Launch jobs, organize the output, and dissect the results.
Project description
pyviz_comms
Offers a simple bidirectional communication architecture for PyViz tools including support for Jupyter comms in both the classic notebook and Jupyterlab.
There are two installable components in this repository: a Python component used by various PyViz tools and an extension to enable Jupyterlab support.
Installing the Jupyterlab extension
Jupyterlab users will need to install the Jupyterlab pyviz extension:
jupyter labextension install @pyviz/jupyterlab_pyviz
Compatibility
The PyViz libraries are generally version independent of
JupyterLab and the jupyterlab_pyviz extension
has been supported since holoviews 1.10.0 and the first release of pyviz_comms.
Our goal is that jupyterlab_pyviz minor releases (using the SemVer pattern) are
made to follow JupyterLab minor release bumps and micro releases are for new jupyterlab_pyviz features
or bug fix releases. We've been previously inconsistent with having the extension release minor version bumps
track that of JupyterLab, so users seeking to find extension releases that are compatible with their JupyterLab
installation may refer to the below table.
Compatible JupyterLab and jupyterlab_bokeh versions
| JupyterLab | jupyterlab_pyviz |
|---|---|
| 0.33.x | 0.6.0 |
| 0.34.x | 0.6.1-0.6.2 |
| 0.35.x | 0.6.3-0.7.0 |
Developing the Jupyterlab extension
For a development install (requires npm version 4 or later), do the following in the repository directory:
npm install
jupyter labextension link .
To rebuild the package and the JupyterLab app:
npm run build
jupyter lab build
The pyviz_comms Python package
The pyviz_comms Python package is used by pyviz projects and can be
pip and conda installed.
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