Skip to main content

enterprise data analysis

Project description

https://travis-ci.org/frootlab/nemoa.svg?branch=master Documentation Status https://badge.fury.io/py/nemoa.svg

Nemoa is a data analysis framework for collaborative data science and enterprise application. Nemoa is open source and based on the Python programming language.

The key goal of Nemoa is to provide a long-term data analysis framework, which seemingly integrates into existing enterprise data environments and thereby supports collaborative data science. To achieve this goal Nemoa orchestrates established frameworks like TensorFlow® and SQLAlchemy and dynamically extends their capabilities by community driven algorithms for probabilistic graphical modeling, machine learning and structured data-analysis.

Install

Install the latest version of nemoa:

$ pip install nemoa

Contribute

Contributors are very welcome! Feel free to report bugs and feature requests to the issue tracker provided by GitHub. You can also follow the progress of the project by joining the google group.

License

Nemoa is available free for any use under the GPLv3 license:

Copyright (c) 2019 Frootlab Developers
Patrick Michl <patrick.michl@gmail.com>

Project details


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
nemoa-0.5.579-py3-none-any.whl (412.4 kB) Copy SHA256 hash SHA256 Wheel py3
nemoa-0.5.579.tar.gz (334.5 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page