Metadata-Version: 2.1
Name: nemoa
Version: 0.5.578
Summary: enterprise data analysis
Home-page: https://frootlab.github.io/nemoa
Author: frootlab
Author-email: frootlab@gmail.com
License: GPLv3
Description: 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 Nemoa 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
        
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
Provides-Extra: gui
Provides-Extra: gene
