Jupyter Widgets for working with RDF graphs
Project description
ipyradiant
Jupyter Widgets for RDF graph interaction, querying, and visualization in JupyterLab.
| Install | Demo | Build | Docs |
|---|---|---|---|
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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 >=3nodejs >=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 |
|---|---|---|---|
>=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
For additional information, see CONTRIBUTING.md
Open Source
This work is licensed under the BSD-3-Clause License.
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Source Distribution
Built Distribution
Hashes for ipyradiant-0.2.0-py3-none-any.whl
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| MD5 | 23f43ea711b833f002e102f71a0648f5 |
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| BLAKE2b-256 | bfa7cdfe343f65257400b8e88917ac12c1fa8acd2ac6fd7fb0978ec721c7f611 |
