delight VS netapp-dataops-toolkit

Compare delight vs netapp-dataops-toolkit and see what are their differences.

delight

A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source. (by datamechanics)

netapp-dataops-toolkit

The NetApp DataOps Toolkit 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 near-instantaneously provisioning, cloning, or snapshotting a data volume or JupyterLab workspace. (by NetApp)
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delight netapp-dataops-toolkit
2 1
332 45
0.0% -
1.2 6.5
about 1 year ago about 1 month ago
Scala Jupyter Notebook
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

delight

Posts with mentions or reviews of delight. We have used some of these posts to build our list of alternatives and similar projects.

netapp-dataops-toolkit

Posts with mentions or reviews of netapp-dataops-toolkit. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing delight and netapp-dataops-toolkit you can also consider the following projects:

Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications

rfc8312bis - Revision of RFC8312 "CUBIC for Fast Long-Distance Networks"

sparkMeasure - This is the development repository for sparkMeasure, a tool and library designed for efficient analysis and troubleshooting of Apache Spark jobs. It focuses on easing the collection and examination of Spark metrics, making it a practical choice for both developers and data engineers.

beegfs-csi-driver - The BeeGFS Container Storage Interface (CSI) driver provides high performing and scalable storage for workloads running in Kubernetes.

dblink - Distributed Bayesian Entity Resolution in Apache Spark

trident - Storage orchestrator for containers

spark-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

quant - QUIC implementation for POSIX and IoT platforms