zlib - A Massively Spiffy Yet Delicately Unobtrusive Compression Library

  •        819

zlib is a general purpose data compression library. All the code is thread safe. It is ported to different programming languages like Java, CSharp, Python and Perl.

http://zlib.net/

Tags
Implementation
License
Platform

   




Related Projects

7-Zip - File archiver with a high compression ratio


7-Zip is a file archiver with the high compression ratio. The program supports 7z, XZ, BZIP2, GZIP, TAR, ZIP, WIM, ARJ, CAB, CHM, CPIO, CramFS, DEB, DMG, FAT, HFS, ISO, LZH, LZMA, MBR, MSI, NSIS, NTFS, RAR, RPM, SquashFS, UDF, VHD, WIM, XAR, Z.

zlib - Compression and decompression in the gzip and zlib formats


Compression and decompression in the gzip and zlib formats

ghc-zlib - Compression and decompression in the gzip and zlib formats


Compression and decompression in the gzip and zlib formats

zlib - The zlib compression and decompression library


The zlib compression and decompression library

zlib-range - Zlib compression/decompression with range concepts.


Zlib compression/decompression with range concepts.



Snappy-ObjC - Google's Snappy compression power as NSData/NSString categories


Snappy is a compression/decompression library. It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression. For instance, compared to the fastest mode of zlib, Snappy is an order of magnitude faster for most inputs, but the resulting compressed files are anywhere from 20% to 100% bigger. On a single core of a Core i7 processor in 64-bit mode, Snappy compresses at about 250 MB/sec or more and decompresses at about 500 MB/sec or more.Using CocoaPods (which you should be using), only add a line saying pod 'Snappy' and compress away.

pigz - A parallel implementation of gzip for modern multi-processor, multi-core machines


pigz, which stands for parallel implementation of gzip, it compresses using threads to make use of multiple processors and cores. The input is broken up in to 128 KB chunks with each compressed in parallel. The individual check value for each chunk is also calculated in parallel. The compressed data is written in order to the output, and a combined check value is calculated from the individual check values.

Zstandard - Fast real-time compression algorithm


Zstandard is a real-time compression algorithm, providing high compression ratios. It offers a very wide range of compression / speed trade-off, while being backed by a very fast decoder. It also offers a special mode for small data, called dictionary compression, and can create dictionaries from any sample set.

PeaZip - Cross-platform file and archive manager


PeaZip is a free file archiver utility and rar extractor for Windows and Linux, work with 150+ archive types and variants (7z, ace, arc, bz2, cab, gz, iso, paq, pea, rar, tar, wim, zip, zipx...), handle spanned archives and support multiple archive encryption standards. The project aims to provide a cross-platform, portable, GUI frontend for multiple Open Source technologies (7-Zip, FreeArc, PAQ, PEA, UPX) focused on file and archive management, and security

zlib - Library for compression and decompression


Library for compression and decompression

crossmingw32-zlib - Library for compression and decompression - MinGW32 cross version


Library for compression and decompression - MinGW32 cross version

Lz4 - Extremely Fast Compression algorithm


LZ4 is a very fast lossless compression based on well-known LZ77 (Lempel-Ziv) algorithm, providing compression speed at 300 MB/s per core, scalable with multi-cores CPU. It also features an extremely fast decoder, with speeds up and beyond 1GB/s per core, typically reaching RAM speed limits on multi-core systems.

QuickLZ - Fastest Compression Library in C, C# and Java


QuickLZ is the world's fastest compression library, reaching 308 Mbyte/s per core. It supports Streaming mode for optimal compression ratio of small packets down to 200 - 300 bytes in size.

SHARC - Fastest lossless compression algorithm


SHARC is an extremely fast lossless dictionary-based compression algorithm. It is capable of an unprecedented compression speed of more than 500 MB/s per core on modern Intel CPUs ! It is scalable on multi core/multi CPU, developed in pure C99, and easily portable on many platforms.

Basic Compression Library


Basic Compression Library is a set of open source implementations of RLE (Run Length Encoding), Huffman, Rice, Lempel-Ziv (LZ77) and Shannon-Fano compression algorithms.

zopfli - Zopfli Compression Algorithm is a compression library programmed in C to perform very good, but slow, deflate or zlib compression


Zopfli Compression Algorithm is a compression library programmed in C to perform very good, but slow, deflate or zlib compression.

heatshrink - data compression/decompression library for embedded/real-time systems


data compression/decompression library for embedded/real-time systems

ZLib for Ada thick binding.


The ZLib.Ada is a thick binding to the popular compression/decompression library ZLib http://www.gzip.org/zlib/. ZLib.Ada provide Ada style access to the ZLib C library.

Givati-Compression


A smart and lossless data compression algorithm with a focus on repeating data structures like JSON/JSONH, network and language permeability, decompression without requiring a pre-agreed dictionary, and minimum size over speed. Compression and speed comparable to Lempel–Ziv–Welch (LZW)

lz4 - Extremely Fast Compression algorithm


LZ4 is lossless compression algorithm, providing compression speed at 400 MB/s per core, scalable with multi-cores CPU. It features an extremely fast decoder, with speed in multiple GB/s per core, typically reaching RAM speed limits on multi-core systems.Speed can be tuned dynamically, selecting an "acceleration" factor which trades compression ratio for more speed up. On the other end, a high compression derivative, LZ4_HC, is also provided, trading CPU time for improved compression ratio. All versions feature the same decompression speed.