streamlit-sigmajs-component 0.0.2

A streamlit component to visualize network graph data using Sigma.js

Streamlit Sigma.js Component

A streamlit component to visualize network graph data.

Combines Python, Streamlit, Vue3 and Sigma.js.

Key Features

• Visualize network data
• Interact with the graph
• Display additional nodes & edges attributes

(screenshot)

Installation

Manual pip installation

Create and activate a python virtual environment (venv, conda, ...)

Clone this repository

git clone https://github.com/camaris2/streamlit_sigmajs_component.git

Navigate to root directory

cd streamlit_sigmajs_component

Install the package in editable mode:

pip install -e .

pip installation

Coming soon.

Using the component

In your streamlit app:

• import the module:

from vsigma_component import vsigma_component

• call the component

graph_state = vsigma_component(my_nodes, my_edges, my_settings, key="vsigma")

Example

run the streamlit example app:

cd streamlit_sigmajs_component
streamlit run example.py

Development

• Ensure you have Python 3.7+, Node.js, and npm installed.
• Clone this repository
• Navigate to root directory

Python Setup

Create and activate a virtual environment, then install the package in editable mode:

python3 -m venv .venv
source ./venv/bin/activate # On Windows use `.\venv\Scripts\activate`
pip install -e .

Node Setup

Navigate to the frontend directory and install the necessary npm packages:

cd vsigma_component/vue_sigma
npm install

Running the App

Change PRODUCTION flag in vsigma_component/init.py to False

• In one terminal start the frontend dev server

cd vsigma_component/vue_sigma
npm run start

• In another terminal run the streamlit server

source ./venv/bin/activate # On Windows use `.\venv\Scripts\activate`
cd vsigma_component
streamlit run example.py

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

• Sigma.js
• Streamlit
• Vue3
• Python