NumblFluid V5 – Technology Preview
Practical implementation of the “Nilpotent Modular Reduction” framework by Andrea Esposito, officially registered on Zenodo (V1, V2, V3).
License: This tool is distributed under the CC BY-NC-SA 4.0 International License. Sharing and adaptations are permitted for non-commercial purposes only, provided that credit is given to the author and works are redistributed under the same license.
Scientific Reference:
Zenodo
Practical implementation of the “Nilpotent Modular Reduction” framework by Andrea Esposito, officially registered on Zenodo (V1, V2, V3).
License: This tool is distributed under the CC BY-NC-SA 4.0 International License. Sharing and adaptations are permitted for non-commercial purposes only, provided that credit is given to the author and works are redistributed under the same license.
Scientific Reference:
Zenodo
numblfluid.it
NumblFluid Compression Engine V5
Compact binary DRF3 container with minimal header, adaptive Q encoding, bit-packed DR/FN streams, whole-block zlib compression, and safe fallback.
DRF3Compact HeaderWhole Block zlibAdaptive Q
Upload file
Engine status
ContainerDRF3
HeaderBinary packed
Q streamUINT8 / DELTA / RLE / zlib
DR stream4-bit / RLE
FN stream3-bit / RLE
Block compressionWhole payload zlib
NumblFluid Structured Compression Engine
This tool is an experimental demonstration of the NumblFluid compression framework. It is not intended for production use or large-scale deployment by third parties. The current implementation is provided solely as a technical preview for demonstration and evaluation purposes.
This demo is self-contained and aimed at those who are interested in exploring the underlying technology. For further information or inquiries, please contact the site administrator.
Performance characteristics:
The engine is optimized for structured and repetitive data formats, including:
The engine is not optimized for high-entropy or random binary data (e.g. already compressed files), where compression gains may be limited or negative.
This tool is an experimental demonstration of the NumblFluid compression framework. It is not intended for production use or large-scale deployment by third parties. The current implementation is provided solely as a technical preview for demonstration and evaluation purposes.
This demo is self-contained and aimed at those who are interested in exploring the underlying technology. For further information or inquiries, please contact the site administrator.
Performance characteristics:
The engine is optimized for structured and repetitive data formats, including:
- JSON and structured datasets
- CSV and tabular data
- Log files and repetitive text patterns
The engine is not optimized for high-entropy or random binary data (e.g. already compressed files), where compression gains may be limited or negative.