Point Cloud Python Packages

laspy

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

fastremap

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

point-cloud-utils

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

fpsample

Python efficient farthest point sampling (FPS) library. Compatible with numpy.

meshlib

Mesh processing library

spconv-cu126

Spatial Sparse Convolution Library

pycpd

Pure Numpy Implementation of the Coherent Point Drift Algorithm

mmdet3d

OpenMMLab's next-generation platform for general 3D object detection.

spconv-cu121

Spatial Sparse Convolution Library

spconv

Spatial Sparse Convolution Library

spconv-cu120

Spatial Sparse Convolution Library

itkwidgets

An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.

copclib

copc-lib provides an easy-to-use reader and writer interface for creating and reading Cloud Optimized Point Clouds, with bindings for Python and C++

pyransac3d

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

spconv-cu124

Spatial Sparse Convolution Library

spconv-cu118

Spatial Sparse Convolution Library

cupoch

Robotics with GPU computing

cycpd

Cython implementation of Coherent Point Drift (CPD)

spconv-cu111

spatial sparse convolution

pgeof

Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud

spconv-cu113

Spatial Sparse Convolution Library

spconv-cu102

spatial sparse convolution

simpleicp

Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.

telekinesis-medulla

Telekinesis Agentic Skill Library: build AI-powered Computer Vision, Robotics and Physical AI applications.