Streamlit Datatable Component

This repo contains a basic implementation of a Streamlit Datatable using the MUI Datatable under the hood.

Installation

python -m pip install git+https://github.com/wellsaid-labs/streamlit-mui-datatable.git

Usage

from streamlit_datatable import st_datatable
import pandas as pd

df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
st_datatable(df, title="You got this!")

Contributing

Prerequisites

1. Ensure you have Python 3.6+, Node.js, and npm installed.

2. Clone this repo.

3. Initialize the component frontend:

   $ cd streamlit_datatable/frontend
   $ npm install    # Install npm dependencies

4. In another terminal, create a new Python virtual environment:

   $ python3 -m venv venv
   $ . venv/bin/activate
   $ python -m pip install -r requirements.txt

Developing

1. Run the component frontend:

   $ npm run start  # Start the Webpack dev server

2. Run the streamlit development app:

   $ python -m streamlit run development.py

Building

1. Build the component frontend:

   $ npm run build

More Information

• Streamlit Components documentation
• Streamlit Forums
• Streamlit Components gallery