Utilize the HDF5 high performance data software library and file format to manage, process, and store your heterogeneous data. HDF5 is built for fast I/O processing and storage.

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 U.S. National Center for Supercomputing …

Official HDF5® Library Repository. Contribute to HDFGroup/hdf5 development by creating an account on GitHub.

Introduction to HDF5 is intended to provide enough information for you to develop a basic understanding of how HDF5 works and is meant to be used. Knowledge of the current version of HDF will make it …

Apr 2, 2026 · About Hierarchical Data Formats - HDF5 The Hierarchical Data Format version 5 (HDF5), is an open source file format that supports large, complex, heterogeneous data. HDF5 uses a "file …

May 23, 2026 · HDF5 datasets organize and contain the “raw” data values. A dataset consists of metadata that describes the data, in addition to the data itself: In this picture, the data is stored as a …

HDF5 for Python The h5py package is a Pythonic interface to the HDF5 binary data format. HDF5 lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For …

Release Highlights What’s new in this release (Newsletter #209) Changelog for HDF5 2.1.1 A Helpful Guide in Mapping Autotools to Cmake Options HDF5 License Documentation Download HDF5 This …

Mar 23, 2026 · Official HDF5® Library Repository. Contribute to HDFGroup/hdf5 development by creating an account on GitHub.

The HDF Group develops and maintains the feature-packed HDF5® technology suite, which is backed by complementary services. While help is available in the vast ecosystem, our experience and …