lzbench
lizard
| lzbench | lizard | |
|---|---|---|
| 9 | 4 | |
| 842 | 639 | |
| - | - | |
| 1.9 | 0.0 | |
| about 1 month ago | about 3 years ago | |
| C | C | |
| - | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lzbench
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Chrome Feature: ZSTD Content-Encoding
For a benchmark on a standard set: https://github.com/inikep/lzbench/blob/master/lzbench18_sort...
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My experience with btrfs so far
Do not re-compress your file into level 3. The decompression speed is largely the same between level 3 and 8, so you just wasting CPU doing nothing and making your files larger. See the bottom of the README: https://github.com/inikep/lzbench
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Rsyncing 20TB locally
You can crunch the numbers yourself with this: https://github.com/inikep/lzbench
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Lizard – efficient compression with fast decompression
Note that a benchmark in the README refers to zstd 1.1.1 and brotli 0.5.2, which are very old (the current versions are zstd 1.5.2 and brotli 1.0.9). The same author maintains lzbench [1], which is more or less up-to-date.
[1] https://github.com/inikep/lzbench
- What scientists must know about hardware to write fast code
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Zip-Ada development on LZMA compression
u/zertillon, maybe you could use lzbench, so you could compare it with a lot of other compression libraries. The problem is that it requires including the library in a single executable, so it might be more difficult to integrate than a C library (the benchmark is in C++).
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Is there any site that lists the current SOTA for lossless compression?
Still updated: https://github.com/inikep/lzbench
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will ZSTD impact L2ARC performance?
If you want to know the size a VM will compress to,. Zstd can be installed on any machine, so you can experiment easily. You can even run the benchmark https://github.com/inikep/lzbench
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Save disk space for your games: BTRFS filesystem compression as alternative to CompactGUI on Linux
Are you sure about that? That's not what I see on https://github.com/inikep/lzbench and I tried to run that myself, although I have no idea which lzo to try so I went with what seemed the fastest...
lizard
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ELI5 how archiving on computers work
Another fun trick is to compress less often used stuff in RAM memory, because decompressing something like LZ4 or Lizard is still potentially orders of magnitude faster than reading from disk.
- Lizard – efficient compression with fast decompression
- Lizard
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C Deep
Lizard - Formerly LZ5; an efficient compressor with fast decompression. Achieves compression ratios comparable with zip and zlib at decompression speeds of 1000MB/s and faster. BSD-2-Clause
What are some alternatives?
7-Zip-zstd - 7-Zip with support for Brotli, Fast-LZMA2, Lizard, LZ4, LZ5 and Zstandard
ZLib - A massively spiffy yet delicately unobtrusive compression library.
CompactGUI - Transparently compress active games and programs using Windows 10/11 APIs [Moved to: https://github.com/IridiumIO/CompactGUI]
python-zstandard - Python bindings to the Zstandard (zstd) compression library
CompactGUI - Transparently compress active games and programs using Windows 10/11 APIs
libuv - Cross-platform asynchronous I/O
11Zip - Dead simple zipping / unzipping C++ Lib
c-blosc - A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.
qemu
zip-ada - Zip-Ada: a standalone, portable Ada library for .zip archives. Includes LZMA byte stream encoder & decoder pair.
sndfilter - Algorithms for sound filters, like reverb, dynamic range compression, lowpass, highpass, notch, etc