A repository for holding yaml files representing conda environments for use on the SLAC network. Environments are built and published using kubernetes jobs with the appropriate OS images. The environments described by the files are as follows:

This is the default environment that will be available to anyone logging into a RHEL7 or above box and sourcing the default startup scripts. Intended to be stable, only updated via CATER requests, suitable for running production applications.

Updated via a nightly cron job (10 pm) to obtain more recent versions of packages.

An environment with the GPU version of PyTorch for running on CUDA capable rocky 9 systems.

For additional documentation around how these environments are built, and the nightly environment in particular, see here: https://confluence.slac.stanford.edu/spaces/ppareg/pages/476119856/Nightly+Python+Environment