Skip to main content

Package for working with Neurodata stored in the NWB format

Project description

Documentation of PyNWB can be found at https://pynwb.readthedocs.io

Latest Release

https://badge.fury.io/py/pynwb.svg https://anaconda.org/conda-forge/pynwb/badges/version.svg

Build Status

Linux

macOS

Windows

https://circleci.com/gh/NeurodataWithoutBorders/pynwb.svg?style=shield https://travis-ci.org/NeurodataWithoutBorders/pynwb.svg?branch=dev https://ci.appveyor.com/api/projects/status/9y808ua44yldy5n3?svg=true

Conda

https://circleci.com/gh/conda-forge/pynwb-feedstock.svg?style=shield

Overall Health

https://codecov.io/gh/NeurodataWithoutBorders/pynwb/branch/dev/graph/badge.svg Requirements Status

NWB Format API

PyNWB is a Python package for working with NWB files. It provides a high-level API for efficiently working with Neurodata stored in the NWB format.

Neurodata Without Borders: Neurophysiology (NWB:N) is a project to develop a unified data format for cellular-based neurophysiology data, focused on the dynamics of groups of neurons measured under a large range of experimental conditions.

The NWB:N team consists of neuroscientists and software developers who recognize that adoption of a unified data format is an important step toward breaking down the barriers to data sharing in neuroscience.

Installation

See the PyNWB documentation for details http://pynwb.readthedocs.io/en/latest/getting_started.html#installation

Code of Conduct

This project and everyone participating in it is governed by our code of conduct guidelines . By participating, you are expected to uphold this code.

Contributing

For details on how to contribute to PyNWB see our contribution guidelines .

LICENSE

“pynwb” Copyright (c) 2017, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

  3. Neither the name of the University of California, Lawrence Berkeley National Laboratory, U.S. Dept. of Energy nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

You are under no obligation whatsoever to provide any bug fixes, patches, or upgrades to the features, functionality or performance of the source code (“Enhancements”) to anyone; however, if you choose to make your Enhancements available either publicly, or directly to Lawrence Berkeley National Laboratory, without imposing a separate written license agreement for such Enhancements, then you hereby grant the following license: a non-exclusive, royalty-free perpetual license to install, use, modify, prepare derivative works, incorporate into other computer software, distribute, and sublicense such enhancements or derivative works thereof, in binary and source code form.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pynwb-1.0.1.tar.gz (190.2 kB view details)

Uploaded Source

Built Distribution

pynwb-1.0.1-py2.py3-none-any.whl (96.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pynwb-1.0.1.tar.gz.

File metadata

  • Download URL: pynwb-1.0.1.tar.gz
  • Upload date:
  • Size: 190.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.0

File hashes

Hashes for pynwb-1.0.1.tar.gz
Algorithm Hash digest
SHA256 96d1d56f4a9638732ff61eba7ff540b119fb0396a3966e0df5152b4b69e401fc
MD5 253cf0843d1c41e9a893f7e3ef1d887c
BLAKE2b-256 1b6cdcd7bcb806db81bb210e3a310eb537ef1ba0ac38c7e4d2da17edeba52687

See more details on using hashes here.

File details

Details for the file pynwb-1.0.1-py2.py3-none-any.whl.

File metadata

  • Download URL: pynwb-1.0.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 96.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.0

File hashes

Hashes for pynwb-1.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 71f62a20ad62837af142dd7e152e44da6d128129e7edb3232d95eea5d1710127
MD5 378c30bbfb70100ac03497fd381bfdf5
BLAKE2b-256 77f6b347abb70acb558337006a23c30baa2a0f70720266310544b64debf8d745

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page