Snappy
LZMA
Snappy | LZMA | |
---|---|---|
5 | 2 | |
6,249 | 46 | |
0.5% | - | |
6.2 | 0.0 | |
6 months ago | over 6 years ago | |
C++ | C++ | |
GNU General Public License v3.0 or later | - |
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Snappy
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Why I enjoy using the Nim programming language at Reddit.
Another example of Nim being really fast is the supersnappy library. This library benchmarks faster than Google’s C or C++ Snappy implementation.
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Stretch iPhone to Its Limit: 2GiB Stable Diffusion Model Runs Locally on Device
It doesn't destroy performance for the simple reason that nowadays memory access has higher latency than pure compute. If you need to use compute to produce some data to be stored in memory, your overall throughput could very well be faster than without compression.
There have been a large amount of innovation on fast compression in recent years. Traditional compression tools like gzip or xz are geared towards higher compression ratio, but memory compression tends to favor speed. Check out those algorithms:
* lz4: https://lz4.github.io/lz4/
* Google's snappy: https://github.com/google/snappy
* Facebook's zstd in fast mode: http://facebook.github.io/zstd/#benchmarks
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Compression with best ratio and fast decompression
Google released Snappy, which is extremely fast and robust (both at compression and decompression), but it's definitely not nearly as good (in terms of compression ratio). Google mostly uses it for real-time compression, for example of network messages - not for long-term storage.
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How to store item info?
Just compress it! Of course if you will you ZIP, players will able to just open this zip file and change whatever they want. But you can use less popular compression algorithms which are not supported by default Windows File Explorer. Snappy for example.
- What's the best way to compress strings?
LZMA
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ELI5: How exactly does winrar profit without a major loss with their current business plan?
Their SDK is in the public domain though.
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Searching Compressed Space
And that links to https://www.7-zip.org/sdk.html , in the download there see the DOC folder for documentation? I really can't figure out how that somehow 'sends you back to python's lzma'...
What are some alternatives?
ZLib - A massively spiffy yet delicately unobtrusive compression library.
zstd - Zstandard - Fast real-time compression algorithm
LZ4 - Extremely Fast Compression algorithm
brotli - Brotli compression format
zlib-ng - zlib replacement with optimizations for "next generation" systems.
Minizip-ng - Fork of the popular zip manipulation library found in the zlib distribution.
tiny_jpeg.h - Single header lib for JPEG encoding. Public domain. C99. stb style.
LZHAM - Lossless data compression codec with LZMA-like ratios but 1.5x-8x faster decompression speed, C/C++