semvec/pypi-packages huggingface dataset:
netapp-dataops-k8s 2.7.0
NetApp DataOps Toolkit for Kubernetes Environments
License: BSD-3-Clause
Requires Python: <3.14,>=3.8

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. Some of the key capabilities that the toolkit provides are the ability to provision a new persistent volume or data science workspace, the ability to almost instantaneously clone a volume or workspace, the ability to almost instantaneously save off a snapshot of a volume or workspace for traceability/baselining, and the ability to move data between S3 compatible object storage and a Kubernetes persistent volume.<br><br>Refer to the documentation for a full list of available functionality.
netapp-dataops-traditional 2.7.0
NetApp DataOps Toolkit for Traditional Environments
License: BSD-3-Clause
Requires Python: <3.14,>=3.8

The NetApp DataOps Toolkit for Traditional Environments is a Python library that makes it simple for developers, data scientists, DevOps engineers, and data engineers to perform various data management tasks, such as provisioning a new data volume, near-instantaneously cloning a data volume, and near-instantaneously snapshotting a data volume 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.<br><br>Refer to the documentation for a full list of available functionality.