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'''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 (programming language)|Java]], [[MATLAB]], [[Scilab]], [[GNU Octave|Octave]], [[OCaml]], [[Mathematica]], [[IDL (programming language)|IDL]], [[C/C++ (programming language)|C/C++]], [[Python (programming language)|Python]],<ref>{{cite web |title=How to analyse 100 GB of data on your laptop with Python |url=https://towardsdatascience.com/how-to-analyse-100s-of-gbs-of-data-on-your-laptop-with-python-f83363dda94 |author=Jovan Veljanoski |date=December 1, 2019 |accessdate=December 9, 2019 |publisher=Towards Data Science}}</ref> [[R (programming language)|R]], [[Fortran]], [[Common Lisp]], and [[Julia (programming language)|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).<ref>[http://www.hdfgroup.org/products/java/release/download.html Java-based HDF Viewer (HDFView)]</ref>
The current version, HDF5, differs significantly in design and API from the major legacy version HDF4.
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