HDF5

HDF5 is a community standard file format that is fast and handles arbitrarily large datasets. HDF5 may be thought of as a filesystem withing a file, with access from most popular data science languages, including C, C++, Fortran, Julia Matlab, Python, R, etc. NetCDF4 is built upon HDF5 and is popular in the geoscience community.

Here are posts we’ve written discussing use of the HDF5 library.

2024

• 2024-07-08 – Easy HDF5 / NetCDF4 / HDF4 Matlab interface
• 2024-06-06 – HDF4 CMake Example
• 2024-06-04 – HDF5 command line tools

2023

• 2023-06-09 – Madrigal GNSS line-of-sight data load in Python

2020

• 2020-11-25 – Symbolic soft links in HDF5 / NetCDF4
• 2020-11-17 – Linking HDF5 with CMake for C, C++ and Fortran
• 2020-09-27 – Python ImportError vs. ModuleNotFoundError
• 2020-07-15 – Easy HDF5 Fortran interface
• 2020-06-07 – Compare HDF5 data values
• 2020-03-21 – NetCDF4 segfault on file open
• 2020-02-17 – CMake FindHDF5 improvements
• 2020-01-10 – HDF5 on Intel oneAPI for Windows

2019

• 2019-09-23 – HDF5 in Labview
• 2019-08-09 – Limitations of loading HDF5 files with xarray

2017

• 2017-12-14 – NetCDF4 vs. HDF5 for large datasets
• 2017-03-29 – Testing h5py boolean vs uint8 write speed