MyVoteAWS VS covid-19-data-engineering-pipeline

Compare MyVoteAWS vs covid-19-data-engineering-pipeline and see what are their differences.

MyVoteAWS

beginner aws project to learn how various components work - build voting app (by erjan)

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. (by moritzkoerber)
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MyVoteAWS covid-19-data-engineering-pipeline
2 1
3 22
- -
10.0 5.3
over 1 year ago 6 months ago
Python Python
Apache License 2.0 MIT License
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.

MyVoteAWS

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

covid-19-data-engineering-pipeline

Posts with mentions or reviews of covid-19-data-engineering-pipeline. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing MyVoteAWS and covid-19-data-engineering-pipeline you can also consider the following projects:

dataall - A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.

awesome-chalice - Discover the power of AWS Chalice, the ultimate framework for crafting seamless Python serverless applications. With Chalice, you can effortlessly build and manage HTTPS APIs, create web apps using popular front-end toolkits, and serve as the backend for cross-platform desktop and mobile apps developed with Qt for Python.

F2-Data-Pipeline - Pipeline for Automated Updates of Kaggle's "Formula 2 Dataset"

lambda2docker - Generate a Dockerfile from an AWS Lambda function

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.

Patek - A collection of reusable pyspark utility functions that help make development easier!

livyc - Apache Spark as a Service with Apache Livy Client

AWS-Guide - Amazon Web Services (AWS) Guide. Learn all about Amazon Web Services Tools, Services, and Certifications.