2.1.1 shows jupyterlab compatibility warning with jupyterlab 4.2

[bollwyvl]

Description

Noted on conda-forge/jupyter-collaboration-feedstock#12 (comment), the basic smoke test is failing for whether a user might see (or perceive) problems with their jupyterlab versions. Given the nature and complexity of this extension (and the changes in lab 4.1+), I would surprised if the 4.0.x versions in yarn.lock weren't masking some typescript-level issues. Indeed has been pinned, which is suspicious if not also provided as runtime constraints so users' package managers benefit from this wisdom in a meaningful way.

+ jupyter labextension list
JupyterLab v4.2.0
/home/conda/feedstock_root/build_artifacts/jupyter-collaboration_1715216099941/_test_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_plac/share/jupyter/labextensions
        jupyterlab_pygments v0.3.0 enabled OK (python, jupyterlab_pygments)
        @jupyter/collaboration-extension v2.1.1 enabled  X (python, jupyter_collaboration)


   The following extensions may be outdated or specify dependencies that are incompatible with the current version of jupyterlab:
        @jupyter/collaboration-extension
        
   If you are a user, check if an update is available for these packages.
   If you are a developer, re-run with `--verbose` flag for more details.


Disabled extensions:
    @jupyterlab/filebrowser-extension:defaultFileBrowser

Reproduce

https://dev.azure.com/conda-forge/feedstock-builds/_build/results?buildId=930358&view=logs&j=656edd35-690f-5c53-9ba3-09c10d0bea97&t=986b1512-c876-5f92-0d81-ba851554a0a3&l=935

Expected behavior

@jupyter/collaboration-extension v2.1.1 enabled  OK (python, jupyter_collaboration)

Context

• Operating System and version: Linux Centos 7
• Browser and version: n/a
• JupyterLab version: 4.2.0

    jupyter-collaboration:         2.1.1-pyhd8ed1ab_0          local      
    jupyter-lsp:                   2.2.5-pyhd8ed1ab_0          conda-forge
    jupyter_client:                8.6.1-pyhd8ed1ab_0          conda-forge
    jupyter_core:                  5.7.2-py312h7900ff3_0       conda-forge
    jupyter_events:                0.10.0-pyhd8ed1ab_0         conda-forge
    jupyter_server:                2.14.0-pyhd8ed1ab_0         conda-forge
    jupyter_server_fileid:         0.9.2-pyhd8ed1ab_0          conda-forge
    jupyter_server_terminals:      0.5.3-pyhd8ed1ab_0          conda-forge
    jupyter_ydoc:                  2.0.1-pyhd8ed1ab_0          conda-forge
    jupyterlab:                    4.2.0-pyhd8ed1ab_0          conda-forge
    jupyterlab_pygments:           0.3.0-pyhd8ed1ab_1          conda-forge
    jupyterlab_server:             2.27.1-pyhd8ed1ab_0         conda-forge
 

[krassowski]

Relevant output with verbose:

"@jupyter/collaboration-extension@2.1.1" is not compatible with the current JupyterLab
Conflicting Dependencies:
JupyterLab         Extension           Package
>=2.0.1 <3.0.0     >=1.1.0-a0 <2.0.0   @jupyter/ydoc

[krassowski]

I guess we should just graduate 3.0 from alpha (which is compatible with 4.2 and in fact requires 4.2).

[krassowski]

Maybe we should wait with releasing 3.0 until #307 is in.

[fcollonval]

Actually we can change the constraint on @jupyter/ydoc to be ^1.0.0 || ^2.0.0 because the major bump was due to the change of Python dependency but the JavaScript did not change: https://github.com/jupyter-server/jupyter_ydoc/commits/v2.0.0

[jochym]

There is still a problem with 2.1.1. When I try to upgrade from 2.1.0 it forces jupyterlab downgrade to 2.1.x.
All using conda-forge packages.

[acgeospatial]

I ran into this issue today (May 2025). I was running Python 3.11, and that it transpires is not compatible with Kepler. Here is my working solution...

conda create -n keplergl_env python=3.9
conda activate keplergl_env
pip install keplergl notebook ipywidgets
python -m ipykernel install --user --name keplergl_env

jupyter notebook or jupyter lab (both worked)

choose the keplergl_env kernal and try

from keplergl import KeplerGl
map_1 = KeplerGl(height=500)
map_1