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2. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Algorithms are generally quite specifically tuned to a particular type of file: for example, lossless audio compression programs do not work well on text files, and vice versa. In particular, files of random data cannot be consistently compressed by any conceivable lossless data compression algorithm; indeed, this result is used to define the ...

3. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   According to AIXI theory, a connection more directly explained in Hutter Prize, the best possible compression of x is the smallest possible software that generates x. For example, in that model, a zip file's compressed size includes both the zip file and the unzipping software, since you can not unzip it without both, but there may be an even ...

4. Calgary corpus - Wikipedia

   en.wikipedia.org/wiki/Calgary_Corpus

   This method was used in a benchmark in the online book Data Compression Explained by Matt Mahoney. [5] The table below shows the compressed sizes of the 14 file Calgary corpus using both methods for some popular compression programs. Options, when used, select best compression. For a more complete list, see the above benchmarks.

5. List of archive formats - Wikipedia

   en.wikipedia.org/wiki/List_of_archive_formats

   A file which was "squeezed" had the middle initial of the name changed to "Q", so that a squeezed text file would end with .TQT, a squeezed executable would end with .CQM or .EQE. Typically used with .LBR archives, either by storing the squeezed files in the archive, or by storing the files decompressed and then compressing the archive, which ...

6. Canterbury corpus - Wikipedia

   en.wikipedia.org/wiki/Canterbury_corpus

   The Canterbury corpus is a collection of files intended for use as a benchmark for testing lossless data compression algorithms. It was created in 1997 at the University of Canterbury, New Zealand and designed to replace the Calgary corpus. The files were selected based on their ability to provide representative performance results. [1]

7. zstd - Wikipedia

   en.wikipedia.org/wiki/Zstd

   It is tunable with compression levels ranging from negative 7 (fastest) [6] to 22 (slowest in compression speed, but best compression ratio). Starting from version 1.3.2 (October 2017), zstd optionally implements very-long-range search and deduplication (--long, 128 MiB window) similar to rzip or lrzip. [7]

8. 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 such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

9. PAQ - Wikipedia

   en.wikipedia.org/wiki/PAQ

   PAQ7 is a complete rewrite of PAQ6 and variants (PAQAR, PAsQDa). Compression ratio was similar to PAQAR but 3 times faster. However it lacked x86 and a dictionary, so it did not compress Windows executables and English text files as well as PAsQDa. It does include models for color BMP, TIFF and JPEG files, so compresses these files better.