pyspark-on-aws-emr VS TypedPyspark

Compare pyspark-on-aws-emr vs TypedPyspark and see what are their differences.

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. (by Wittline)

TypedPyspark

Type-annotate your spark dataframes and validate them (by getyourguide)
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pyspark-on-aws-emr TypedPyspark
1 1
24 14
- -
3.6 2.4
almost 2 years ago 7 months 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.
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pyspark-on-aws-emr

Posts with mentions or reviews of pyspark-on-aws-emr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

TypedPyspark

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

What are some alternatives?

When comparing pyspark-on-aws-emr and TypedPyspark you can also consider the following projects:

docker-livy - Dockerizing and Consuming an Apache Livy environment

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

demo-code - Bits of code I use during live demos

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.

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

livyc - Apache Spark as a Service with Apache Livy Client

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

IDEA - Text Data Visualizer with Django

ibis - the portable Python dataframe library

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