Showing 5 open source projects for "high compression ratio"

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  • 1
    Zstandard

    Zstandard

    Zstandard - Fast real-time compression algorithm

    Zstandard is a fast compression algorithm, providing high compression ratios. It also offers a special mode for small data, called dictionary compression. The reference library offers a very wide range of speed / compression trade-off, and is backed by an extremely fast decoder (see benchmarks below). Zstandard library is provided as open source software using a BSD license.
    Downloads: 102 This Week
    Last Update:
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  • 2
    LZ4

    LZ4

    Extremely fast compression algorithm

    LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core (>0.15 Bytes/cycle). It features an extremely fast decoder, with speed in multiple GB/s per core (~1 Byte/cycle). A high compression derivative, called LZ4_HC, is available, trading customizable CPU time for compression ratio. LZ4 library is provided as open-source software using a BSD license.
    Downloads: 282 This Week
    Last Update:
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  • 3
    PI-Based Image Encoder / Converter

    PI-Based Image Encoder / Converter

    Python code able to convert / compress image to PI (3.14, π) Indexes

    Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro...
    Downloads: 0 This Week
    Last Update:
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  • 4
    OpenDark is a free simplification of 'dark'. It's the first open BWT-DC compressor, which has a simple code, high speed and compression ratio. And it's waiting for your ideas! :)
    Downloads: 0 This Week
    Last Update:
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  • 5
    XNC - Extreme Numeric Compression is used to store integer or floating-point numbers in compressed, binary form. Use XNC to persist high volume scientific or plant monitoring data. Compression ratios of >15 x can be achieved over plain text formats.
    Downloads: 0 This Week
    Last Update:
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