spark-fast-tests VS Nullboard

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

spark-fast-tests

Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit) (by MrPowers)

Nullboard

Nullboard is a minimalist kanban board, focused on compactness and readability. (by apankrat)
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spark-fast-tests Nullboard
6 15
418 2,473
- -
0.0 5.3
3 months ago 6 months ago
Scala HTML
MIT License GNU General Public License v3.0 or later
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.

Nullboard

Posts with mentions or reviews of Nullboard. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-12.

What are some alternatives?

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

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

react-tech-tree - React visual tree components. Demo: https://ldd.github.io/react-tech-tree/

chispa - PySpark test helper methods with beautiful error messages

Kanboard - Kanban project management software

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

sleek - todo.txt manager for Linux, Windows and MacOS, free and open-source (FOSS)

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.

logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.

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

Wekan - The Open Source kanban (built with Meteor). Keep variable/table/field names camelCase. For translations, only add Pull Request changes to wekan/i18n/en.i18n.json , other translations are done at https://app.transifex.com/wekan/wekan only.

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

TiddlyWiki - A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.