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Registered Third-Party Filters (Compression)

Members of the HDF5 users community can register Third-Party (compression or other) filters for use with HDF5. (See the FAQ on Using Compression in HDF5 for how to add a Third-Party Filter to HDF5.)

To register a filter please contact The HDF Helpdesk with the following information:

Here is the current policy regarding filter identifier assignment:

Please contact the maintainer of a filter for help with the filter/compression support in HDF5.

List of Filters Registered with The HDF Group:

Filter Identifier
(click on the link for more information about the filter)
Name Short Description
305 LZO LZO lossless compression used by PyTables
307 BZIP2 BZIP2 lossless compression used by PyTables
32000 LZF LZF lossless compression used by H5Py project
32001 BLOSC Blosc lossless compression used by PyTables
32002 MAFISC Modified LZMA compression filter, MAFISC (Multidimensional Adaptive Filtering Improved Scientific data Compression)
32003 Snappy Snappy lossless compression.
32004 LZ4 LZ4 fast lossless compression algorithm
32005 APAX Samplify's APAX Numerical Encoding Technology
32006 CBF All imgCIF/CBF compressions and decompressions, including Canonical, Packed, Packed Vesrsion 2, Byte Offset and Nibble Offset.
32007 JPEG-XR Enables images to be compressed/decompressed with JPEG-XR compression
32008 bitshuffle Extreme version of shuffle filter that shuffles data at bit level instead of byte level.
32009 SPDP SPDP fast lossless compression algorithm for single- and double-precision floating-point data.
32010 LPC-Rice LPC-Rice multi-threaded lossless compression
32011 CCSDS-123 ESA CCSDS-123 multi-threaded compression filter
32012 JPEG-LS CharLS JPEG-LS multi-threaded compression filter
32013 zfp Rate, accuracy or precision bounded compression for floating-point arrays
32014 fpzip Fast and Efficient Lossy or Lossless Compressor for Floating-Point Data
32015 Zstandard Real-time compression algorithm with wide range of compression / speed trade-off and fast decoder
32016 B³D GPU based image compression method developed for light-microscopy applications
32017 SZ An error-bounded lossy compressor for scientific floating-point data
32018 FCIDECOMP EUMETSAT CharLS compression filter for use with netCDF

Registered User-defined Link Classes

No user-defined link classes have been registered with The HDF Group at this time. For more information on how to register user-defined link classes, see the H5Lregister function in the HDF5 Reference Manual.

- - Last modified: 05 September 2017