multielectrode_grasp/code/python-neo/PKG-INFO

Metadata-Version: 2.1
Name: neo
Version: 0.9.0
Summary: Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats
Home-page: https://neuralensemble.org/neo
Author: Neo authors and contributors
Author-email: samuel.garcia@cnrs.fr
License: BSD-3-Clause
Description: ===
        Neo
        ===
        
        Neo is a Python package for working with electrophysiology data in Python, together
        with support for reading a wide range of neurophysiology file formats, including
        Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for
        writing to a subset of these formats plus non-proprietary formats including HDF5.
        
        The goal of Neo is to improve interoperability between Python tools for
        analyzing, visualizing and generating electrophysiology data by providing a common,
        shared object model. In order to be as lightweight a dependency as possible,
        Neo is deliberately limited to represention of data, with no functions for data
        analysis or visualization.
        
        Neo is used by a number of other software tools, including
        SpykeViewer_ (data analysis and visualization), Elephant_ (data analysis),
        the G-node_ suite (databasing), PyNN_ (simulations), tridesclous_ (spike sorting)
        and ephyviewer_ (data visualization).
        OpenElectrophy_ (data analysis and visualization) uses an older version of neo.
        
        Neo implements a hierarchical data model well adapted to intracellular and
        extracellular electrophysiology and EEG data with support for multi-electrodes
        (for example tetrodes). Neo's data objects build on the quantities package,
        which in turn builds on NumPy by adding support for physical dimensions. Thus
        Neo objects behave just like normal NumPy arrays, but with additional metadata,
        checks for dimensional consistency and automatic unit conversion.
        
        A project with similar aims but for neuroimaging file formats is `NiBabel`_.
        
        Code status
        -----------
        
        .. image:: https://travis-ci.org/NeuralEnsemble/python-neo.png?branch=master
           :target: https://travis-ci.org/NeuralEnsemble/python-neo
           :alt: Unit Test Status (TravisCI)
        .. image:: https://circleci.com/gh/NeuralEnsemble/python-neo.svg?style=svg
            :target: https://circleci.com/gh/NeuralEnsemble/python-neo
            :alt: Unit Test Status (CircleCI)
        .. image:: https://coveralls.io/repos/NeuralEnsemble/python-neo/badge.png
           :target: https://coveralls.io/r/NeuralEnsemble/python-neo
           :alt: Unit Test Coverage
        .. image:: https://requires.io/github/NeuralEnsemble/python-neo/requirements.png?branch=master
           :target: https://requires.io/github/NeuralEnsemble/python-neo/requirements/?branch=master
           :alt: Requirements Status
        
        More information
        ----------------
        
        - Home page: http://neuralensemble.org/neo
        - Mailing list: https://groups.google.com/forum/?fromgroups#!forum/neuralensemble
        - Documentation: http://neo.readthedocs.io/
        - Bug reports: https://github.com/NeuralEnsemble/python-neo/issues
        
        For installation instructions, see doc/source/install.rst
        
        To cite Neo in publications, see CITATION.txt
        
        :copyright: Copyright 2010-2020 by the Neo team, see doc/source/authors.rst.
        :license: 3-Clause Revised BSD License, see LICENSE.txt for details.
        
        Funding
        -------
        
        Development of PyNN has been partially funded by the European Union Sixth Framework Program (FP6) under
        grant agreement FETPI-015879 (FACETS), by the European Union Seventh Framework Program (FP7/2007­-2013)
        under grant agreements no. 269921 (BrainScaleS) and no. 604102 (HBP),
        and by the European Union’s Horizon 2020 Framework Programme for
        Research and Innovation under the Specific Grant Agreements No. 720270 (Human Brain Project SGA1),
        No. 785907 (Human Brain Project SGA2) and No. 945539 (Human Brain Project SGA3).
        
        .. _OpenElectrophy: https://github.com/OpenElectrophy/OpenElectrophy
        .. _Elephant: http://neuralensemble.org/elephant
        .. _G-node: http://www.g-node.org/
        .. _Neuroshare: http://neuroshare.org/
        .. _SpykeViewer: https://spyke-viewer.readthedocs.org/en/latest/
        .. _NiBabel: http://nipy.sourceforge.net/nibabel/
        .. _PyNN: http://neuralensemble.org/PyNN
        .. _quantities: http://pypi.python.org/pypi/quantities
        .. _`NeuralEnsemble mailing list`: http://groups.google.com/group/neuralensemble
        .. _`issue tracker`: https://github.c
        .. _tridesclous: https://github.com/tridesclous/tridesclous
        .. _ephyviewer: https://github.com/NeuralEnsemble/ephyviewer
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Provides-Extra: tiffio
Provides-Extra: hdf5io
Provides-Extra: neomatlabio
Provides-Extra: kwikio
Provides-Extra: igorproio
Provides-Extra: stimfitio
Provides-Extra: nixio