Factual package intelligence from PyPI
Python toolkit for spectral data processing: baseline correction, normalization, smoothing, despiking, similarity metrics, peak analysis, and multi-format I/O.
pip install pyspectrakit
PyPI declares 30 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 25 of 30 declarations. The interactive dependency graph loads the complete metadata.
pyspectrakit publishes 1 wheel and 1 source archive for version 1.9.6. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .