Canonical name confirmation for H5Z_class3_t filter plugins

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#255 27 comentarios 3 reacciones 1 asignado Ver en GitHub

Los mantenedores suelen responder en 1 día

@ajelenak ya está trabajando en esto.

Desde el 19/6/2026.

  • #256 de @brtnfld — abierto

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Descripción

[Last Update: 2026/06/05]

HDF5 2.x introduces a new filter plugin class, H5Z_class3_t, that turns
the name field from a free-form debug comment into a load-bearing
canonical name — the string identifier used by the new
H5Pappend_filter API, written into the on-disk filter-pipeline message,
and displayed by h5dump / h5repack. See RFC-HDFG-2026-001 (linked in
the companion PR) and the "Canonical Names" section of
docs/RegisteredFilterPlugins.md for the full contract.

This issue tracks maintainer confirmation of the proposed canonical
name for each currently registered plugin. The companion PR pre-fills a
proposed name in the registry table and marks each row (proposed).

What we need from you

Maintainers: please review the proposed name for your filter ID and
reply on this issue with one explicit line naming the ID and the
name so there is no ambiguity. (Please confirm here on the issue, not
on the companion PR #256 — the PR is for review of the doc edit itself
and confirmations would get lost during code review. Also please don't
use a 👍 reaction on the issue body — there's no way to tell which row
a reaction refers to.)

To confirm:

Confirm: ID 32013, canonical name zfp.

To request a correction (subject to the syntactic rules [A-Za-z0-9_.-],
≤255 bytes, case-sensitive):

Correction: ID 32013, canonical name should be zfp-v2.

Once confirmed, we'll drop the (proposed) marker for your row in
docs/RegisteredFilterPlugins.md and flip the row indicator below from
☐ to ✅. (The indicator is a static symbol — GitHub doesn't allow
interactive checkboxes inside a table — so don't try to click it.)

If you don't have a GitHub account, you can also confirm by email to
[email protected] and we'll relay it onto this issue.

This change has no effect on existing plugin builds. Canonical names
only become load-bearing when a plugin opts into the new H5Z_class3_t
class — that is a separate, opt-in code change in each plugin's source.

Comment window

~6 weeks from this issue's open date. After that, rows without a
maintainer reply will keep their proposed name with an unconfirmed
marker. First-registered-wins still applies if a later replacement is
needed.

Checklist

Hyperlinks in the For Filter column point at the per-filter section of
docs/RegisteredFilterPlugins.md on master. Maintainer attributions are
copied from the "Contact" subsection of each filter's entry.

