chispa VS fugue

Compare chispa vs fugue and see what are their differences.

chispa

PySpark test helper methods with beautiful error messages (by MrPowers)

fugue

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
  • Zigi - Workflow assistant built for devs & their teams
  • Scout APM - Truly a developer’s best friend
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • Sonar - Write Clean Python Code. Always.
chispa fugue
10 4
249 983
- 9.4%
3.8 7.7
about 1 month ago 12 days ago
Python Python
MIT License 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.

chispa

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

fugue

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 2022-03-01.

What are some alternatives?

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

spark-fast-tests - Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)

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

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

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉

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.

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

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

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

lowdefy - An open-source, self-hosted, low-code framework to build internal tools, web apps, admin panels, BI dashboards, workflows, and CRUD apps with YAML or JSON.

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

ormolu - A formatter for Haskell source code

bytehub - ByteHub: making feature stores simple