spark-daria VS yadm

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

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spark-daria yadm
4 81
742 4,792
- -
0.0 2.4
about 2 years ago 3 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-daria

Posts with mentions or reviews of spark-daria. 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.
  • Is Spark - The Defenitive Guide outdated?
    2 projects | /r/apachespark | 1 Jul 2021
    They spent a lot of effort improving the catalyst engine under the hood too and making it easier to extend and improve it in the future. Making it easy to add your own native code to Spark itself. Shameless plug of a blog post I wrote on this subject which basically reiterates what Matthew Powers, author of Spark Daria and quinn, wrote here.
  • 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-daria and yadm you can also consider the following projects:

chispa - PySpark test helper methods with beautiful error messages

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

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉

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

Task - A task runner / simpler Make alternative written in Go

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

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

dotbot - A tool that bootstraps your dotfiles ⚡️

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

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

dagster - An orchestration platform for the development, production, and observation of data assets.

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.