Open source software for E-Discovery and Information Retrieval
Project description
|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.github.io/doc/stable/engine <http://freediscovery.github.io/doc/stable/engine/>`_
* **FreeDiscovery Core** is a Python package that extends scikit-learn with additional information retrieval functionality.
See `freediscovery.github.io/doc/stable/python <http://freediscovery.github.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/
.. |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.github.io/doc/stable/engine <http://freediscovery.github.io/doc/stable/engine/>`_
* **FreeDiscovery Core** is a Python package that extends scikit-learn with additional information retrieval functionality.
See `freediscovery.github.io/doc/stable/python <http://freediscovery.github.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/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file freediscovery_stabilizer-1.5.dev0-py3-none-any.whl.
File metadata
- Download URL: freediscovery_stabilizer-1.5.dev0-py3-none-any.whl
- Upload date:
- Size: 1.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6477864346fa9ce2004a5835d2fb15063ef50adaf1323035bccddfc4b649a434
|
|
| MD5 |
9c23a53c7f6547f5b50a5b99fdc8b8de
|
|
| BLAKE2b-256 |
c5a438cdd9bfb00c358c3cdd275a6ddb0a9ec074bfe629c3b04f3e714714af5a
|