The prototype analysis facility provides services for “low latency columnar analysis”, enabling rapid processing of data in a column-wise fashion. These services, based on Dask and Jupyter notebooks, aim to dramatically lower time for analysis and provide an easily-scalable and user-friendly computational environment that will simplify, facilitate, and accelerate the delivery of HEP results. The facility is built on top of a Kubernetes cluster and integrates dedicated resources with resources allocated via fairshare through the local HTCondor system. In addition to the user-facing interfaces such as Dask, the facility also manages access control through single-sign-on and authentication & authorization for data access. The notebooks in this repository and include simple HEP analysis examples, managed interactively in a Jupyter notebook and scheduled on Dask workers and accessing both public and protected data.
Interested? You can reach us in or in IRIS-HEP Slack channel.
Latest :
Image | Description | Size | Pulls | Version | Layers |
---|---|---|---|---|---|
coffea-casa | Dask scheduler image for coffea-casa hub | ||||
coffea-casa-analysis | Dask worker image for coffea-casa hub |
This repository uses GitHub Actions to build images, run tests, and push images to DockerHub (Docker image tags are syncronised with Coffea-casa releases).
coffeateam/coffea-casa:x.x.x
and coffeateam/coffea-casa-analysis:x.x.x
. The latest tag also corresponds to the most recent GitHub tag.Please note we are using for Coffea-casa Docker images and Pypi module.