karps
Experimental Haskell bindings to Spark Datasets and DataFrames (by krapsh)
docker-livy
Dockerizing and Consuming an Apache Livy environment (by Wittline)
Our great sponsors
| karps | docker-livy | |
|---|---|---|
| - | 1 | |
| 26 | 11 | |
| - | - | |
| 0.0 | 0.0 | |
| about 7 years ago | almost 2 years ago | |
| HTML | HTML | |
| 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.
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.
karps
Posts with mentions or reviews of karps.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning karps yet.
Tracking mentions began in Dec 2020.
docker-livy
Posts with mentions or reviews of docker-livy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
-
Data Engineering Projects for Beginners
Dockerizing and Consuming an Apache Livy environment
What are some alternatives?
When comparing karps and docker-livy you can also consider the following projects:
Judy Graph DB - A graph database with cypher like queries using judy arrays
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.