databricks-nutter-projects-demo vs chispa

databricks-nutter-projects-demo

Demo of using the Nutter for testing of Databricks notebooks in the CI/CD pipeline [Moved to: https://github.com/alexott/databricks-nutter-repos-demo] (by alexott)

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chispa

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

Pyspark Testing

Source Code

mrpowers.github.io

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databricks-nutter-projects-demo		chispa
	Project
1	Mentions	12
48	Stars	508
-	Growth	-
6.9	Activity	6.5
about 2 years ago	Latest Commit	13 days ago
Python	Language	Python
-	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.

databricks-nutter-projects-demo

Posts with mentions or reviews of databricks-nutter-projects-demo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-30.

Unit & integration testing in Databricks
3 projects | /r/dataengineering | 30 Apr 2022

You can also use the approach described here https://github.com/alexott/databricks-nutter-projects-demo

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.

Testing spark applications
1 project | /r/dataengineering | 5 Jul 2023

Unit and e2e tests using a combination of pytest and chispa (https://github.com/MrPowers/chispa). Custom library to create random test data that fits schema with optional hardcoded overrides for relevant fields to test business logic.
Spark open source community is awesome
5 projects | /r/apachespark | 29 Dec 2022

here's a little README fix a user pushed to chispa
Invitation to collaborate on open source PySpark projects
3 projects | /r/apachespark | 15 Oct 2022

chispa is a library of PySpark testing functions.
installing pyspark on my m1 mac, getting an env error
2 projects | /r/apachespark | 4 Jun 2022

The other approach I've used is Poetry, see the chispa project as an example. Poetry is especially nice for projects that you'd like to publish to PyPi because those commands are built-in.
Spark: local dev environment
2 projects | /r/dataengineering | 7 Feb 2022

- All Spark transformations are tested with pytest + chispa (https://github.com/MrPowers/chispa)
Pyspark now provides a native Pandas API
3 projects | /r/Python | 2 Jan 2022

Pandas syntax is far inferior to regular PySpark in my opinion. Goes to show how much data analysts value a syntax that they're already familiar with. Pandas syntax makes it harder to reason about queries, abstract DataFrame transformations, etc. I've authored some popular PySpark libraries like quinn and chispa and am not excited to add Pandas syntax support, haha.
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.
Tips for building popular open source data engineering projects
2 projects | /r/dataengineering | 16 Jul 2021

Blogging has been the main way I've been able to attract users. Someone searches "testing PySpark", they see this blog, and then they're motivated to try chispa.
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 databricks-nutter-projects-demo and chispa you can also consider the following projects:

dbx - 🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

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

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

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉

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.

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

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.

meltano

leapp - Leapp is the DevTool to access your cloud

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