API Reference

The documented NumPy/CPU APIs below are stable in SplineOps 2.3. See API stability and support for precision, shape, boundary, and compatibility contracts. Experimental CuPy interoperability is described separately in Backend support contract.

Module	Description
Spline Interpolation	Extensible Python-based interpolation class for multidimensional data.
Resize	N-D interpolation and projection antialiasing with reusable native plans.
Affine	Affine transforms on 2D/3D data using spline interpolation.
Adaptive Regression Splines	Perform sparsest linear regression on 1D data.
Smoothing Splines	Fit splines to noisy data.
Differentials	Compute first and second-order spline derivatives on 2-D/3-D arrays.
Multiscale	Analyze 1D signals and 2D images at multiple scales.