Skip to main content

Package for working with Neurodata stored in the NWB format

Project description

docs/source/figures/logo_pynwb.png

PyNWB is a Python package for working with NWB files. The PyNWB documentation 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

Code Coverage

https://github.com/NeurodataWithoutBorders/pynwb/workflows/Run%20coverage/badge.svg

Overall test coverage

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

Unit test coverage

https://codecov.io/gh/NeurodataWithoutBorders/pynwb/branch/dev/graph/badge.svg?flag=unit

Integration test coverage

https://codecov.io/gh/NeurodataWithoutBorders/pynwb/branch/dev/graph/badge.svg?flag=integration

Overall Health

https://github.com/NeurodataWithoutBorders/pynwb/actions/workflows/run_tests.yml/badge.svg https://github.com/NeurodataWithoutBorders/pynwb/actions/workflows/run_flake8.yml/badge.svg https://github.com/NeurodataWithoutBorders/pynwb/actions/workflows/check_external_links.yml/badge.svg https://github.com/NeurodataWithoutBorders/pynwb/actions/workflows/run_inspector_tests.yml/badge.svg https://github.com/NeurodataWithoutBorders/pynwb/actions/workflows/run_all_tests.yml/badge.svg https://github.com/NeurodataWithoutBorders/pynwb/actions/workflows/deploy_release.yml/badge.svg Documentation Status PyPI - License

Conda

Conda Feedstock 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 (NWB) 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 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 https://pynwb.readthedocs.io/en/stable/install_users.html

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.

Citing NWB

  • Manuscript: Oliver Rübel, Andrew Tritt, Ryan Ly, Benjamin K Dichter, Satrajit Ghosh, Lawrence Niu, Pamela Baker, Ivan Soltesz, Lydia Ng, Karel Svoboda, Loren Frank, Kristofer E Bouchard. (2022). The Neurodata Without Borders ecosystem for neurophysiological data science. eLife, 11:e78362. doi: https://doi.org/10.7554/eLife.78362

  • RRID: (PyNWB, RRID:SCR_017452)

LICENSE

“pynwb” Copyright (c) 2017-2023, 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-2.3.3.tar.gz (619.2 kB view details)

Uploaded Source

Built Distribution

pynwb-2.3.3-py3-none-any.whl (131.9 kB view details)

Uploaded Python 3

File details

Details for the file pynwb-2.3.3.tar.gz.

File metadata

  • Download URL: pynwb-2.3.3.tar.gz
  • Upload date:
  • Size: 619.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pynwb-2.3.3.tar.gz
Algorithm Hash digest
SHA256 a072815277912fdacdd67f10edfd763e05fe6016a5353b67dcc837d525daee14
MD5 b7c1a83a2be921e83824a077a282a27b
BLAKE2b-256 586de4f80f11a1ee438c6c25fbc121b1564b9bc14fd2463428e33ce65322d77a

See more details on using hashes here.

File details

Details for the file pynwb-2.3.3-py3-none-any.whl.

File metadata

  • Download URL: pynwb-2.3.3-py3-none-any.whl
  • Upload date:
  • Size: 131.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for pynwb-2.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 28b7448b627483e64cf5efaa066735c9b6944045507b7e117e05bee59e9bd9f2
MD5 94fdb58733a820d92a0a7b9d32482850
BLAKE2b-256 79340c3a1a757817a2b8f440bb0f947fbadd30ee5afd110875bbb9263a9176e9

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