Compare LZHAM vs zstd and see what are their differences.


Lossless data compression codec with LZMA-like ratios but 1.5x-8x faster decompression speed, C/C++ (by richgel999)


Zstandard - Fast real-time compression algorithm (by facebook)
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LZHAM zstd
- 109
679 22,523
- 1.9%
0.0 9.7
over 1 year ago 5 days ago
C++ C
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of LZHAM. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning LZHAM yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of zstd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-07.
  • Rethinking string encoding: a 37.5% space efficient encoding than UTF-8 in Fury
    2 projects | news.ycombinator.com | 7 May 2024
    > In such cases, the serialized binary are mostly in 200~1000 bytes. Not big enough for zstd to work

    You're not referring to the same dictionary that I am. Look at --train in [1].

    If you have a training corpus of representative data, you can generate a dictionary that you preshare on both sides which will perform much better for very small binaries (including 200-1k bytes).

    If you want maximum flexibility (i.e. you don't know the universe of representative messages ahead of time or you want maximum compression performance), you can gather this corpus transparently as messages are generated & then generate a dictionary & attach it as sideband metadata to a message. You'll probably need to defer the decoding if it references a dictionary not yet received (i.e. send delivers messages out-of-order from generation). There are other techniques you can apply, but the general rule is that your custom encoding scheme is unlikely to outperform zstd + a representative training corpus. If it does, you'd need to actually show this rather than try to argue from first principles.

    [1] https://github.com/facebook/zstd/blob/dev/programs/zstd.1.md

  • Drink Me: (Ab)Using a LLM to Compress Text
    2 projects | news.ycombinator.com | 4 May 2024
    > Doesn't take large amount of GPU resources

    This is an understatement, zstd dictionary compression and decompression are blazingly fast: https://github.com/facebook/zstd/blob/dev/README.md#the-case...

    My real-world use case for this was JSON files in a particular schema, and the results were fantastic.

  • SQLite VFS for ZSTD seekable format
    2 projects | news.ycombinator.com | 26 Apr 2024
    This VFS will read a sqlite file after it has been compressed using [zstd seekable format](https://github.com/facebook/zstd/blob/dev/contrib/seekable_f...). Built to support read-only databases for full-text search. Benchmarks are provided in README.
  • Chrome Feature: ZSTD Content-Encoding
    10 projects | news.ycombinator.com | 1 Apr 2024
    Of course, you may get different results with another dataset.

    gzip (zlib -6) [ratio=32%] [compr=35Mo/s] [dec=407Mo/s]

    zstd (zstd -2) [ratio=32%] [compr=356Mo/s] [dec=1067Mo/s]

    NB1: The default for zstd is -3, but the table only had -2. The difference is probably small. The range is 1-22 for zstd and 1-9 for gzip.

    NB2: The default program for gzip (at least with Debian) is the executable from zlib. With my workflows, libdeflate-gzip iscompatible and noticably faster.

    NB3: This benchmark is 2 years old. The latest releases of zstd are much better, see https://github.com/facebook/zstd/releases

    For a high compression, according to this benchmark xz can do slightly better, if you're willing to pay a 10× penalty on decompression.

    xz -9 [ratio=23%] [compr=2.6Mo/s] [dec=88Mo/s]

    zstd -9 [ratio=23%] [compr=2.6Mo/s] [dec=88Mo/s]

  • Zstandard v1.5.6 – Chrome Edition
    1 project | news.ycombinator.com | 26 Mar 2024
  • Optimizating Rabin-Karp Hashing
    1 project | news.ycombinator.com | 9 Mar 2024
    Compression, synchronization and backup systems often use rolling hash to implement "content-defined chunking", an effective form of deduplication.

    In optimized implementations, Rabin-Karp is likely to be the bottleneck. See for instance https://github.com/facebook/zstd/pull/2483 which replaces a Rabin-Karp variant by a >2x faster Gear-Hashing.

  • Show HN: macOS-cross-compiler – Compile binaries for macOS on Linux
    7 projects | news.ycombinator.com | 17 Feb 2024
  • Cyberpunk 2077 dev release
    1 project | /r/gamedev | 11 Dec 2023
    Get the data https://publicdistst.blob.core.windows.net/data/root.tar.zst magnet:?xt=urn:btih:84931cd80409ba6331f2fcfbe64ba64d4381aec5&dn=root.tar.zst How to extract https://github.com/facebook/zstd Linux (debian): `sudo apt install zstd` ``` tar -I 'zstd -d -T0' -xvf root.tar.zst ```
  • Honey, I shrunk the NPM package · Jamie Magee
    1 project | news.ycombinator.com | 3 Oct 2023
    I've done that experiment with zstd before.


    Not sure about brotli though.

  • How in the world should we unpack archive.org zst files on Windows?
    2 projects | /r/Archiveteam | 24 May 2023
    If you want this functionality in zstd itself, check this out: https://github.com/facebook/zstd/pull/2349

What are some alternatives?

When comparing LZHAM and zstd you can also consider the following projects:

LZMA - (Unofficial) Git mirror of LZMA SDK releases

LZ4 - Extremely Fast Compression algorithm

Snappy - A fast compressor/decompressor

brotli - Brotli compression format

LZMAT - git mirror of LZMAT (http://www.matcode.com/lzmat.htm)

7-Zip-zstd - 7-Zip with support for Brotli, Fast-LZMA2, Lizard, LZ4, LZ5 and Zstandard

smaz - Small strings compression library

ZLib - A massively spiffy yet delicately unobtrusive compression library.

zlib-ng - zlib replacement with optimizations for "next generation" systems.