{"schema_version":1,"metadata":{"branch":"release","release":"7.9","architecture":"amd64","generated_at":"2026-09-09T04:04:02.361425+00:00","source_url":"https://cdn.openbsd.org/pub/OpenBSD/7.9/packages/amd64/sqlports-7.54.tgz","source_sha256":"2de00144847bf9da3a365be982f101dbb55d591ed7a915ea94984a16ab0e0404","package_count":12059,"source_kind":"sqlports"},"package":{"name":"py3-h5py-3.16.0","path":"math/py-h5py","url":"/packages/release/math/py-h5py/","comment":"pythonic interface to the HDF5 binary data format","homepage":"https://www.h5py.org/","maintainer":"Martin Reindl <martin@catai.org>","description":"The h5py package is a Pythonic interface to the HDF5 binary data\nformat.\n\nIt lets you store huge amounts of numerical data, and easily\nmanipulate that data from NumPy. For example, you can slice into\nmulti-terabyte datasets stored on disk, as if they were real NumPy\narrays. Thousands of datasets can be stored in a single file,\ncategorized and tagged however you want.\n\nH5py uses straightforward NumPy and Python metaphors, like dictionary\nand NumPy array syntax. For example, you can iterate over datasets\nin a file, or check out the .shape or .dtype attributes of datasets.\nYou don't need to know anything special about HDF5 to get started.\n\nIn addition to the easy-to-use high level interface, h5py rests on\na object-oriented Cython wrapping of the HDF5 C API. Almost anything\nyou can do from C in HDF5, you can do from h5py.\n\nBest of all, the files you create are in a widely-used standard\nbinary format, which you can exchange with other people, including\nthose who use programs like IDL and MATLAB.\n","package_architecture":"amd64","stem":"py3-h5py","readme":null,"dependencies":[{"path":"math/hdf5","type":"library","package_spec":"","url":"/packages/release/math/hdf5/"},{"path":"lang/python/3","type":"runtime","package_spec":"","url":"/packages/release/lang/python/3/"},{"path":"lang/cython","type":"build","package_spec":"","url":"/packages/release/lang/cython/"},{"path":"math/py-numpy","type":"build","package_spec":"","url":"/packages/release/math/py-numpy/"},{"path":"devel/py-pkgconfig","type":"build","package_spec":"","url":"/packages/release/devel/py-pkgconfig/"},{"path":"lang/python/3","type":"build","package_spec":"","url":"/packages/release/lang/python/3/"},{"path":"devel/py-build","type":"build","package_spec":"","url":"/packages/release/devel/py-build/"},{"path":"devel/py-installer","type":"build","package_spec":"","url":"/packages/release/devel/py-installer/"},{"path":"devel/py-setuptools","type":"build","package_spec":"py3-setuptools->=79v0","url":"/packages/release/devel/py-setuptools/"},{"path":"devel/py-wheel","type":"build","package_spec":"","url":"/packages/release/devel/py-wheel/"},{"path":"devel/py-coveralls","type":"test","package_spec":"","url":"/packages/release/devel/py-coveralls/"},{"path":"devel/py-test-cov","type":"test","package_spec":"","url":"/packages/release/devel/py-test-cov/"},{"path":"lang/python/3","type":"test","package_spec":"","url":"/packages/release/lang/python/3/"},{"path":"devel/py-test","type":"test","package_spec":"","url":"/packages/release/devel/py-test/"}],"reverse_dependencies":{"count":1,"url":"/packages/data/4e/4e0ab29cd6a45fcab7802d028f24493280ce07e6e271abc7b1c2cd261162ca40.json"},"categories":["math","lang/python"],"flavors":[],"only_for_architectures":["aarch64","amd64","arm","i386","mips64","mips64el","powerpc","powerpc64","riscv64","alpha","hppa","sparc64"],"not_for_architectures":[]}}
