Metadata-Version: 2.0
Name: freediscovery
Version: 1.3.0
Summary: Open source software for E-Discovery and Information Retrieval
Home-page: https://github.com/FreeDiscovery/FreeDiscovery
Author: Grossman Labs
Author-email: UNKNOWN
License: BSD
Description-Content-Type: UNKNOWN
Keywords: information-retrieval machine-learning text-classification
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Legal Industry
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing :: General
Provides-Extra: core
Requires-Dist: numpy (>=1.10.1); extra == 'core'
Requires-Dist: pandas (>=0.18.0,<0.21); extra == 'core'
Requires-Dist: scikit-learn (>=0.18.0); extra == 'core'
Requires-Dist: scipy (>=0.16.1); extra == 'core'
Provides-Extra: engine
Requires-Dist: flask (>=0.12.0); extra == 'engine'
Requires-Dist: flask-apispec (>=0.3.2); extra == 'engine'
Requires-Dist: marshmallow (>=2.12.2); extra == 'engine'
Requires-Dist: nltk (>=3.2.1); extra == 'engine'
Requires-Dist: numpy (>=1.10.1); extra == 'engine'
Requires-Dist: pandas (>=0.18.0,<0.21); extra == 'engine'
Requires-Dist: pytest (>=3.0.1); extra == 'engine'
Requires-Dist: requests (>=2.7.0); extra == 'engine'
Requires-Dist: scikit-learn (>=0.18.0); extra == 'engine'
Requires-Dist: scipy (>=0.16.1); extra == 'engine'
Requires-Dist: webargs (>=1.5.3); extra == 'engine'

|logo1|

.. |logo1| image:: https://freediscovery.github.io/static/freediscovery-full-logo-v2.png
    :scale: 80 %

.. image:: https://img.shields.io/pypi/v/freediscovery.svg
    :target: https://pypi.python.org/pypi/freediscovery

.. image:: https://anaconda.org/conda-forge/freediscovery/badges/version.svg
  :target: https://github.com/conda-forge/freediscovery-feedstock

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

.. image:: https://ci.appveyor.com/api/projects/status/w5kjscmqlrlehp5t/branch/master?svg=true
    :target: https://ci.appveyor.com/project/FreeDiscovery/freediscovery/branch/master

.. image:: https://codecov.io/gh/FreeDiscovery/FreeDiscovery/branch/master/graph/badge.svg
  :target: https://codecov.io/gh/FreeDiscovery/FreeDiscovery


FreeDiscovery is an open source e-Discovery and information retrieval engine. It is based on the scikit-learn library and has two main components,

* **FreeDiscovery Engine** provides a REST API for information retrieval applications. It aims to benefit existing e-Discovery and information retrieval platforms with a focus on text categorization, semantic search, document clustering, duplicates detection and e-mail threading.

  See `freediscovery.io/doc/stable/engine <http://freediscovery.io/doc/stable/engine/>`_
* **FreeDiscovery Core** is a Python package that extends scikit-learn with additional information retrieval functionality.

  See `freediscovery.io/doc/stable/python <http://freediscovery.io/doc/stable/python/>`_


FreeDiscovery is released under the 3-clause BSD licence.

|logo2|     |logo3|


.. |logo2| image:: https://freediscovery.github.io/static/grossmanlabs-old-logo-small.gif
    :target: http://www.grossmanlabs.com/

.. |logo3| image:: https://freediscovery.github.io/static/1D_logo_stacked.png
    :target: https://www.onediscovery.com/


