This project provides a lossless compression algorithm and a byte-oriented compression library designed for high-speed data reduction and maximum decompression speed. It functions as a stream-oriented compression engine, a software library for encoding and decoding data blocks, and a command-line tool for managing interoperable compressed frames. The system distinguishes itself through the use of predefined pattern dictionaries to improve compression ratios for small data sets and small packets. It supports multiple processing modes, including high-speed block compression for minimal latency
Brotli is a lossless data compression library and engine that uses dictionary coding and frequency analysis to reduce file sizes. It provides tools for shrinking data streams and files while ensuring every bit of original information is preserved for perfect restoration. The project focuses on optimizing web content and network bandwidth by reducing the size of HTML, CSS, and JavaScript files. It is designed for integration into web servers and browsers to improve the efficiency of data transmission. The library includes capabilities for both compressing and decompressing data streams. It al
Zstandard is a lossless data compression library and archive format designed for high compression ratios and fast real-time processing. It functions as a real-time data compressor and multi-threaded compression engine capable of distributing workloads across multiple CPU cores to increase throughput. The system features a dictionary-based compressor that trains on sample data to improve the compression ratio and speed of small files. It also provides long distance pattern matching to identify repeated sequences across large files. The library covers a broad range of capabilities including st
zlib is a lossless data compression library that implements the deflate compression algorithm, combining LZ77 sliding window and Huffman coding. It provides the core compression and decompression engines, along with support for gzip, zlib, and raw deflate stream formats, enabling data to be compressed and restored without any loss of information. The library offers a range of capabilities for handling compressed data, including single-call memory and file operations, as well as incremental stream-based processing for working with data larger than available memory. It includes mechanisms for a
Snappy is a high-performance lossless compression library implemented in C++. It provides data reduction methods that perfectly restore original information, focusing on system-level efficiency and processing velocity across different platforms.
Las características principales de google/snappy son: High-Speed Block Compression, Lossless Compressors, Real-Time Compression, Compression Libraries, High-Throughput Decompression, Safe Data Extraction, Data Compression and Decompression, Robust Decompressors.
Las alternativas de código abierto para google/snappy incluyen: lz4/lz4 — This project provides a lossless compression algorithm and a byte-oriented compression library designed for high-speed… google/brotli — Brotli is a lossless data compression library and engine that uses dictionary coding and frequency analysis to reduce… facebook/zstd — Zstandard is a lossless data compression library and archive format designed for high compression ratios and fast… madler/zlib — zlib is a lossless data compression library that implements the deflate compression algorithm, combining LZ77 sliding… protocolbuffers/protobuf — Protocol Buffers is a language-neutral, platform-agnostic mechanism for serializing structured data. It provides a… esotericsoftware/kryo — Kryo is a Java binary serialization framework and object cloning library used to convert Java objects into a compact…