AlgorithmX Python
AlgorithmX Python is a library for network visualization and algorithm simulation, built on AlgorithmX. It works through either a WebSocket server, or as a widget in Jupyter Notebooks and JupyterLab.
Resources
Installation
Python 3.6 or higher is required.
AlgorithmX can be installed using pip:
pip install algorithmx
Jupyter Widget
In classic Jupyter notebooks, the widget will typically be enabled by default. However, if you installed using pip with notebook version <5.3, you will have to manually enable it by running:
jupyter nbextension enable --sys-prefix --py algorithmx
with the appropriate flag. To enable in JupyterLab, run:
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install algorithmx-jupyter
Example Usage
If you wish to use the library through a HTTP/WebSocket server, follow the template below:
import algorithmx
server = algorithmx.http_server(port=5050)
canvas = server.canvas()
def start():
canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()
canvas.listen('start', start)
server.start()
Be default, the output can be found at http://localhost:5050/
.
If you are using Jupyter, add the following to a cell:
import algorithmx
canvas = algorithmx.jupyter_canvas()
canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()
display(widget)