Kanzi – modern lossless data compressor

Kanzi is a modern, modular, portable, and efficient lossless data compressor.

Unlike many mainstream lossless compressors, Kanzi is not limited to a single compression approach. It combines multiple algorithms and techniques to offer a broad range of compression ratios and adapt to different types of data. It is designed to exploit multi-core CPUs by compressing blocks in parallel.

Kanzi is a data compressor, not an archiver. It does not provide features such as cross-file deduplication or data recovery, and it is not compatible with standard compression formats.

This is free and open source software.

Key Features

  • Fast lossless data compression
  • Multi-threaded by design
  • Selectable entropy codecs and data transforms
  • Supports a broad range of compression ratios
  • Content-aware transforms for specific data types
  • Produces a seekable bitstream
  • No external dependencies
  • Builds on Linux, macOS, BSD, and Windows
  • Offers command-line tools and C/C++ APIs

Website: github.com/flanglet/kanzi-cpp
Support:
Developer: flanglet
License: Apache License 2.0

Kanzi is written in C++. Learn C++ with our recommended free books and free tutorials.


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PBZIP2Parallel implementation of the bzip2 block-sorting file compressor
lrzipCompression utility that excels at compressing large files
lbzip2Parallel bzip2 compression utility, suited for serial and parallel processing
plzipMassively parallel (multi-threaded) lossless data compressor based on lzlib
crabzLike pigz but written in Rust
PXZRuns LZMA compression on multiple cores and processors

Read our verdict in the software roundup.


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