quinn VS fugue

Compare quinn vs fugue and see what are their differences.


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


A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites. (by fugue-project)
Our great sponsors
  • Sonar - Write Clean Python Code. Always.
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • SaaSHub - Software Alternatives and Reviews
quinn fugue
6 6
392 1,135
- 13.4%
0.0 7.4
4 days ago 5 days ago
Python Python
- 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 fugue. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

What are some alternatives?

When comparing quinn and fugue you can also consider the following projects:

modin - Modin: Scale your Pandas workflows by changing a single line of code

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

chispa - PySpark test helper methods with beautiful error messages

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.

bytehub - ByteHub: making feature stores simple

ormolu - A formatter for Haskell source code

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

xarray - N-D labeled arrays and datasets in Python