Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.

JNI binding for Zstd

SimplE Lossless Audio

CD image processing suite with optimized lossless encoders in C#

🧙‍♂️ From developers to developers: a cross-platform tool for losslessly image compression.

JavaScript FLAC encoder, decoder

GPU CUDA Lossless Compressors Survey

Java rewrite of Sela lossless audio codec

compute entropy of an image, text; encode/decode text with huffman coding, LZW, LZ77; quantizatize image, signal

🔧 Arithmetic coding algorithm implemented in Node.js, both API and CLI support. 算术编码 npm 包，支持 API 调用和 CLI。

A clone of TTA Lossless Audio Codec

Reversible permutation of the characters of a string, which can be used for lossless data compression based on block sorting.

Lossless compression implementation in Java

A streaming LZ predictor compression tool

Image compression and decompression using LZW written in java

A Java program that implements (4) four lossless text compression techniques for ASCII Text and compares compression ratio.

University Project ( Class: Audio Video Coding )

Assignments for the Audio Video Codification course.

Little module to compress arbitrary data, e.g. before sending to the server. Simple to use; huffman.compress() and huffman.decompress().

ImageCodec

Tiny library that work like a bee to bring you sweet result

Its is one of the lossless compression algorithm.

Huffman coding applied on images to obtain lossless image compression

This program is created to understand how Shannon Fano Coding works.

A high speed LZ style lossless compression tool

RLS-Golomb-Rice lossless codec

Lossless compression using Run-Length

Ravdec is a module written in python, which is based on a Lossless Data Compression Algorithm designed by Mr. Ravin Kumar on 19 September, 2016.This compression algorithm have a fixed compression ratio of 1.1429 in all possible cases, It accepts data of following format: alphabets,numbers, and symbols.It can be used where the machine generates data at a very fast rate, that it became difficult for other algorithms to calculate the probability of a symbol, as data keeps on getting large, and is transmitted over the network with a much faster rate. In this case also, the above module, and algorithm gives the same compression ratio.