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 objects.
Documentation of HDMF can be found at https://hdmf.readthedocs.io.
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See the HDMF documentation <https://hdmf.readthedocs.io/en/stable/install_users.html>_.
This project and everyone participating in it is governed by our code of conduct guidelines <https://github.com/hdmf-dev/hdmf/blob/dev/.github/CODE_OF_CONDUCT.md>_. By participating, you are expected to uphold this code.
For details on how to contribute to HDMF see our contribution guidelines <https://github.com/hdmf-dev/hdmf/blob/dev/docs/CONTRIBUTING.rst>_.
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@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={}}
"hdmf" Copyright (c) 2017-2024, 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:
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FAQs
A hierarchical data modeling framework for modern science data standards
We found that hdmf demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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