Can't connect to my kernel in jupyter-lab on GitHub Codespaces

Question

I am setting up GitHub Codespaces for my project.

I have my .devcontainer configuration with a following Dockerfile:

FROM condaforge/mambaforge:latest
RUN apt-get update && apt-get install sudo gcc --yes && apt-get clean
RUN mamba install -c conda-forge \
  "conda-build == 3.25.0" "boa == 0.15.1" "conda-verify == 3.1.1" "jupyter-lab"

Relevant section of the .decontainer.json:

    "build": { "dockerfile": "Dockerfile" },

    "privileged": true,

    "forwardPorts": [8000, 9000],

    "portsAttributes": {
        "8000": {
            "label": "HTTP",
            "protocol": "http",
            "onAutoForward": "notify",
            "elevateIfNeeded": true
        },
        "9000": {
            "label": "HTTPS",
            "protocol": "https",
            "onAutoForward": "notify",
            "elevateIfNeeded": true
        }
    },

I start the codespace and then in the terminal I run jupyter-lab --port 8000 --allow-root and the server starts; I open it it another browser tab, paste the authentication token and Jupyter Lab initiates. However, whenever I try to work in a notebook I am stuck on "Connecting to the IPython kernel" stage. Do I need to specify some more options for the codespace? Or maybe for the Jupyter server?

william_grisaitis · Accepted Answer · 2023-09-21 21:16:06Z

0

Try conda install nb_conda_kernels. This should make any conda envs visible as eligible notebook kernels.

answered Sep 21, 2023 at 21:16

william_grisaitis

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