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

•    C++

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Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.This can be used to archive large photo collections, or to serve images live and save 22% bandwidth.

jpeg lossless-compression-algorithm decompression compression-algorithm compression

Flyimg - Microservice to resize and crop images on the fly

•    PHP

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Image resizing, cropping and compression on the fly with the impressive MozJPEG compression algorithm. One Docker container to build your own Cloudinary-like service.You pass the image URL and a set of keys with options, like size or compression. Flyimg will fetch the image, convert it, store it, cache it and serve it. The next time the request comes, it will serve the cached version.

image image-processing resize-images crop-image docker jpeg png webp gif compression-algorithm flysystem microservice mozjpeg imagemagick compression crop face-detection image-api image-service

divans - Building better compression together

•    Rust

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The divANS crate is meant to be used for generic data compression. The algorithm has been tuned to significantly favor gains in compression ratio over performance, operating at line speeds of 150 Mbit/s. Divans should primarily be considered for cold storage and compression research. The compression algorithm is highly modular and new algorithms only need to be written a single time since generic trait specialization constructs optimized variants of the codec for both compression and decompression at compile time.

compression-algorithm compression decompress decompressor rust-lang arithmetic-coding

PyFastPFor - Python bindings for the fast integer compression library FastPFor.

•    C++

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Python bindings for the fast light-weight integer compression library FastPFor: A research library with integer compression schemes. FastPFor is broadly applicable to the compression of arrays of 32-bit integers where most integers are small. The library seeks to exploit SIMD instructions (SSE) whenever possible. This library can decode at least 4 billions of compressed integers per second on most desktop or laptop processors. That is, it can decompress data at a rate of 15 GB/s. This is significantly faster than generic codecs like gzip, LZO, Snappy or LZ4. Daniel Lemire, Leonid Boytsov, Owen Kaser, Maxime Caron, Louis Dionne, Michel Lemay, Erik Kruus, Andrea Bedini, Matthias Petri, Robson Braga Araujo, Patrick Damme. Bindings are created by Leonid Boytsov.

simd-compression compression-schemes sorted-lists compression-algorithm

lzbase62 - LZ77(LZSS) based compression algorithm in base62 for JavaScript.

•    Javascript

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LZ77(LZSS) based compression algorithm in base62 for JavaScript. The compressed result will be a string in base 62 (0-9A-Za-z) characters. This is useful when storing the large data in a size limited storage (e.g., localStorage, cookie etc.).

lzss lz77 base62 compression-algorithm zip zlib compression compress string ecmascript base64 base62x