The Hierarchical Data Modeling Framework
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
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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.
For details on how to contribute to HDMF see our contribution guidelines.
"hdmf" Copyright (c) 2017-2019, 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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"hdmf" Copyright (c) 2017-2019, 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. If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Innovation & Partnerships Office at IPO@lbl.gov.
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