Numcodecs
Compress and transform data buffers in Python for efficient data storage and communication. Supports various codecs and integrates with array libraries.
Numcodecs is a Python library designed for encoding and decoding data buffers. It provides a collection of compression and transformation codecs crucial for optimizing data storage and network communication, particularly for numerical data.
Key features include:
- A pluggable architecture allowing easy integration of new codecs.
- Support for popular compression algorithms like Zlib, BZ2, LZMA, Blosc, Zstd, and more.
- Data transformation codecs like Delta, PackBits, and quantization filters.
- Designed for seamless use with array storage libraries like Zarr and HDF5 (via h5py).
- Improves performance by reducing data size, which saves storage space and network bandwidth.
Categories:
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pdoc
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