copc

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

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++

Number Converter, 3D viewers: 3DM, 3DS, 3D Tiles, 3MF, AMF, ASSIMP, BIM, BREP, COPC, DAE, DST, EPT, FBX, GCODE, GLTF, IFC, IGES, JSON, LAS, LDRAW, MMD, OBJ, PCD, PDB, PLY, PRWM, SPLAT, STEP, STL, SVG, USDZ, VRML, VTK, XYZ and Texture Viewer for PCX, PNG, JPG, BMP, GIF, TIFF, TGA, SVG, WEBP, DDS, KTX(2), EXR, HDR, BASIS, Lottie JSON. Some AR / VR.

A modular platform for managing, processing, and visualizing UAS data. Built on a FastAPI backend with a documented API, a React + TypeScript client, and supporting layers for database, caching, and task orchestration.

Browser-based LiDAR and point-cloud viewer - measure, classify, profile, and export, entirely client-side on WebGPU with a WebGL2 fallback. Runs locally, no upload.

Rust-native spatial computing for point clouds, computer vision, and GPU compute -- no C++/FFI layer.

A web-based LiDAR point cloud viewer

MapLibre GL JS Custom Layer for rendering Cloud Optimized Point Cloud

CesiumJS provider for real-time COPC point cloud streaming and rendering

TypeScript package to validate COPC files in NodeJS or Browser environments

AI-native open GIS. Ask in plain language, get a verified map.

Cloud-Optimized Point Cloud (COPC) streaming reader for Rust, with temporal index support

Lidar Processing on MAAP

Cloud-native COPC streaming and analysis for CesiumJS without 3D Tiles preprocessing

COPC 포인트 클라우드가 표출 및 변환되는 CesiumJS 기반 디지털 트윈

A cloud-native spatial data lake — STAC catalog, COG / GeoParquet / COPC / PMTiles, served by TiTiler / Martin / TiPG / DuckDB. Apache-2.0.

Open point-cloud catalog of Japanese decorative manhole covers.

Convert LAZ point cloud file to COPC

Stream COPC (.copc.laz) point clouds directly into CesiumJS — no pre-tiling, no backend; 3D Tiles synthesised on the fly in a Service Worker.

An enterprise-grade Quality Management System (QMS) Command Center built in Power BI. Features a conformed star schema, automated Six Sigma/SPC control charts natively in DAX, and dynamic FMEA risk scoring to transform QA and CRM data into actionable operational insights. (267 characters)