daavoo/pyntcloud

Health v2 · maintenance only

Adoption not part of the score

1500 stars · 230 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

pyntcloud is a Python library for working with 3D point clouds, built on the Python scientific stack (pandas, numpy). It supports loading/saving point cloud formats, scalar field computation, voxelization, sampling, and conversion to/from libraries like Open3D and PyVista.

Use cases

• load and save 3D point clouds in PLY or NPZ format
• voxelize a point cloud and downsample it
• convert point clouds between Open3D and PyVista
• compute scalar fields like HSV from RGB point data
• process 3D LiDAR scan data in Python
• prepare point clouds for deep learning pipelines

When to choose

• you need lightweight point cloud I/O and processing in Python
• you want easy interop with Open3D or PyVista
• you prefer working with pandas/numpy data structures for 3D data

When to avoid

• you need full-featured 3D geometry processing like mesh repair or registration
• you need GPU-accelerated point cloud processing
• you work outside the Python ecosystem

Facets

library · maturity active

image-processing data-science graphics file-system computer-vision graphics data-science machine-learning python cross-platform point-clouds 3d voxel-grid ply open3d pyvista numpy

Member repositories

For agents

markdown · JSON · MCP: product_card(name="daavoo/pyntcloud")