A library for network visualization and algorithm simulation.
Project description
AlgorithmX Python
AlgorithmX Python is a library for network visualization and algorithm simulation, based on AlgorithmX. It works through either a HTTP server, or as a widget in Jupyter Notebooks and JupyterLab.
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Installation
Python 3.6 or higher is required.
AlgorithmX can be installed using pip:
pip install algorithmx
or using conda:
conda 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()
canvas = server.canvas()
def start():
canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()
canvas.listen('start', start)
server.start()
If you are using Jupyter, add the following to a cell:
import algorithmx
widget = algorithmx.jupyter_widget()
canvas = widget.canvas()
canvas.nodes([1, 2]).add()
canvas.edge((1, 2)).add()
display(widget)
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