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  2. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities for tasks such as handling multiple files, encryption, and archive-splitting.

  3. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  4. List of archive formats - Wikipedia

    en.wikipedia.org/wiki/List_of_archive_formats

    CRUNCH's implementation of LZW had a somewhat unusual feature of modifying and occasionally clearing the code table in memory when it became full, resulting in a few percent better compression on many files. .xz application/x-xz xz: Unix-like A compression format using LZMA2 to yield high compression ratios.

  5. XZ Utils - Wikipedia

    en.wikipedia.org/wiki/XZ_Utils

    XZ Utils can compress and decompress the xz and lzma file formats. Since the LZMA format has been considered legacy, [2] XZ Utils by default compresses to xz. In most cases, xz achieves higher compression rates than alternatives like zip, [3] gzip and bzip2. Decompression speed is higher than bzip2, but lower than gzip.

  6. Deflate - Wikipedia

    en.wikipedia.org/wiki/DEFLATE

    Zopfli: C implementation under the Apache License by Google; achieves higher compression at the expense of CPU usage. ZopfliPNG is a variation of Zopfli for use with PNG files. igzip: an encoder written in the x86 assembly language, released by Intel under the MIT License. 3x faster than zlib -1. Useful for compressing genomic data.

  7. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [19] So if we know nothing about the properties of the data we are ...

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