OpenZL: An Open Source Format-Aware Compression Framework
8 hours ago
- #structured-data
- #data-compression
- #open-source
- OpenZL is a new open-source data compression framework designed for lossless compression of structured data.
- It combines the performance of format-specific compressors with the simplicity of a single executable binary.
- OpenZL uses configurable sequences of transforms to reveal hidden order in data, improving compression efficiency.
- The framework includes a universal decompressor capable of handling all OpenZL-compressed files, regardless of the original transform sequence.
- OpenZL outperforms traditional compressors like Zstandard and xz in both compression ratio and speed, as demonstrated in benchmark tests.
- The system allows users to describe data structure via presets or a Simple Data Description Language (SDDL), enabling automatic optimization of compression strategies.
- OpenZL features an offline trainer component that learns optimal compression configurations for specific data types.
- The framework supports runtime adaptation through control points that adjust compression strategies based on data characteristics.
- OpenZL maintains backward compatibility, allowing decompression of older files while continuously improving compression for new data.
- The project is open for community contributions, including new transforms, optimizations, and format support.