spark-sql-perf VS Scala_Practice

Compare spark-sql-perf vs Scala_Practice and see what are their differences.

Scala_Practice

All the assignment solutions to the Coursera Scala specialisation course (by 97arushisharma)
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spark-sql-perf Scala_Practice
2 1
557 2
0.0% -
0.0 10.0
about 2 years ago almost 3 years ago
Scala Scala
Apache License 2.0 -
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-sql-perf

Posts with mentions or reviews of spark-sql-perf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.

Scala_Practice

Posts with mentions or reviews of Scala_Practice. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-15.
  • Well designed scala/spark project
    4 projects | /r/scala | 15 Oct 2022
    https://github.com/MrPowers/spark-fast-tests https://github.com/97arushisharma/Scala_Practice/tree/master/BigData_Analysis_with_Scala_and_Spark/wikipedia

What are some alternatives?

When comparing spark-sql-perf and Scala_Practice you can also consider the following projects:

deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.