efficient storage of large features data

HDF5, h5py, features, read, write
pip install h5features==1.4.1


Documentation status Tests status Coverage status Anaconda


The h5features python package provides easy to use and efficient storage of large features data on the HDF5 binary file format.

Installation from conda

conda install -c coml h5features

Installation from pip

pip install h5features

Installation from sources

  • dependencies

    The package depends on numpy, scipy and h5py. They can be automatically installed by the setup script but it takes a long time (full compilation). You may want to install the dependancies through your system package manager.

    On Debian/Ubuntu:

    sudo apt-get install python3-numpy python3-scipy python3-h5py

    Using Python anaconda:

    conda install numpy scipy h5py
  • h5features

    Install it from the sources with:

    python setup.py build && python setup.py install


  • See the complete documentation online

  • Or build it with:

    pip install Sphinx
    cd docs && make html

    The home page of the compiled documentation is docs/_build/html/index.html.


The package comes with a unit-tests suit. To run it, first install pytest on your Python environment:

pip install pytest

Then run the tests with:

pytest -v ./test