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.
You can install the JupyterDash Python package using pip...
$ pip install jupyter-dash
or conda
$ conda install -c conda-forge -c plotly jupyter-dash
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.
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
To learn more about the features of JupyterDash, check out the announcement post.
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