Small & portable byte-aligned LZ77 compression

The Minimal LZMA (minlzma) project aims to provide a minimalistic, cross-platform, highly commented, standards-compliant C library (minlzlib) for decompressing LZMA2-encapsulated compressed data in LZMA format within an XZ container, as can be generated with Python 3.6, 7-zip, and xzutils

Study group for algorithms in Ruby, hosted at App Academy

PyLFSR

DotFastLZ - a port of FastLZ, Small and portable byte-aligned LZ77 compression for .NET, C#, Unity3D

📦 Lempel-Ziv Complexity, fast implementations with 🐍 Python (naive, Numba or Cython for speedup), Open-Source (MIT) 👍 →

Compression suite for data frames and tabular data files, csv, excel etc. Using LZHW algorithm.

Pure Python implementation of Deflate data compression algorithm.

SAP Report Source Decompressor

A streaming LZ predictor compression tool

Hamming, Huffman and etc algorithms

External memory LZ-End parsing algorithm

RLZAP: Relative Lempel-Ziv with Adaptive Pointers

this is a LZW image compression project using matlab

Fast and space-efficient conversion from the LZ77 parsing to a grammar

Engineered block tree construction based on the Longest Previous Factor array that also works in parallel.

This repository contains Java code implementing the LZ-78 (Lempel-Ziv 78) data compression algorithm. The LZ-78 algorithm is a lossless data compression method that replaces repeated occurrences of data patterns with references to previously encountered patterns.

This repository contains a Java implementation of the LZ-77 data compression algorithm. LZ-77 is a lossless data compression method that replaces repetitive sequences of characters with references to previously occurring data. It achieves compression by storing the position and length of a match in a sliding window of previously processed data.

Simple LZSS+RLE+RC32 compression algorithm realization (C/C++/Rust).

A high speed LZ style lossless compression tool