ipyradiant 0.1.2

Jupyter Widgets for working with RDF graphs

ipyradiant

Jupyter Widgets for RDF graph interaction, querying, and visualization in JupyterLab.

Install	Demo	Build	Docs
			CHANGELOG CONTRIBUTING examples

Powered by ipyctoscape, datashader, and holoviews.

Visualization Widgets

ipyradiant includes several widgets for visualizing and interacting with RDF graphs that can be accessed through the examples.

Example Tooling Widgets

ipyradiant includes examples where visualization and utility widgets are linked into example tooling.

Prerequisites

• python >=3.6

ipyradiant's python dependencies will install their required nbextensions for Notebook Classic.

For JupyterLab support, ensure you have the following installed:

• jupyterlab >=1
• nodejs >=10

JupyterLab compatibility

While ipyradiant doesn't provide any JupyterLab extensions, it depends on a number of them.

The release of JupyterLab 3 has made some version compatibility unpredictable. Below are some researched combinations that should work.

jupyterlab	ipycytoscape	pyviz_comms	pip install
>=1,<2	>=1.0.3,<1.1.0	>=1,<1.0.3	ipyradiant[lab1]
>=2,<3	>=1.0.3,<1.1.0	>=1,<1.0.3	ipyradiant[lab2]
>=3,<4	>=1.1.0	>=1.0.3	ipyradiant[lab3]

Install

ipyradiant with conda (recommended)

conda install -c conda-forge ipyradiant

ipyradiant with pip

pip install ipyradiant

JupyterLab Extensions

Install the lab extensions that ipyradiant depends on.

jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-cytoscape @pyviz/jupyterlab_pyviz qgrid2

For additional information, see CONTRIBUTING.md

Open Source

This work is licensed under the BSD-3-Clause License.