Tooling for rapid deployment of automation tooling.
Project description
Gladier: The Globus Architecture for Data-Intensive Experimental Research.
Gladier is a programmable data capture, storage, and analysis architecture for experimental facilities. The architecture leverages a data/computing substrate based on data and compute agents deployed across computer and storage systems at APS, ALCF, and elsewhere, all managed by cloud-hosted Globus services.
Installation
Gladier requires Python 3.6 and higher. For a modern version of python, see the official Python Installation Guide.
The easiest way to get Gladier is through Pip on PyPi. Gladier is built with two main packages, the core Gladier client and Gladier Tools. Gladier Tools include a set of reusable, common operations. Installing it is highly recommended.
With pip installed, you can do the following:
pip install gladier gladier-toolsSee the Read-The-Docs getting started.
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