Hierarchical Data Format
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A Hierarchical Data Format is a file format designed for large numeric data files.
- Context:
- It can (often) be used to store Hierarchical Data.
- …
- Example(s):
- See: National Center For Supercomputing Applications, Scientific Data Format, JSON.
References
2018
- https://docs.python.org/3/library/xml.etree.elementtree.html
- QUOTE: ... XML is an inherently hierarchical data format, and the most natural way to represent it is with a tree. …
2017
- (Wikipedia, 2017) ⇒ https://en.wikipedia.org/wiki/Hierarchical_Data_Format Retrieved:2017-9-8.
- Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data. Originally developed at the National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
In keeping with this goal, the HDF libraries and associated tools are available under a liberal, BSD-like license for general use. HDF is supported by many commercial and non-commercial software platforms, including Java, MATLAB, Scilab, Octave, Mathematica, IDL, Python, R, and Julia. The freely available HDF distribution consists of the library, command-line utilities, test suite source, Java interface, and the Java-based HDF Viewer (HDFView). [1]
The current version, HDF5, differs significantly in design and API from the major legacy version HDF4.
- Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data. Originally developed at the National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.