TypedPyspark VS soda-spark

Compare TypedPyspark vs soda-spark and see what are their differences.

TypedPyspark

Type-annotate your spark dataframes and validate them (by getyourguide)

soda-spark

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes (by sodadata)
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TypedPyspark soda-spark
1 1
14 60
- -
2.4 0.0
7 months ago almost 2 years ago
Python Python
Apache License 2.0 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.
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TypedPyspark

Posts with mentions or reviews of TypedPyspark. We have used some of these posts to build our list of alternatives and similar projects.

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.
  • How do you test your pipelines?
    3 projects | /r/dataengineering | 23 Jan 2022
    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.

What are some alternatives?

When comparing TypedPyspark and soda-spark you can also consider the following projects:

pyspark-starter - Starter pyspark code with a working combination of all versions

great_expectations - Always know what to expect from your data.

pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.

pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.

Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.

monosi - Open source data observability platform

PySpark-Boilerplate - A boilerplate for writing PySpark Jobs

ibis - the portable Python dataframe library

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

data-caterer - Data generation and validation tool for any data source