chispa VS spark-fast-tests

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

chispa

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

spark-fast-tests

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
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.
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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 2022-12-29.

spark-fast-tests

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
    https://github.com/MrPowers/spark-fast-tests https://github.com/97arushisharma/Scala_Practice/tree/master/BigData_Analysis_with_Scala_and_Spark/wikipedia
  • 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 | news.ycombinator.com | 16 May 2021
    I built daria (https://github.com/MrPowers/spark-daria) to make it easier to write Spark and spark-fast-tests (https://github.com/MrPowers/spark-fast-tests) to provide a good testing workflow.

    quinn (https://github.com/MrPowers/quinn) and chispa (https://github.com/MrPowers/chispa) are the PySpark equivalents.

    Built bebe (https://github.com/MrPowers/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: https://github.com/MrPowers/spark-sbt.g8

  • 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.