pyspark-on-aws-emr VS pyDag

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

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pyspark-on-aws-emr pyDag
1 2
24 24
- -
3.6 0.0
almost 2 years ago over 1 year 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.

pyDag

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

What are some alternatives?

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

docker-livy - Dockerizing and Consuming an Apache Livy environment

distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points

TypedPyspark - Type-annotate your spark dataframes and validate them

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

livyc - Apache Spark as a Service with Apache Livy Client

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.

pubsub2inbox - Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything.

p_tqdm - Parallel processing with progress bars

IDEA - Text Data Visualizer with Django

breaking_cycles_in_noisy_hierarchies - breaking cycles in noisy hierarchies