]

})

advanced_dataframe(data=df, height=400)

```