Spark Utils VS delight

Compare Spark Utils vs delight and see what are their differences.

Spark Utils

Basic framework utilities to quickly start writing production ready Apache Spark applications (by tupol)

delight

A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source. (by datamechanics)
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Spark Utils delight
- 2
35 332
- 0.0%
4.6 1.2
23 days ago about 1 year ago
Scala Scala
MIT License GNU General Public License v3.0 or later
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.

Spark Utils

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

We haven't tracked posts mentioning Spark Utils yet.
Tracking mentions began in Dec 2020.

delight

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

What are some alternatives?

When comparing Spark Utils and delight you can also consider the following projects:

Scoobi - A Scala productivity framework for Hadoop.

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.

Scoozie - Scala DSL on top of Oozie XML

dblink - Distributed Bayesian Entity Resolution in Apache Spark

Jupyter Scala - A Scala kernel for Jupyter

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

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

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

Sparkta - Real Time Analytics and Data Pipelines based on Spark Streaming

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.

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]

Reactive-kafka - Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka.