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'''Hierarchical Data Format''', commonly abbreviated '''HDF'''
HDF supports several different data models, including multidimensional arrays, raster images, and tables. Each defines a specific aggregate data type and provides an [[Application Programming Interface|API]] for reading, writing, and
HDF is self-describing, allowing an application to interpret the structure and contents of a file without any outside information. One HDF file can hold a mixture of related objects which can be accessed as a group or as individual objects. Users can create their own grouping structures called "vgroups."
==HDF5==
The HDF5 format is designed to address some of the limitations of the HDF4 library, and to address current and anticipated requirements of modern systems and applications.▼
The next version of [[NetCDF]], version 4, is based on HDF5.
▲some of the limitations of the HDF4 library, and to address current and anticipated
==Interfaces==
===Low-level APIs===
* [[C programming language|C]]
* [[C++]]
* [[Fortran]]
* [[F90]]
* [[Java_programming_language|Java]]
* [http://www.pytables.org/ PyTables] – an interface for [[Python programming language|Python]]
===High-level APIs===
* [http://hdf.ncsa.uiuc.edu/HDF5/doc/Tutor/h5lite.html HDF5 Lite] (H5LT) – a light-weight interface for C
* [http://hdf.ncsa.uiuc.edu/HDF5/doc/Tutor/h5image.html HDF5 Image] (H5IM) – a C interface for images or rasters
* [http://hdf.ncsa.uiuc.edu/HDF5/doc/Tutor/h5table.html HDF5 Table] (H5TB) – a C interface for tables
* [http://hdf.ncsa.uiuc.edu/HDF5/doc/Tutor/h5packet.html HDF5 Packet Table] (H5PT) – interfaces for C and [C++] to handle "packet" data, accessed at high-speeds
* [http://hdf.ncsa.uiuc.edu/HDF5/doc/Tutor/h5dimscale.html HDF5 Dimension Scale (H5DS)] – allows dimension scales to be added to HDF5; to be introduced in the HDF5-1.8 release
==See also==
* [[Common Data Format]] (CDF)
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