The quicklz package

[Tags: gpl, library]

This package provides a high level binding to the QuickLZ compression library for ByteStrings, under the GPLv2 license. QuickLZ is fast and compresses very well. Check out the home page:

This package includes the QuickLZ 1.5.0 source code, at compression level 1 and streaming mode disabled.

The versioning scheme for this package is unusual. QuickLZ tries to be as fast as possible, and will break backwards compatibility to achieve it in newer versions. This versioning scheme reflects the QuickLZ versioning scheme: the first three digits of version w.x.y.z are the quicklz version, with the z component (and any further needed ones) being updates to this package, not quicklz itself.

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Change logNone available
Dependenciesbase (>=3 && <5), bytestring (==0.9.*) [details]
AuthorAustin Seipp
Home page
Bug tracker
Source repositoryhead: git clone
UploadedThu Oct 13 19:45:05 UTC 2011 by AustinSeipp
Downloads1895 total (25 in last 30 days)
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StatusDocs uploaded by user
Build status unknown [no reports yet]




memory-safeenable quickLZ memory safety checksDisabledAutomatic

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info


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Readme for quicklz-

Fast compression for Haskell ByteStrings

This library implements Haskell bindings to QuickLZ, a fast compression library. The interface is very simple:

compress    :: ByteString -> ByteString
decompress  :: ByteString -> ByteString
decompress' :: ByteString -> ByteString -- overlapping decompression

As the name states, QuickLZ is fast - at both compression and decompression. Per their own benchmarks, at compression level 1, QuickLZ 1.5.0 has a compression speed of 308Mbyte/s, and a decompression speed of 358Mbyte/s (their benchmarks, Core i7 920.)


Just use cabal:

cabal install quicklz

Join in

File bugs in the GitHub issue tracker.

Master git repository:


See AUTHORS.txt.


GPLv2. See LICENSE.txt for terms of copyright and redistribution.


This package has some benchmarks and tests associated - I would like to expand the benchmarks to include bigger data sets in the future.

There is currently only an interface for strict ByteStrings.

I would like to implement the streaming mode functionality sometime in the future, perhaps tying it to John Millikin's enumerator package.