Modules#
SplineOps keeps its spline tools as independent public modules. Their maturity labels describe API and validation stability, not the importance of the underlying methods.
Stable#
Native N-D interpolation and projection antialiasing, with explicit grids, axes, boundaries, output buffers, and a Python reference path.
Stabilizing#
Continuous tensor-product spline models evaluated at arbitrary coordinates.
Research modules#
These modules are experimental. Their APIs or validation contracts may change while their individual graduation audits remain open.
Spline-evaluated 2-D and 3-D geometric transforms.
Gradients, Hessians, Laplacians, and derived features.
Fractional and regularized smoothing methods.
Sparse one-dimensional piecewise-linear models.
Spline pyramids and wavelet transforms.
Exact support boundaries, evidence, and remaining graduation work.