PySpark-Boilerplate VS Patek

Compare PySpark-Boilerplate vs Patek and see what are their differences.

Patek

A collection of reusable pyspark utility functions that help make development easier! (by kharigardner)
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PySpark-Boilerplate Patek
1 1
390 0
- -
2.5 10.0
3 months 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.

PySpark-Boilerplate

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

Patek

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

What are some alternatives?

When comparing PySpark-Boilerplate and Patek you can also consider the following projects:

ibis - the portable Python dataframe library

Apache-Spark-Guide - Apache Spark Guide

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

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.

cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

covid-19-data-engineering-pipeline - A Covid-19 data pipeline on AWS featuring PySpark/Glue, Docker, Great Expectations, Airflow, and Redshift, templated in CloudFormation and CDK, deployable via Github Actions.

etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration

dataproc-templates - Dataproc templates and pipelines for solving simple in-cloud data tasks

soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