graphscope-jupyter 0.4.1

Python implementation of the graph visualization tool Graphin.

graphscope-jupyter

The project structure refers to (ipycytoscape)[https://github.com/QuantStack/ipycytoscape/tree/1.1.0].

A widget enabling interactive graph visualization with Graphin in JupyterLab and the Jupyter notebook.

Installation

Note that graphscope-jupyter requires jupyterlab 2.x (e.g., 2.3.0a0) and is known unusable with jupyterlab 3.x.

With mamba:

mamba install -c conda-forge graphscope-jupyter

With conda:

conda install -c conda-forge graphscope-jupyter

With pip:

pip install graphscope-jupyter

For jupyterlab users:

If you are using JupyterLab 1.x or 2.x then you will also need to install nodejs and the jupyterlab-manager extension. You can do this like so:

# installing nodejs
conda install -c conda-forge nodejs


# install jupyterlab-manager extension
jupyter labextension install @jupyter-widgets/jupyterlab-manager@2

# if you have previously installed the manager you still to run jupyter lab build
jupyter lab build

For Jupyter Notebook 5.2 and earlier

You may also need to manually enable the nbextension:

jupyter nbextension enable --py [--sys-prefix|--user|--system] graphscope-jupyter

For a development installation:

(requires npm)

While not required, we recommend creating a conda environment to work in:

conda create -n graphscope -c conda-forge jupyterlab nodejs networkx
conda activate graphscope

# clone repo
git clone https://github.com/alibaba/GraphScope.git
cd GraphScope/python/jupyter/graphscope

# Install python package for development, runs npm install and npm run build
pip install -e .

When developing graphscope-jupyter, you need to manually enable the extension with the notebook / lab frontend. For lab, this is done by the command:

# install this extension
jupyter labextension install .

For classic notebook, you can run:

jupyter nbextension install --sys-prefix --symlink --overwrite --py graphscope-jupyter
jupyter nbextension enable --sys-prefix --py graphscope-jupyter

Note that the --symlink flag doesn't work on Windows, so you will here have to run the install command every time that you rebuild your extension. For certain installations you might also need another flag instead of --sys-prefix, but we won't cover the meaning of those flags here.

You need to install and build npm packages:

npm install && npm run build

Every time you change your typescript code it's necessary to build it again:

npm run build

How to see your changes

Typescript:

To continuously monitor the project for changes and automatically trigger a rebuild, start Jupyter in watch mode:

jupyter lab --watch

And in a separate session, begin watching the source directory for changes:

npm run watch

Python:

If you make a change to the python code then you need to restart the notebook kernel to have it take effect.

How to run tests locally

Install necessary dependencies with pip:

cd GraphScope/python/jupyter/graphscope
pip install -e .

License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the Apache License 2.0. See the LICENSE file for details.