
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