An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
nanoflann wrapper for python and maybe fortran
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
Density-peak clustering with path-density mutual-reachability merging. Sub-quadratic O(n log n) via a C++ pybind11/nanoflann kd-tree. 30× speedup at n=50k.
A high-performance Python library for parallel k-NN search and IDW on scattered data, powered by a C++ core.
