Release of FAPEC
Today we have released the new version of our professional data compression software, FAPEC Archiver 24.0, as well as its graphical front-end for Windows, WinFAPEC 1.1.
As in previous versions, the software can be downloaded from our website, at this link. Without any cost, it will provide you free decompression features (with some minor limitations) of .fapec files, both in command-line and with WinFAPEC (for Windows platforms). The command-line compressor and decompressor is available for Windows, macOS (x86_64 and M1 processors) and Linux (x86_64 and ARM processors).
Today we have also released fapyc 0.6.0, the Python wrapper for FAPEC. You can easily get it with a simple command:
pip install fapyc
To compress files (either through the command-line, with WinFAPEC or with fapyc), you will need a valid FAPEC license. You can get free 30-days evaluation licenses from our website. For full licenses, integration in your systems and support, please contact us.
As usual, FAPEC Archiver (and now also WinFAPEC) includes our professional technology:
- High-performance, multi-threaded, versatile two-stage data compression.
- Automatic algorithm selection from a quick analysis of each file to be compressed.
- Professional stages: Kongsberg’s MBES data, CILLIC image and video compression, tabular (CSV) data, FastQ genomics compression, Audio and RF compression…
- In this version, we have added several improvements for KMALL and KMWCD files compression. Remarkably, FAPEC now offers the option to compress in “instrumentally lossless” mode, removing the noise bits from the data, significantly increasing the ratios while not affecting the quality data.
- Ultra-fast compression for speeds in the GB/s regime.
- Lossy compression options for most of the stages, configurable by the user (lossless is set by default).
- Basic data analytics on-the-fly, allowing to obtain some statistics from each file. It includes, for example, a “flatness map” of images (with CILLIC), or the compressibility of Kongsberg MBES watercolumn datagrams – which allow detecting features in the watercolumn.
- On-the-fly encryption with XXTEA (and AES-256 for full licenses). Error recovery from corrupted files.
- API for third-party integration in C/C++, Python, Java, HDF5, FITS…
Have fun!