Making a new release of ml_prov

The extension can be published to PyPI and npm using the Jupyter Releaser.

Automated releases with the Jupyter Releaser

The extension repository should already be compatible with the Jupyter Releaser.

Check out the workflow documentation for more information.

Here is a summary of the steps to cut a new release:

Fork the jupyter-releaser repo
Add ADMIN_GITHUB_TOKEN, PYPI_TOKEN and NPM_TOKEN to the Github Secrets in the fork
Go to the Actions panel
Run the "Draft Changelog" workflow
Merge the Changelog PR
Run the "Draft Release" workflow
Run the "Publish Release" workflow

Publishing to `conda-forge`

If the package is not on conda forge yet, check the documentation to learn how to add it: https://conda-forge.org/docs/maintainer/adding_pkgs.html

Otherwise a bot should pick up the new version publish to PyPI, and open a new PR on the feedstock repository automatically.