TL;DR Use three tags when you talk about risk in the HDF5 ecosystem—impact (Safety / Security / Privacy), incident lens (Accident / Attack / Exposure), and location (FMT / LIB / EXT / TCD / OPS / PRV / SCD / UNK).
For Immediate Release. Champaign, ILL — Dec. 10, 2025. The HDF Group today announced that it has been selected by the U.S. National Science Foundation (NSF) for funding under the inaugural Safety, Security, and Privacy of Open‑Source Ecosystems (Safe‑OSE) investment. The new project, titled “NSF‑Safe‑OSE: Strengthening HDF5 for Science, Industry, and National Security Applications” (Award
John Readey, The HDF Group We’re pleased to announce that The HDF Group is now a member of the Open Commons Consortium (formerly Open Cloud Consortium), a not for profit that manages and operates cloud computing and data commons infrastructure to support scientific, medical, health care and environmental research. The HDF Group will be participating
Executive Summary: HDF5 2.0.0 now adheres to semantic versioning conventions while maintaining the trusted format and library you rely on. This version has been modernized for today’s workflows, making it easier to convert raw data into results. It simplifies setup and usage, increases confidence through safer defaults and improved release practices, and reduces unwanted side
When working with a foundational library like HDF5, what happens behind the scenes matters. The build system—the collection of scripts that compile source code into libraries and tools—plays an essential role in your workflow. A reliable and consistent build system is key to a smooth experience. However, challenges can arise when a project supports two
This post is an update of one originally published in September 2024. We’ve updated it with some of the features available in the next HDF5 library release 2.0: Introduction to CMake presets and how they can be used when building the library, new ROS3 backend, and building the library with a faster DEFLATE compression filter.
The HDF 4.3.1 release is now available from the HDF 4.3.1 download page on The HDF Group’s support site. For information on HDF4, see the HDF4 page. This is a minor release that adds support for new platforms and compilers, several bug fixes, including uninitialized memory and memory leak issues. Please see the full release
HDF has been the primary format for NASA Earth Observing System (EOS) satellite data products for more than fifteen years. The HDF Earth Science Program supports EOS and other significant earth science monitoring activities.
Andrew Collette, Research Scientist with IMPACT, HDF Guest Blogger “…HDF5 is that rare product which excels in two fields: archiving and sharing data according to strict standardized conventions, and also ad-hoc, highly flexible and iterative use for local data analysis. For more information on using Python together with HDF5…” An enormous amount of effort has
… HDF% and Spark: Balancing the workload among tasks is a concern in any parallel environment. However, that does not mean that all datasets have to be the same size. HDF5 can help with partial I/O: Instead of reading entire datasets, one could just read hyperslabs or other selections. Sampling is…
