LZFSE
LZFSE compression library and command line tool (by lzfse)
smaz
Small strings compression library (by antirez)
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| LZFSE | smaz | |
|---|---|---|
| 1 | 3 | |
| 1,748 | 1,131 | |
| 0.6% | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 4 years ago | |
| C | C | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
LZFSE
Posts with mentions or reviews of LZFSE.
We have used some of these posts to build our list of alternatives
and similar projects.
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Why is Zip preferred on Mac while RAR seems like the favorite on Windows?
I'm not entirely correct, though. Because Unarchiver likely uses this compression algorithm by calling directly into the API. And there is an open-source implementation for it: lzfse/lzfse.
smaz
Posts with mentions or reviews of smaz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-13.
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Advanced MessagePack capabilities
Choose the data compression algorithm based on the specifics of your data. For example, if you are working with lots of short strings, take a look at [*SMAZ](https://github.com/antirez/smaz).*
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Improving short string compression.
Take a look at this. Idea behind it seems nice, but it's fixed dictionary ("codebook") was clearly made for English language, and the algorithm itself is really simple. How can we impove on this? Dynamic dictionary won't do, since you have to store it somewhere, nullifying benefits of using such algorithm. Beyond that I have no idea.
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C Deep
smaz - Efficient string compression library. BSD-3-Clause
What are some alternatives?
When comparing LZFSE and smaz you can also consider the following projects:
zstd - Zstandard - Fast real-time compression algorithm
LZMAT - git mirror of LZMAT (http://www.matcode.com/lzmat.htm)
LZ4 - Extremely Fast Compression algorithm
Snappy - A fast compressor/decompressor
ZLib - A massively spiffy yet delicately unobtrusive compression library.
doboz
LZMA - (Unofficial) Git mirror of LZMA SDK releases
brotli - Brotli compression format
FiniteStateEntropy - New generation entropy codecs : Finite State Entropy and Huff0
LZHAM - Lossless data compression codec with LZMA-like ratios but 1.5x-8x faster decompression speed, C/C++