pyspark-starter VS TypedPyspark

Compare pyspark-starter vs TypedPyspark and see what are their differences.

pyspark-starter

Starter pyspark code with a working combination of all versions (by ankur-gupta)

TypedPyspark

Type-annotate your spark dataframes and validate them (by getyourguide)
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pyspark-starter TypedPyspark
1 1
2 14
- -
5.5 2.4
9 months ago 8 months 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.

pyspark-starter

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

TypedPyspark

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

What are some alternatives?

When comparing pyspark-starter and TypedPyspark you can also consider the following projects:

spark-extension - A library that provides useful extensions to Apache Spark and PySpark.

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.

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.

soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

Hail - Cloud-native genomic dataframes and batch computing

pyspark-example-project - Implementing best practices for PySpark ETL jobs and applications.

ibis - the portable Python dataframe library

Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark