stefco/llama-dev 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 images that can be used for development work with LLAMA. If you have the LLAMA source code checked out in, e.g., /home/yourname/llama-code, you can start developing using e.g. the python 3.7 version of this image with:

docker run -v /home/yourname/llama-code:/home/llama/multimessenger-science \
    -it stefco/llama-base:py37 bash

You can also build and deploy code or documentation to e.g. PyPI⁠ or Anaconda.org⁠ (or your own private versions thereof) using these images.