PySpark-Boilerplate VS Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data

Compare PySpark-Boilerplate vs Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data and see what are their differences.

PySpark-Boilerplate

A boilerplate for writing PySpark Jobs (by ekampf)
Python apache-spark Pyspark Boilerplate
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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. (by zekeriyyaa)
Spark MongoDB Mssql Python agv Data Visualization Pyqt5 Data Analysis industrial-robot apache-spark Big Data Pyspark mobile-robot
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PySpark-Boilerplate Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data
1 1
390 10
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2.5 0.0
3 months ago about 2 years ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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PySpark-Boilerplate

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

Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data

Posts with mentions or reviews of Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PySpark-Boilerplate and Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data you can also consider the following projects:

ibis - the portable Python dataframe library

livyc - Apache Spark as a Service with Apache Livy Client

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

Apache-Spark-Guide - Apache Spark Guide

cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.

pyspark-starter - Starter pyspark code with a working combination of all versions

etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration

spark_app_twitter - A data engineering project (Twitter monitor app)

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

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.

tdigest - t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark

TypedPyspark - Type-annotate your spark dataframes and validate them

PySpark-Boilerplate vs ibis Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data vs livyc PySpark-Boilerplate vs Optimus Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data vs Apache-Spark-Guide PySpark-Boilerplate vs cookiecutter-django Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data vs pyspark-starter PySpark-Boilerplate vs etl-markup-toolkit Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data vs spark_app_twitter PySpark-Boilerplate vs soda-spark Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data vs pyspark-on-aws-emr PySpark-Boilerplate vs tdigest Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data vs TypedPyspark