We are happy to announce the release of HDFql 1.4.0. HDFql now supports not only C, C++, Java, Python, and C#, but also Fortran. In addition, we have resumed the availability of distribution packages for Mac OS X.
This version includes (please check the release notes for further details):
- Added wrapper for Fortran (Linux and Mac OS X only – Windows support will be added depending on user interest)
- Added wrapper for C++
- Added HDFql debug static and shared libraries in distribution packages
- Updated reference manual
What’s next? Pending interest from the user community, future versions of HDFql are expected to include:
- Support for R
- Support for Julia
- Support for BLAS operations on the fly
- Support for dynamically loaded filters
- Support for compound data types
- Support for enumeration data types
- Support for access to distributed data stored in HDF5 and Hyrax OPeNDAP servers
- Support for H5Q and H5X APIs (querying/indexing features from The HDF Group)
If any of these features are of particular interest to you or your organization, please reach out to us!
For updates on upcoming releases and the latest news about HDFql, we welcome you to connect with us on https://twitter.com/hdfql.