ID Canonical Name For Filter Maintainer Short Description
✅ 257 hzip-silo hzip Mark Miller (LLNL) hzip compression used in Silo
✅ 258 fpzip-silo fpzip Mark Miller (LLNL) Historical duplicate of 32014 — see Special cases below
☐ 305 lzo LZO Francesc Alted LZO lossless compression used by PyTables
☐ 307 bzip2 BZIP2 Francesc Alted BZIP2 lossless compression used by PyTables
☐ 32000 lzf LZF Andrew Collette (h5py) LZF lossless compression used by the h5py package
☐ 32001 blosc BLOSC Francesc Alted (PyTables) Blosc lossless compression used by PyTables
☐ 32002 mafisc MAFISC Nathanael Huebbe Modified LZMA compression filter, MAFISC (Multidimensional Adaptive Filtering Improved Scientific data Compression)
☐ 32003 snappy Snappy Lucas C. Villa Real Snappy lossless compression
☐ 32004 lz4 LZ4 Michael Rissi (Dectris Ltd.) LZ4 fast lossless compression algorithm
☐ 32005 apax APAX no current contact Samplify's APAX Numerical Encoding Technology
☐ 32006 cbf CBF Herbert J. Bernstein All imgCIF/CBF compressions and decompressions, including Canonical, Packed, Packed Version 2, Byte Offset and Nibble Offset
☐ 32007 jpeg-xr JPEG-XR Marvin Albert Enables images to be compressed/decompressed with JPEG-XR compression
☐ 32008 bitshuffle bitshuffle Kiyoshi Masui Extreme version of shuffle filter that shuffles data at bit level instead of byte level
✅ 32009 spdp SPDP Martin Burtscher SPDP fast lossless compression algorithm for single- and double-precision floating-point data
☐ 32010 lpc-rice LPC-Rice Frans van den Bergh LPC-Rice multi-threaded lossless compression
☐ 32011 ccsds-123 CCSDS-123 Frans van den Bergh ESA CCSDS-123 multi-threaded compression filter
☐ 32012 jpeg-ls JPEG-LS Frans van den Bergh CharLS JPEG-LS multi-threaded compression filter
✅ 32013 zfp zfp Peter Lindstrom (LLNL) Lossy & lossless compression of floating point and integer datasets to meet rate, accuracy, and/or precision targets.
✅ 32014 fpzip fpzip Peter Lindstrom (LLNL) Fast and Efficient Lossy or Lossless Compressor for Floating-Point Data
✅ 32015 zstd Zstandard Mark Kittisopikul Real-time compression algorithm with wide range of compression / speed trade-off and fast decoder
☐ 32016 b3d B³D no current contact GPU based image compression method developed for light-microscopy applications
✅ 32017 sz SZ Sheng Di (ANL) An error-bounded lossy compressor for scientific floating-point data
☐ 32018 fcidecomp FCIDECOMP Dr. Daniel Lee (EUMETSAT) EUMETSAT CharLS compression filter for use with netCDF
✅ 32019 jpeg JPEG Mark Rivers Jpeg compression filter
☐ 32020 vbz VBZ George Pimm (Oxford Nanopore) Compression filter for raw dna signal data used by Oxford Nanopore
✅ 32021 fapec FAPEC Jordi Portell i de Mora (DAPCOM Data Services S.L.) Versatile and efficient data compressor supporting many kinds of data and using an outlier-resilient entropy coder
☐ 32022 bitgroom BitGroom Charlie Zender (UC Irvine) The BitGroom quantization algorithm
☐ 32023 granular-bitround Granular BitRound (GBR) Charlie Zender (UC Irvine) The GBR quantization algorithm is a significant improvement to the BitGroom filter
✅ 32024 sz3 SZ3 Sheng Di (ANL) A modular error-bounded lossy compression framework for scientific datasets
☐ 32025 delta-rice Delta-Rice David Mathews Lossless compression algorithm optimized for digitized analog signals based on delta encoding and rice coding
☐ 32026 blosc2 BLOSC2 Francesc Alted (Blosc Development Team) The recent new-generation version of the Blosc compression library
☐ 32027 flac FLAC Laurie Stephey FLAC audio compression filter in HDF5
✅ 32028 sperr SPERR Samuel Li SPERR is a lossy scientific (floating-point) data compressor that produces one of the best rate-distortion curves
☐ 32029 terse-prolix TERSE/PROLIX Jan Pieter Abrahams A lossless and fast compression of the diffraction data
☐ 32030 ffmpeg FFMPEG Cai Lab (Univ. of Michigan) A lossy compression filter based on ffmpeg video library
✅ 32031 jpeg2000 JPEG2000 Mark Harfouche A compression filter for lossy and lossless coding

Special cases

  • 257 hzip-silo — name corrected from hzip to hzip-silo by Mark Miller (LLNL) to distinguish it from any silo-independent version of hzip.
  • 258 fpzip-silo — ID 258 is a historical duplicate of 32014. Name corrected from fpzip-legacy to fpzip-silo by Mark Miller (LLNL) to distinguish it from any silo-independent version of fpzip.
  • 32005 apax and 32016 b3d — the registry entries have no current
    contact. If you maintain these or know who does, please reply so we can
    attribute the canonical name.

Companion PR

Companion PR: #256

Lenguaje dominante
CMake
Estrellas
21
Forks
27
Merge medio
4 d 20 h
PR fusionados (30 d)
9

Preparar el entorno

Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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