dataproc-templates VS Patek

Compare dataproc-templates vs Patek and see what are their differences.

dataproc-templates

Dataproc templates and pipelines for solving simple in-cloud data tasks (by GoogleCloudPlatform)

Patek

A collection of reusable pyspark utility functions that help make development easier! (by kharigardner)
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dataproc-templates Patek
1 1
111 0
4.5% -
8.7 10.0
2 days ago over 1 year 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.
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.

dataproc-templates

Posts with mentions or reviews of dataproc-templates. 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 dataproc-templates and Patek you can also consider the following projects:

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

Apache-Spark-Guide - Apache Spark Guide

ethereum-etl-airflow - Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee

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.

weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard

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.

forseti-security - Forseti Security

PySpark-Boilerplate - A boilerplate for writing PySpark Jobs

bigquery-utils - Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.

quinn - pyspark methods to enhance developer productivity 📣 👯 🎉

gcp-flowlogs-reader - Command line tool and Python library for working with Google Cloud VPC Flow Logs

ibis - the portable Python dataframe library