delta-examples vs chispa

delta-examples

Delta Lake examples (by delta-io)

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chispa

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

Pyspark Testing

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mrpowers.github.io

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delta-examples		chispa
	Project
2	Mentions	12
175	Stars	509
4.0%	Growth	-
7.4	Activity	6.5
19 days ago	Latest Commit	19 days ago
Jupyter Notebook	Language	Python
Apache License 2.0	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.

delta-examples

Posts with mentions or reviews of delta-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-10.

Scala is close to having an amazing Jupyter Notebook experience for data science workflows
5 projects | /r/scala | 10 Aug 2022

I was really excited to create a Jupyter notebook that showcases some Delta Lake functionality the other day.
installing pyspark on my m1 mac, getting an env error
2 projects | /r/apachespark | 4 Jun 2022

Here's the conda environment I am using.

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 delta-examples and chispa you can also consider the following projects:

launchers - coursier CLI launchers

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

coursier - Pure Scala Artifact Fetching

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