jupyter-dash-mp 0.5.0

Fork of Jupyter Dash with multiprocessing support: Dash support for the Jupyter notebook interface

Jupyter Dash - Multiprocessing

This is a fork of Jupyter Dash that enables servers to start and stop easier.

This library makes it easy to develop Plotly Dash apps interactively from within Jupyter environments (e.g. classic Notebook, JupyterLab, Visual Studio Code notebooks, nteract, PyCharm notebooks, etc.).

See the notebooks/getting_started.ipynb for more information and example usage.

Installation

You can install the JupyterDash Python package using pip...

$ pip install jupyter-dash

or conda

$ conda install -c conda-forge -c plotly jupyter-dash

JupyterLab support

When used in JupyterLab, JupyterDash depends on the jupyterlab-dash JupyterLab extension, which requires JupyterLab version 2.0 or above.

This extension is included with the Python package, but in order to activate it JupyterLab must be rebuilt. JupyterLab should automatically produce a popup dialog asking for permission to rebuild, but the rebuild can also be performed manually from the command line using:

$ jupyter lab build

To check that the extension is installed properly, call jupyter labextension list.

Colab support

As of version 0.3.0, JupyterDash works in Colab with no additional configuration. Just install jupyter-dash using pip in a Colab notebook cell

!pip install jupyter-dash

Features

To learn more about the features of JupyterDash, check out the announcement post.

Development

To develop JupyterDash, first create and activate a virtual environment using virtualenv or conda.

Then clone the repository and change directory to the repository root:

$ git clone https://github.com/plotly/jupyter-dash.git
$ cd jupyter-dash

Then install the dependencies:

$ pip install -r requirements.txt -r requirements-dev.txt 

Then install the Python package in editable mode. Note: this will require nodejs to be installed.

$ pip install -e .

Then install the classic notebook extension in development mode:

$ jupyter nbextension install --sys-prefix --symlink --py jupyter_dash
$ jupyter nbextension enable --py jupyter_dash

Then install the JupyterLab extension in development mode:

$ jupyter labextension link extensions/jupyterlab

For release, build the JupyterLab extension to bundle with the Python package:

$ python setup.py build_js