quinn VS spark-rapids

Compare quinn vs spark-rapids and see what are their differences.


pyspark methods to enhance developer productivity 📣 👯 🎉 (by MrPowers)


Spark RAPIDS plugin - accelerate Apache Spark with GPUs (by NVIDIA)
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quinn spark-rapids
6 3
392 499
- 4.2%
0.0 9.9
4 days ago 5 days ago
Python 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.


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


Posts with mentions or reviews of spark-rapids. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-16.

What are some alternatives?

When comparing quinn and spark-rapids you can also consider the following projects:

airbyte - Data integration platform for ELT pipelines from APIs, databases & files to warehouses & lakes.

streamlit - Streamlit — The fastest way to build data apps in Python

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

dagster - An orchestration platform for the development, production, and observation of data assets.

spark-daria - Essential Spark extensions and helper methods ✨😲

ballista - Distributed compute platform implemented in Rust, and powered by Apache Arrow.

chispa - PySpark test helper methods with beautiful error messages


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

null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.

Prefect - The easiest way to build, run, and monitor data pipelines at scale.