TypedPyspark VS pyspark-starter

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

TypedPyspark

Type-annotate your spark dataframes and validate them (by getyourguide)

pyspark-starter

Starter pyspark code with a working combination of all versions (by ankur-gupta)
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TypedPyspark pyspark-starter
1 1
14 2
- -
2.4 5.5
7 months ago 8 months ago
Python Python
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.

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-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.

What are some alternatives?

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

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.

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

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

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

Hail - Cloud-native genomic dataframes and batch computing

ibis - the portable Python dataframe library

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