stefco/llama-base repository overview

⁠Low-Latency Algorith for Multi-messenger Astrophysics (LLAMA) Conda build environment

LLAMA⁠ is a reliable and flexible multi-messenger astrophysics framework and search pipeline. It identifies astrophysical signals by combining observations from multiple types of astrophysical messengers and can either be run in online mode as a self-contained low-latency pipeline or in offline mode for post-hoc analyses. It is maintained by Stefan Countryman⁠ from this github repository⁠; the Docker image can be found here⁠. Some documentation on manually pushing the Conda environment⁠ is available here⁠.

This repository houses infrequently-changing images used as base images for more complex LLAMA images. These images provide miniconda3 Anaconda Python distributions installed under user llama with varying distribution flavors and non-python utilities installed; you should use the lightest distribution image that satisfies your needs when building more complex images or deploying/developing containers.