chispa VS spark-fast-tests

Compare chispa vs spark-fast-tests and see what are their differences.


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


Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit) (by MrPowers)
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chispa spark-fast-tests
10 5
249 368
- -
3.8 4.7
about 1 month ago 7 months ago
Python Scala
MIT License MIT License
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 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.


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

What are some alternatives?

When comparing chispa and spark-fast-tests you can also consider the following projects:

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

soda-sql - Data profiling, testing, and monitoring for SQL accessible data.

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

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉

sqlfluff - A modular SQL linter and auto-formatter with support for multiple dialects and templated code.

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

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.

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

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

fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites.