Closed hoxbro closed 4 months ago
This is because one major version of jupyter_bokeh
was supposed to be compatible with one major version of jupyterlab
, however, pre jupyter_bokeh
3.x there was no constraint on jypyterlab
version. In fact no mention of jupyter at all. I will publish jupyter_bokeh
4.0.0 with updated dependency constraints.
It doesn't build anymore:
Internal Error: @bokeh/jupyter_bokeh@workspace:.: This package doesn't seem to be present in your lockfile; run "yarn install" to update the lockfile
Probably easy to fix, just annoying.
How it is going? I also have jupyterlab 4.0.3 and jupyter tells me that jupyter_bokeh is outdated.
wieczyk@tortilla:~/Workspace/maxws/proj.e90$ jupyter labextension list
JupyterLab v4.0.3
/home/wieczyk/.pyenv/versions/3.10.6/share/jupyter/labextensions
jupyterlab_pygments v0.2.2 enabled X (python, jupyterlab_pygments)
@jupyter-widgets/jupyterlab-manager v5.0.5 enabled X (python, jupyterlab_widgets)
The following extensions are outdated:
jupyterlab_pygments
@jupyter-widgets/jupyterlab-manager
Consider checking if an update is available for these packages.
@mattpap You think we can just publish a version without the pin finally? While it won't build against JLab 4 I think an old build will likely still work with 4.
I started PR https://github.com/bokeh/jupyter_bokeh/pull/196 for this. Sadly interactivity doesn't work anymore with 4.x.
Can confirm the interactivity does not work with JupyterLab
: 4.0.5
either (through JupyterHub) and hvplot
: 0.8.4
.
It will download jupyter-bokeh 2.0.4. I don't know if it just updating the pins or if more work is needed.
Example: