API Reference

SpectraKit's API is organized into subpackages by function category. All core processing functions are also re-exported from the top-level spectrakit namespace.

Core Containers

Module	Description
Spectrum	Spectral data container
Pipeline	Processing pipeline
Exceptions	Custom exception types

Processing Functions

Module	Functions	Description
Baseline	baseline_als, baseline_snip, baseline_polynomial, baseline_rubberband	Baseline correction
Normalize	normalize_snv, normalize_minmax, normalize_area, normalize_vector	Normalization
Smooth	smooth_savgol, smooth_whittaker	Smoothing / noise reduction
Derivative	derivative_savgol, derivative_gap_segment	Spectral derivatives
Scatter	scatter_msc, scatter_emsc	Scatter correction
Transform	transform_kubelka_munk, transform_atr_correction	Spectral transforms
Operations	spectral_subtract, spectral_average, spectral_interpolate	Spectral arithmetic
Peaks	peaks_find, peaks_integrate	Peak analysis
Similarity	similarity_cosine, similarity_pearson, similarity_spectral_angle, similarity_euclidean	Similarity metrics

I/O and Visualization

Module	Description
IO	File format parsers
Plot	Plotting utilities (requires matplotlib)

Optional Integrations

Module	Description
Contrib	pybaselines and lmfit backends
sklearn	scikit-learn transformer bridge