Release of HDF5 1.14.0 (Newsletter #189)

We are happy to announce the release of HDF5 1.14.0, which can now be obtained from the HDF5 Download page. More information about this release can be found on the HDF5 1.14.0 release page. For scheduled future releases, please refer to the release schedule.

​Release of HDF 4.2.16 (Newsletter #191)

The HDF 4.2.16 release is now available from the HDF 4.2.16 download page on the HDF Support Portal. While this is a minor release comprised of many smaller clean-up tasks, there are several noteworthy changes.

Release of HDF5 1.12.3 Library and Tools (Newsletter #200)

The HDF5 Library and Tools 1.12.3 release is now available from the Download page. This is a maintenance release with a few updates: Brings the H5Dchunk_iter() API call from HDF5 1.14 Many CVE fixes as part of our continued effort to keep HDF5 CVE-free Please be aware that this will be the last release for

Improve HDF5 performance using caching

When using HDF5 or HSDS you’ve likely benefited (even if you weren’t aware of it) caching features built into the software that can drastically improve performance. HSDS and h5pyd utilize caching to improve performance for service-based applications. In this post, we’ll do a quick review of how HDF5 library caching works and then dive into HSDS and h5pyd caching (with a brief discussion of web caching).

How to Build the HDF5 library and h5py in a Conda Virtual Environment

Virtual environments are very popular method for ordinary computer users to install software into an isolated space without assistance from their system administrators. The conda package manager is one of the most widely used tools for managing virtual environments. We are going to install software only from the conda-forge package repository, which is a community GitHub organization that maintains a large number of software packages.

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