google/brotli
Brotli
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 also provides analysis tools to generate optimal backward references and visualize reference distributions to evaluate compression patterns.
Features
- Data Compression Algorithms - Provides a high-performance lossless data compression algorithm to shrink file sizes without data loss.
- Stream Decompressors - Ships a dedicated decompressor to restore Brotli-compressed data streams to their original state.
- Web Content Optimizers - Optimizes web content by reducing the size of HTML, CSS, and JavaScript files for faster page loads.
- Compression Libraries - Provides a comprehensive library for lossless data compression and decompression using dictionary coding.
- Dictionary-Based Compression - Employs a static dictionary of common strings to represent frequent patterns without encoding them in the stream.
- Real-Time Data Compressors - Acts as a high-throughput tool for the lossless compression of files and data streams.
- Data Stream Compression - Supports the lossless compression of continuous data streams to maximize transmission and storage efficiency.
- Data Compression and Decompression - Includes a decoder to restore compressed data streams back to their original state according to the Brotli standard.
- LZ77 Backward Referencing - Utilizes LZ77 backward references to replace repeated data occurrences with pointers, significantly reducing file size.
- Compression Algorithms - Implements a compression engine based on LZ77 backward referencing and Huffman coding.
- Sliding Window Matching - Uses a sliding window buffer to identify and replace repeating patterns in the data stream.
- HTTP Request Compression - Integrates with web servers and browsers to compress HTTP traffic for more efficient data transmission.
- Transfer Optimizations - Reduces the volume of data transferred between servers and clients to lower latency and bandwidth costs.
- Huffman Coding Implementations - Implements Huffman coding to assign shorter bit-codes to frequent symbols for efficient entropy encoding.
- Context Modeling - Employs second-order context modeling to select probability distributions based on previous characters for better compression ratios.
- Optimal Matching Algorithms - Implements a two-pass optimal matching process to determine the most efficient match lengths and distances.
- الضغط - Lossless algorithm based on LZ77 and Huffman coding.
- Compression Libraries - Brotli compression format implementation.
- Windows Environments - Listed in the “Windows Environments” section of the Awesome C awesome list.
