h5py

h5py

The h5py package provides a user-friendly Pythonic interface to the HDF5 binary data format, enabling users to efficiently store and manipulate vast amounts of numerical data using familiar NumPy syntax. It supports slicing through multi-terabyte datasets like standard arrays, allowing for organized storage of thousands of datasets in a single file.

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Top h5py Features

  • Pythonic interface for HDF5
  • Direct manipulation of NumPy arrays
  • Supports multi-terabyte datasets
  • Simple dictionary-like syntax
  • Easy dataset iteration
  • Access to .shape and .dtype
  • Object-oriented Cython wrapper
  • Compatible with existing HDF5 features
  • Widely-used standard binary format
  • Cross-program compatibility (IDL
  • MATLAB)
  • Thousands of datasets in one file
  • Custom categorization and tagging
  • No special HDF5 knowledge required
  • Comprehensive user manual available
  • Active development on GitHub
  • O'Reilly book as resource
  • Community support via mailing list
  • Available on Python Package Index (PyPI)
  • Installation guide provided
  • Open source with contributions welcome
Top h5py Alternatives
  • Mako
  • Mantine
  • gevent
  • CVXOPT
  • Bit
  • Scapy
  • daisyUI
  • pyglet
  • Material Design Lite
  • FormValidation
  • statsmodels
  • PyQtGraph
  • NetworkX
  • tox
  • GDAL
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