livyc VS yaetos

Compare livyc vs yaetos and see what are their differences.

yaetos

Write data & AI pipelines in (SQL, Spark, Pandas) and deploy to the cloud, simplified (by arthurprevot)
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livyc yaetos
2 1
3 32
- -
0.0 9.5
over 1 year ago 23 days ago
Python Python
MIT License 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.

livyc

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

yaetos

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

What are some alternatives?

When comparing livyc and yaetos you can also consider the following projects:

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.

DataEngineeringProject - Example end to end data engineering project.

Apache-Spark-Guide - Apache Spark Guide

AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag

sayn - Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

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.

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.

data-engineer-challenge - Challenge Data Engineer