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

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for argenisleon from gravatar.com argenisleon Avatar for faviovazquez from gravatar.com faviovazquez

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (APACHE)
  • Author: Favio Vazquez
  • Tags datacleaner , apachespark , spark , pyspark , data-wrangling
Classifiers
Report project as malware

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 2.2.0

  • Python 3.5

  • 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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for argenisleon from gravatar.com argenisleon Avatar for faviovazquez from gravatar.com faviovazquez

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (APACHE)
  • Author: Favio Vazquez
  • Tags datacleaner , apachespark , spark , pyspark , data-wrangling
Classifiers

Release history Release notifications | RSS feed

2.2.32

2.2.29

2.2.28

2.2.27

2.2.26

2.2.25

2.2.24

2.2.22

2.2.21

2.2.20

2.2.19

2.2.18

2.2.17

2.2.16

2.2.15

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.1.5

2.1.4

2.1.3

2.1.1

2.1.0

2.0.8

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.0

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.8.3

0.8.1

0.7.7

0.7.6

This version

0.7.5

0.7.4

0.7.3

0.7.1

0.7.0

0.6.1

0.6.0

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.0

0.3.4

0.3.2

0.3.1

0.3.0

0.2.4

0.2.3

0.2.2

0.2.1

0.1.6

0.1.5.1

0.1.4

0.1.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

optimuspyspark-0.7.5.tar.gz (23.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

optimuspyspark-0.7.5-py3-none-any.whl (27.8 kB view details)

Uploaded Python 3

File details

Details for the file optimuspyspark-0.7.5.tar.gz.

File metadata

File hashes

Hashes for optimuspyspark-0.7.5.tar.gz
Algorithm Hash digest
SHA256 a2c21b6a900ed2ae15685b674af15d79f6b665e9c677e5534501e57c46d6349a
MD5 91864637f48f491c9728afd61513e3c1
BLAKE2b-256 101e4dcb9e454f67f7fd08779771ae381eddc30d4ecb783687006d878b57ecc8

See more details on using hashes here.

File details

Details for the file optimuspyspark-0.7.5-py3-none-any.whl.

File metadata

File hashes

Hashes for optimuspyspark-0.7.5-py3-none-any.whl
Algorithm Hash digest
SHA256 660b6dd96003490b118f42aeed517b46d3804f2a6b206784ddf0b90d600d54a9
MD5 654997704c1c54476e4d838f641793d3
BLAKE2b-256 be7e3d37fac445aef178aeadd1df82e06a33fa1143ada17b9279b06b4d918ee6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page