Adding Packages to Spack

[ax3l]

Hi @KenKundert,

Thank you for developing and sharing quantiphy! ✨

We recently started using this package in ImpactX and it is of great help adding meaningful labels over wide dynamic unit ranges that we can simulate.

Related to that, we ship our software and its dependencies on a variety of package managers to serve our scientific users. For that purpose. I already found the

• conda-forge package feedstock: https://github.com/conda-forge/quantiphy-feedstock

and would add one more package to the

• Spack package manager: Add quantiphy spack/spack#43894

The Spack package will rely on the upload that you already push to PyPI and thus should require minimal maintenance. We use Spack extensively to deploy to high-performance computers (HPC systems). There is no work on your side required and we can maintain that extra package, but if you like to be listed as package maintainer as well then please let me know and you will get pings for new versions and reviews 🔔

All the best,
Axel