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
12 6
512 421
- -
6.5 0.0
29 days ago 20 days ago
Python Scala
MIT License MIT License
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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 2022-12-29.


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 2023-04-13.
  • Lakehouse architecture in Azure Synapse without Databricks?
    2 projects | /r/dataengineering | 13 Apr 2023
    I was a Databricks user for 5 years and spent 95% of my time developing Spark code in IDEs. See the spark-daria and spark-fast-tests projects as Scala examples. I developed internal libraries with all the business logic. The Databricks notebooks would consist of a few lines of code that would invoke a function in the proprietary Spark codebase. The proprietary Spark codebase would depend on the OSS libraries I developed in parallel.
  • Well designed scala/spark project
    4 projects | /r/scala | 15 Oct 2022
  • Unit & integration testing in Databricks
    3 projects | /r/dataengineering | 30 Apr 2022
    If the majority of your stuff is not UDF-based there is an OS solution to run assertion tests against full data frames called spark-fast-tests. The idea here is similar in that you have a it notebook that calls your actual notebook against a staged input reads the output and compares it to a prefabed expected output. This does take a bit of setup and trial and error but it’s the closest I’ve been able to get to proper automated regression testing in databricks
  • Show dataengineering: beavis, a library for unit testing Pandas/Dask code
    3 projects | /r/dataengineering | 9 Aug 2021
    I am the author of spark-fast-tests and chispa, libraries for unit testing Scala Spark / PySpark code.
  • Ask HN: What are some tools / libraries you built yourself?
    264 projects | | 16 May 2021
    I built daria ( to make it easier to write Spark and spark-fast-tests ( to provide a good testing workflow.

    quinn ( and chispa ( are the PySpark equivalents.

    Built bebe ( to expose the Spark Catalyst expressions that aren't exposed to the Scala / Python APIs.

    Also build spark-sbt.g8 to create a Spark project with a single command:

  • Open source contributions for a Data Engineer?
    17 projects | /r/dataengineering | 16 Apr 2021
    I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.

What are some alternatives?

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

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

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

quinn - pyspark methods to enhance developer productivity πŸ“£ πŸ‘― πŸŽ‰

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

lowdefy - The config web stack for business apps - build internal tools, client portals, web apps, admin panels, dashboards, web sites, and CRUD apps with YAML or JSON.

airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

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

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.

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