spark-fast-tests VS yadm

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

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spark-fast-tests yadm
6 81
418 4,761
- -
0.0 2.4
3 months ago 2 months ago
Scala Python
MIT License GNU General Public License v3.0 only
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.

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.

yadm

Posts with mentions or reviews of yadm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-07.

What are some alternatives?

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

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

GNU Stow - GNU Stow - mirror of savannah git repository occasionally with more bleeding-edge branches

chispa - PySpark test helper methods with beautiful error messages

chezmoi - Manage your dotfiles across multiple diverse machines, securely.

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

Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]

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.

dotbot - A tool that bootstraps your dotfiles ⚡️

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

homesick - Your home directory is your castle. Don't leave your dotfiles behind.

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

Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.