Skip to main content

A package for standardizing hierarchical object data

Project description

The Hierarchical Data Modeling Framework, or HDMF, is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object.

Documentation of HDMF can be found at https://hdmf.readthedocs.io

Latest Release

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

Build Status

Linux

Windows and macOS

https://circleci.com/gh/hdmf-dev/hdmf.svg?style=shield https://dev.azure.com/hdmf-dev/hdmf/_apis/build/status/hdmf-dev.hdmf?branchName=dev

Conda

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

Overall Health

https://github.com/hdmf-dev/hdmf/workflows/Run%20coverage/badge.svg https://codecov.io/gh/hdmf-dev/hdmf/branch/dev/graph/badge.svg Requirements Status Documentation Status

Installation

See the HDMF documentation for details http://hdmf.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 HDMF see our contribution guidelines.

Citing HDMF

  • Manuscript:

@INPROCEEDINGS{9005648,
  author={A. J. {Tritt} and O. {Rübel} and B. {Dichter} and R. {Ly} and D. {Kang} and E. F. {Chang} and L. M. {Frank} and K. {Bouchard}},
  booktitle={2019 IEEE International Conference on Big Data (Big Data)},
  title={HDMF: Hierarchical Data Modeling Framework for Modern Science Data Standards},
  year={2019},
  volume={},
  number={},
  pages={165-179},
  doi={10.1109/BigData47090.2019.9005648},
  note={}}
  • RRID: (Hierarchical Data Modeling Framework, RRID:SCR_021303)

LICENSE

“hdmf” Copyright (c) 2017-2021, 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


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 Distribution

hdmf-3.1.0.tar.gz (292.3 kB view details)

Uploaded Source

Built Distribution

hdmf-3.1.0-py3-none-any.whl (173.7 kB view details)

Uploaded Python 3

File details

Details for the file hdmf-3.1.0.tar.gz.

File metadata

  • Download URL: hdmf-3.1.0.tar.gz
  • Upload date:
  • Size: 292.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.2

File hashes

Hashes for hdmf-3.1.0.tar.gz
Algorithm Hash digest
SHA256 0e2b2b114795cfeadac149f7577e3a09a07464ac1a2c8f4e1efad7be64858406
MD5 e96c8f98777e9b099bae6b73f1f6266c
BLAKE2b-256 7117e5eb1c9c0e6d95367001dec041677a6f4351bd5aa1a1a978d3081e3d67b2

See more details on using hashes here.

File details

Details for the file hdmf-3.1.0-py3-none-any.whl.

File metadata

  • Download URL: hdmf-3.1.0-py3-none-any.whl
  • Upload date:
  • Size: 173.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.2

File hashes

Hashes for hdmf-3.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 070e3e4dd9cfe1919142ef48ebfcfe6be8ef1db675d0ecc9cd4340914cf89751
MD5 c18af8640da71fa6e3b7f1fe6e51d131
BLAKE2b-256 d5b588509a057bf330b57bdbd009d7519e90482bd730cfb105ad549f5bf569cf

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