Coiled integrates with the tools you already use. When it comes to using Coiled with JupyterLab, there are a few useful open source JupyterLab extensions that we recommend trying out:

Dask JupyterLab extension

The Dask community maintains a JupyterLab extension which allows Dask dashboard plots to be embedded directly into a JupyterLab session. Viewing diagnostic plots in JupyterLab, instead of in a separate browser tab or window, is often a pleasant user experience if you find yourself working in JupyterLab a lot.

The Dask JupyterLab extension can be installed with:

conda install -c conda-forge jupyterlab nodejs dask-labextension
jupyter labextension install dask-labextension
jupyter serverextension enable dask_labextension

Now when you launch JupyterLab there will be a tab with the orange Dask logo in the left sidebar. You can connect the extension to your Coiled cluster by copying the Dask dashboard URL for your coiled.Cluster (available via the Cluster.dashboard_link attribute) into the Dask tab in the JupyterLab left sidebar.


Dashboard plots are now available for you to embed directly into your JupyterLab session! Plots are accessible by clicking the orange button with each plot’s name like “Progress” or “Task Stream”. You can then click and drag the tabs of those new windows to construct your ideal workspace. We recommend starting with the “Task Stream” and “Progress” charts.

Conda kernels extension

The nb_conda_kernels extension enables you to access other conda environments on your machine from Jupyter Notebook or JupyterLab. This allows you to smoothly switch between different Coiled software environments you’ve installed locally. You can install the nb_conda_kernels extension with:

conda install -c conda-forge nb_conda_kernels

Note that any other environments you wish to access must have a kernel package, e.g. ipykernel, installed in them. By default any Coiled software environment you’ve installed locally with coiled install will have ipykernel automatically installed to enable use with nb_conda_kernels.

To select the conda environment to use with a notebook in JupyterLab, click the text indicating the current kernel in the upper righthand corner of the notebook (screenshot below). This will bring up a “Select Kernel” dropdown menu where you can select which kernel you would like to use for the notebook.


Ipywidgets extension

ipywidgets enables interactive HTML widgets for Jupyter notebooks and JupyterLab. This provides a rich, responsive user experience when working in Jupyter. The coiled.Cluster cluster manager utilizes ipywidgets to display an interactive widget in JupyterLab (screenshot below) which allows you to manually scale up, scale down, or adaptively scale the number of workers in your Coiled cluster.


The ipywidgets JupyterLab extension can be installed with:

conda install -c conda-forge ipywidgets nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager

After installing the extension, the cluster widget will now appear any time your cluster is the output of a JupyterLab notebook cell.