@datalayer/jupyter-environments
Advanced tools
Environmnents for Jupyter.
Jupyter Environments allow Users to define the packages and libraries (Python...) that are used in their Kernels.
An Environment is also the place where Users define their Secrets and Environment Variables.
pip install -e .[test]
jupyter labextension develop . --overwrite
jupyter labextension list
jupyter server extension list
yarn jupyterlab
FAQs
🪐 🌳 Jupyter Environments.
The npm package @datalayer/jupyter-environments receives a total of 0 weekly downloads. As such, @datalayer/jupyter-environments popularity was classified as not popular.
We found that @datalayer/jupyter-environments demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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