Hi there!
We’ve built a free Streamlit component for interactive graph visualizations: yFiles Graphs for Streamlit.
Here is a small example that lets you interactively explore the graph data of Little Alchemy: https://little-alchemy-explorer.streamlit.app/
You can install the component from PyPI with:
pip install yfiles_graphs_for_streamlit
The interactive viewer and API provide many useful features, such as:
- Data-driven item visualization
- Automatic graph layouts
- Heatmap visualization
- Geospatial data mapping
- Grouping and interactive folding of groups
- Data imports for popular modules (e.g., Neo4j, NetworkX, pandas, …)
In general, it imports structured node and edge lists. A very simple example looks like this:
import streamlit as st
from yfiles_graphs_for_streamlit import StreamlitGraphWidget, Node, Edge
nodes = [
Node(id=0, properties={"firstName": "Alpha", "label": "Person A"}),
Node(id=1, properties={"firstName": "Bravo", "label": "Person B"}),
Node(id=2, properties={"firstName": "Charlie", "label": "Person C", "has_hat": False}),
Node(id=3, properties={"firstName": "Delta", "label": "Person D", "likes_pizza": True})
]
edges = [
Edge(start=0, end=1, properties={"since": "1992", "label": "knows"}),
Edge(start=1, end=3, properties={"label": "knows", "since": "1992"}),
Edge(start=2, end=3, properties={"label": "knows", "since": "1992"}),
Edge(start=0, end=2, properties={"label": "knows", "since": 234})
]
StreamlitGraphWidget(nodes, edges).show()
You can find more information here:
- GitHub (examples + API documentation)
- PyPI (the component in the registry)
- yWorks (background information)
- YouTube short introduction
This would make a great addition to the “Graphs” components listed here Components • Streamlit but we haven’t found a way to contribute to that page yet. If you know how we can add it, please let us know.
Anyhow, let us know what you think!