TypedPyspark
Type-annotate your spark dataframes and validate them (by getyourguide)
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)
Our great sponsors
TypedPyspark | pyspark-on-aws-emr | |
---|---|---|
1 | 1 | |
14 | 24 | |
- | - | |
2.4 | 3.6 | |
7 months ago | almost 2 years 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.
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.
TypedPyspark
Posts with mentions or reviews of TypedPyspark.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
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Data Engineering Projects for Beginners
Building Big Data Pipelines in the Cloud with AWS EMR
What are some alternatives?
When comparing TypedPyspark and pyspark-on-aws-emr you can also consider the following projects:
pyspark-starter - Starter pyspark code with a working combination of all versions
docker-livy - Dockerizing and Consuming an Apache Livy environment