Bitshuffle is an algorithm that rearranges typed, binary data for improving compression, as well as a python/C package that implements this algorithm within the Numpy framework.

This package provides utilities to handle AR files in Python.

PPMd is a compression algorithm library using the Prediction by Partial Matching statistical technique. It is used in RAR and 7-Zip as one of several possible methods.

Blosc2 is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() system call.

Python-Blosc2 wraps the C-Blosc2 library, and it aims to leverage its new API so as to support super-chunks, multi-dimensional arrays, serialization and other features introduced in C-Blosc2.

Python-Blosc2 also reproduces the API of Python-Blosc and is meant to be able to access its data, so it can be used as a drop-in replacement.

Lz-string is a string compressor library for Python.

This module provides an xopen function that works like Python's built-in open function, but can also deal with compressed files. Supported compression formats are gzip, bzip2 and, xz, and are automatically recognized by their file extensions. The focus is on being as efficient as possible on all supported Python versions.

This package implement a pure Python module for uncompressing LZW files (.Z), such as the ones created by Unix's shell tool compress.

Bitshuffle is an algorithm that rearranges typed, binary data for improving compression, as well as a python/C package that implements this algorithm within the Numpy framework.

MultiVolumefile is a Python library that provides a file-object abstraction, making it possible to use multiple files as if they were a single file.

This package provides python bindings for the lz4 compression library by Yann Collet. The project contains bindings for the LZ4 block format and the LZ4 frame format.

Blosc is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() system call.

Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc.

This Python package wraps the Blosc library.

python-python-snappy provides bindings to the Snappy library and can be used to compress and decompress files and streams. It can also be used directly from the command line.

This package contains a very thin Python wrapper for libdeflate.

This package provides thin Python bindings to compression and decomporession algorithms implemented in Rust. This allows for using algorithms such as Snappy without additional system dependencies. The following algorithms are available:

• Snappy

• Brotli

• Bzip2

• LZ4

• Gzip

• Deflate

• Zstd

This package provides a Python interface to the brotli package, an implementation of the Brotli lossless compression algorithm.

This package provides Python bindings to the Zstandard (zstd) compression library. The API is similar to Python's bz2/lzma/zlib module.

pyzopfli is a straight forward wrapper around the ZlibCompress method of the the zopfli library.

Bitshuffle is an algorithm that rearranges typed, binary data for improving compression, as well as a python/C package that implements this algorithm within the Numpy framework.

This package provides a Python interface to the brotli package, an implementation of the Brotli lossless compression algorithm.

This package aims to provide faster zlib and gzip compatible compression and decompression by implementing Python bindings for the ISA-L library.

This package provides a pathlib-compatible Zipfile object wrapper. It provides a backport of the Path object.

The inflate64 package provides Deflater and Inflater classes to compress and decompress with the Enhanced Deflate compression algorithm.

Pyppmd provides classes and functions for compressing and decompressing text data, using the Prediction by partial matching (PPM) compression algorithm variation H and I.2. It provides an API similar to Python's zlib/bz2/lzma modules.

In data compression, BCJ, short for Branch-Call-Jump, refers to a technique that improves the compression of machine code of executable binaries by replacing relative branch addresses with absolute ones. This allows a LZMA compressor to identify duplicate targets and archive higher compression rate. BCJ is used in the 7-zip compression utility as the default filter for executable binaries.

pybcj provides Python bindings to a BCJ implementation in C.