pyspark-on-aws-emr VS lithops

Compare pyspark-on-aws-emr vs lithops 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)

lithops

A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀 (by lithops-cloud)
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pyspark-on-aws-emr lithops
1 2
24 306
- 2.3%
3.6 9.5
almost 2 years ago 5 days 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.

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.

lithops

Posts with mentions or reviews of lithops. 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 lithops you can also consider the following projects:

docker-livy - Dockerizing and Consuming an Apache Livy environment

secrets-env - Extension to the crystal lang ENV module to support reading secrets

TypedPyspark - Type-annotate your spark dataframes and validate them

treequeues - High performance queues for pytree objects.

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.

livyc - Apache Spark as a Service with Apache Livy Client

IDEA - Text Data Visualizer with Django

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

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

data-engineering-challenge-th - Dockerizing a Python Script for Web Scraping and consume the scraped data using FastApi (www.metroscubicos.com)