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A general purpose library and file format for storing scientific data

HDF5 is a general purpose library and file format for storing scientific data.
HDF5 can store two primary objects: datasets and groups. A dataset is
essentially a multidimensional array of data elements, and a group is a
structure for organizing objects in an HDF5 file. Using these two basic
objects, one can create and store almost any kind of scientific data
structure, such as images, arrays of vectors, and structured and unstructured
grids. You can also mix and match them in HDF5 files according to your needs.

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Source Files

Filename	Size	Changed
hdf5-1.8.13.tar.bz2	0009496378 9.06 MB	about 10 years ago
hdf5-default-import-suffix.patch	0000000762 762 Bytes	about 10 years ago
hdf5-pregenerated-settings.patch	0000001003 1003 Bytes	about 10 years ago
mingw64-HDF5settings.tar.gz	0000004558 4.45 KB	about 10 years ago
mingw64-hdf5.spec	0000004163 4.07 KB	about 10 years ago

Revision 1 (latest revision is 9)

Fridrich Strba (fstrba) accepted request 247464 from

Anthony Kelman (kelman) about 10 years ago (revision 1)

Used cmake to build this, since it was possible to override the results of tests that required running executables. The cmake arguments are as in https://aur.archlinux.org/packages/mi/mingw-w64-hdf5/PKGBUILD with one addition to enable zlib support. For 2 additional build-time configuration files that hdf5 usually generates by running a compiled executable, I had to pre-generate the results with a local x86_64-w64-mingw32 build and include those generated sources. An alternative (used in the above-linked Arch package) would be to use wine at build time, but that would not work for 32 bit workers compiling a mingw64 package.

I'm leaving off the C++, Fortran, and MPI parts of the package for now. Neither openmpi nor mvapich2 are available as mingw packages yet.