streamlit-sigmajs-component 1.0.1

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

pip installation

pip install streamlit-sigmajs-component

manual installation from source

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 .

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")

• (optional) use the data returned via the graph state object (e.g. selected node or edge, ...)

Run Example App

• create the environment
  • pip install virtualenv (if you don't already have virtualenv installed)
  • virtualenv venv to create your new environment (called 'venv' here)
  • source venv/bin/activate to enter the virtual environment (unix)
  • venv/bin/activate to enter the virtual environment (windows)

pip install -r requirements.txt to install the requirements in the current environment

• run the streamlit example app:

cd streamlit_sigmajs_component/vsigma_component
streamlit run example.py

Development

• Ensure you have Python 3.7+, Node.js, and npm installed.

Clone project

• Clone this repository : git clone https://github.com/camaris2/streamlit_sigmajs_component.git
• Navigate to root directory

Python Setup

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

python3 -m venv venv # On Windows use python -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 (in development mode)

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 dev

• In another terminal run the streamlit server

source ./venv/bin/activate  # Unix
.\venv\Scripts\activate  # Windows
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