semvec/pypi-packages huggingface dataset:
st-agraph-symrzknr 0.0.42
Interactive Graph Vis for Streamlit, forked from original
Requires Python: >=3.6

Based on [react-d3-graph](https://www.npmjs.com/package/react-d3-graph)


## Install

`pip install st-agraph-symrzknr`

## Use
```python
import streamlit
from streamlit_agraph import agraph, Node, Edge, Config

nodes = []
edges = []
nodes.append( Node(id="Spiderman", label="Peter Parker", size=400, svg="http://marvel-force-chart.surge.sh/marvel_force_chart_img/top_spiderman.png") ) # includes **kwargs
nodes.append( Node(id="Captain_Marvel", size=400, svg="http://marvel-force-chart.surge.sh/marvel_force_chart_img/top_captainmarvel.png") )
edges.append( Edge(source="Captain_Marvel", label="friend_of", target="Spiderman", type="CURVE_SMOOTH") ) # includes **kwargs

config = Config(width=500, 
                height=500, 
                directed=True,
                nodeHighlightBehavior=True, 
                highlightColor="#F7A7A6", # or "blue"
                collapsible=True,
                node={'labelProperty':'label'},
                link={'labelProperty': 'label', 'renderLabel': True}
                # **kwargs e.g. node_size=1000 or node_color="blue"
                ) 

return_value = agraph(nodes=nodes, 
                      edges=edges, 
                      config=config)