Metadata-Version: 2.1
Name: netapp-dataops-k8s
Version: 2.1.0b1
Summary: NetApp DataOps Toolkit for Kubernetes Environments
Home-page: https://github.com/NetApp/netapp-data-science-toolkit/
Author: Mike Oglesby
Author-email: mike.oglesby@netapp.com
Maintainer: NetApp
Maintainer-email: ng-ai-inquiry@netapp.com
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/NetApp/netapp-data-science-toolkit/issues
Project-URL: Documentation, https://github.com/NetApp/netapp-data-science-toolkit/blob/main/README.md
Project-URL: Source Code, https://github.com/NetApp/netapp-data-science-toolkit/
Platform: UNKNOWN
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

The NetApp DataOps Toolkit for Kubernetes is a Python library that makes it
simple for developers, data scientists, DevOps engineers, and data engineers to perform various data management
tasks within a Kubernetes cluster, such as provisioning a new Kubernetes
persistent volume or JupyterLab workspace, near-instantaneously cloning a
Kubernetes persistent volume or JupterLab workspace, and near-instantaneously
snapshotting a Kubernetes persistent volume or JupyterLab workspace for
traceability/baselining. This Python library can function as either a command
line utility or a library of functions that can be imported into any Python 
program or Jupyter Notebook.

Refer to the documentation for a full list of available functionality.

