Installation

Pre-built packages

Pre-built binaries of hdf5plugin are available from:

  • pypi, to install run: pip install hdf5plugin [--user]

  • conda-forge, to install run: conda install -c conda-forge hdf5plugin

To maximize compatibility, those binaries are built without optimization options (such as AVX2 and OpenMP). Installation from source can achieve better performances than pre-built binaries.

Installation from source

The build process enables compilation optimizations that are supported by the host machine.

To install from source and recompile the HDF5 plugins, run:

pip install hdf5plugin --no-binary hdf5plugin [--user]

To override the defaults that are probed from the machine, it is possible to specify build options by setting environment variables, for example:

  • HDF5PLUGIN_OPENMP=False pip install hdf5plugin --no-binary hdf5plugin

  • From the source directory: HDF5PLUGIN_OPENMP=False pip install .

Available options

Environment variable

Description

HDF5PLUGIN_HDF5_DIR

Custom path to HDF5 (as in h5py).

HDF5PLUGIN_OPENMP

Whether or not to compile with OpenMP. Default: True if probed (always False on macOS).

HDF5PLUGIN_NATIVE

True to compile specifically for the host, False for generic support (For unix compilers only). Default: True on supported architectures, False otherwise

HDF5PLUGIN_SSE2

Whether or not to compile with SSE2 support. Default: True on ppc64le and when probed on x86, False otherwise

HDF5PLUGIN_AVX2

Whether or not to compile with AVX2 support. avx2=True requires sse2=True. Default: True on x86 when probed, False otherwise

HDF5PLUGIN_CPP11

Whether or not to compile C++11 code if available. Default: True if probed.

Note: Boolean options are passed as True or False.