soda-spark
Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes (by sodadata)
pyspark-example-project
Implementing best practices for PySpark ETL jobs and applications. (by AlexIoannides)
| soda-spark | pyspark-example-project | |
|---|---|---|
| 1 | 1 | |
| 60 | 1,370 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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.
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.
soda-spark
Posts with mentions or reviews of soda-spark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-23.
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How do you test your pipelines?
Since you already have Spark setup, perhaps it would be easier to build a DataFrames by loading data from different tables and validate it in one go ? You can give soda-spark a try (disclosure: I'm one of the developers), using which you can specify your checks using YAML declaratively and run the validations in spark jobs.
pyspark-example-project
Posts with mentions or reviews of pyspark-example-project.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Learning Pyspark for a new role
https://github.com/AlexIoannides/pyspark-example-project You can use this as an example to organize your project. I have referred to this in the past.
What are some alternatives?
When comparing soda-spark and pyspark-example-project you can also consider the following projects:
great_expectations - Always know what to expect from your data.
Apache-Spark-Guide - Apache Spark Guide
monosi - Open source data observability platform
patterns-devkit - Data pipelines from re-usable components
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai