Metadata-Version: 2.1
Name: nemoa
Version: 0.5.581
Summary: enterprise data analysis
Home-page: https://frootlab.github.io/nemoa
Author: frootlab
Author-email: frootlab@gmail.com
License: GPLv3
Keywords: data-analysis enterprise-data-analysis data-science collaborative-data-science data-visualization machine-learning artificial-intelligence deep-learning probabilistic-graphical-model
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
Requires-Dist: ipython (>=7.1)
Requires-Dist: matplotlib (>=3.0)
Requires-Dist: networkx (>=2.1)
Requires-Dist: numpy (>=1.15)
Requires-Dist: flib (>=0.9.0)
Requires-Dist: pandb (>=0.1.8)
Provides-Extra: gene
Requires-Dist: rpy2 ; extra == 'gene'
Provides-Extra: gui
Requires-Dist: pyside ; extra == 'gui'

Nemoa
=====

.. image:: https://travis-ci.org/frootlab/nemoa.svg?branch=master
   :target: https://travis-ci.org/frootlab/nemoa

.. image:: https://readthedocs.org/projects/nemoa/badge/?version=latest
    :target: https://nemoa.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: https://badge.fury.io/py/nemoa.svg
    :target: https://badge.fury.io/py/nemoa

*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`_.

- **Documentation**: https://nemoa.readthedocs.io
- **Issues**: https://github.com/frootlab/nemoa/issues
- **Source**: https://github.com/frootlab/nemoa

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>

.. _Python: https://www.python.org/
.. _TensorFlow®: https://www.tensorflow.org/
.. _SQLAlchemy: https://www.sqlalchemy.org/
.. _GPLv3 license: https://www.gnu.org/licenses/gpl.html
.. _issue tracker: https://github.com/frootlab/nemoa/issues
.. _frootlab: https://github.com/frootlab
.. _probabilistic graphical modeling:
    https://en.wikipedia.org/wiki/Graphical_model
.. _machine learning: https://en.wikipedia.org/wiki/Machine_learning
.. _structured data-analysis:
    https://en.wikipedia.org/wiki/Structured_data_analysis_(statistics)
.. _GPLv3 license: https://www.gnu.org/licenses/gpl.html
.. _issue tracker: https://github.com/frootlab/nemoa/issues
.. _google group: http://groups.google.com/group/nemoa
.. _FrootLab: https://github.com/frootlab


