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

Project description

Optimus is the missing framework 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 2.2.0
  • Python>=3.6
  • Installation:

In your terminal just type:

$ pip install optimuspyspark

  • Contributors:
  • Project Manager: Argenis León.
  • Original Developers: Andrea Rosales, Hugo Reyes, Alberto Bonsanto.
  • Principal developer and maintainer: Favio Vázquez.
  • License:

Apache 2.0 © Iron

Project details


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1.2.6

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1.2.5

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Filename, size & hash SHA256 hash help File type Python version Upload date
optimuspyspark-1.2.6-py3-none-any.whl (42.0 kB) Copy SHA256 hash SHA256 Wheel py3 Jun 20, 2018
optimuspyspark-1.2.6.tar.gz (40.2 kB) Copy SHA256 hash SHA256 Source None Jun 20, 2018

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