Update to use Bokeh >=2
See original GitHub issueIt appears that the most recent release of bokeh(v2.0.0) included some breaking changes. As a result, the websocket connection is not being established properly:
I am running:
# Name Version Build Channel
dask 2.12.0 py_0 conda-forge
dask-core 2.12.0 py_0 conda-forge
dask-labextension 2.0.0 py_0 conda-forge
bokeh 2.0.0 py37hc8dfbb8_0 conda-forge
$ jupyter labextension list
JupyterLab v2.0.1
Known labextensions:
app dir: /glade/work/abanihi/softwares/miniconda3/share/jupyter/lab
@jupyter-widgets/jupyterlab-manager v2.0.0 enabled OK
@jupyterlab/toc v3.0.0 enabled OK
@pyviz/jupyterlab_pyviz v0.9.0 enabled OK
dask-labextension v2.0.0 enabled OK
jupyterlab-nvdashboard v0.1.9 enabled X
The following extension are outdated:
jupyterlab-nvdashboard
Consider running "jupyter labextension update --all" to check for updates.
Issue Analytics
- State:
- Created 4 years ago
- Comments:12 (8 by maintainers)
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Top GitHub Comments
Jacob will be out for a bit. @scottyhq I don’t think it would be safe to revert until after bokeh>=2 has been tested and validated to work
I just did a mild test of bokeh 2.0.1 with jupyter-server-proxy 1.3.2 and things seem to be working fine. Were there particular failures that people had noticed? Otherwise it seems like we can update the pins.