๐ฌ Research Algorithms - Experimental & Cutting-Edge
โ๏ธ Quantum-Inspired: Uses quantum superposition principles for probabilistic compression. Excellent for random data, cryptographic keys, and high-entropy content. May achieve superior ratios on seemingly incompressible data.
๐ง Neural Network: Deep learning autoencoder approach that learns data patterns. Outstanding for images, structured datasets, and data with complex patterns. Adaptive compression that improves with usage.
๐ฎ PPMD: Context-aware statistical modeling using partial matching. Exceptional for natural language, source code, and structured text. Predicts next characters based on context.
๐งฎ Arithmetic Coding: Near-optimal entropy encoding using fractional bits. Best theoretical compression for small files. Ideal when every byte counts and speed isn't critical.
๐ช๏ธ Burrows-Wheeler: Advanced text preprocessing with block sorting. Excellent for DNA sequences, text files, and highly repetitive data. Foundation of many modern compressors.
๐ธ Fractal: Self-similarity pattern recognition for geometric compression. Perfect for textures, patterns, and data with recursive structures. Experimental but potentially revolutionary.
๐ Production Algorithms - Proven & Reliable
๐ ZSTD: Facebook's Zstandard - best all-around compressor. Superior compression ratios with good speed. Ideal for databases, large files, and general-purpose use.
โก LZ4: Ultra-fast compression prioritizing speed over ratio. Perfect for real-time applications, streaming data, and when decompression speed is critical.
๐ฅ Brotli WASM: Google's Brotli with WebAssembly acceleration. Exceptional for web assets, JSON, and text-based formats. Better than gzip for web content.
โ๏ธ Specialized Algorithms - Specific Use Cases
๐ Snappy: Google's high-speed compressor for big data. Optimized for throughput in distributed systems. Used by major databases and analytics platforms.
๐ LZMA: Maximum compression ratio algorithm. Best for archival, backup, and when storage space is more important than speed. Used in 7-Zip.
โพ๏ธ CMIX: Competition-grade multi-algorithm cascade. Research-level compression for maximum ratios. Slow but achieves incredible compression on suitable data.
๐ก Quick Recommendations:
โข Not sure? Use Auto (ML) - it chooses the best algorithm
โข Speed matters? Use LZ4 or Snappy
โข Size matters? Use LZMA or Arithmetic
โข Text/documents? Use PPMD or Burrows-Wheeler
โข Web content? Use Brotli WASM
โข Experimenting? Try Quantum-Inspired or Neural Network