Optimus is the missing library for cleaning and preprocessing data in a distributed fashion with pyspark.

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License: Apache Software License (APACHE)

Author: Favio Vazquez

Tags datacleaner, apachespark, spark, pyspark, data-wrangling

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Project description

Optimus is the missing library for cleaning and pre-processing data in a distributed fashion. It uses all the power of Apache Spark (optimized via Catalyst) to do it. It implements several handy tools for data wrangling and munging that will make your life much easier. The first obvious advantage over any other public data cleaning library is that it will work on your laptop or your big cluster, and second, it is amazingly easy to install, use and understand.

Requirements:

  • Apache Spark 1.6

  • Python 3.5

## Installation:

In your terminal just type:

$ pip install optimuspyspark

Contributors:

  • Original Developers: Andrea Rosales, Hugo Reyes.

  • Principal developer and maintainer: Favio Vázquez.

License:

Apache 2.0 © Iron

Project details

Verified details

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Avatar for argenisleon from gravatar.com argenisleon Avatar for faviovazquez from gravatar.com faviovazquez

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GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: Apache Software License (APACHE)

Author: Favio Vazquez

Tags datacleaner, apachespark, spark, pyspark, data-wrangling

Classifiers

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2.2.32

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This version

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