PDAL/PDAL

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1404 stars · 507 forks observed · 2026-08-28

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

PDAL (Point Data Abstraction Library) is a C++ library and suite of command-line applications for translating, filtering, and manipulating point cloud data, analogous to GDAL for raster/vector data. It composes processing operations into declarative JSON pipelines of reader, filter, and writer stages, and offers Python bindings.

Use cases

• convert LAS/LAZ LiDAR files to other formats
• reproject point cloud data to a different coordinate system
• load LiDAR data into a PostgreSQL database
• filter and classify point clouds with pipelines
• compute geometric feature descriptors on point neighborhoods
• inspect and query point cloud file metadata from the command line

When to choose

• you need a mature, format-agnostic tool for reading, writing, and transforming point cloud data
• you want composable, reusable processing pipelines instead of monolithic one-off scripts
• you work with LiDAR or other point cloud formats like ASPRS LAS
• you need Python integration for point cloud processing workflows

When to avoid

• you only work with raster or vector geospatial data, where GDAL is the better fit
• you need mesh processing or 3D surface modeling rather than point cloud handling
• you need a lightweight pure-Python solution without C++ dependencies

Facets

library · maturity stable

file-system data-science cli sdk plugin-system files developer-tools windows cpp python cross-platform cli point-cloud lidar las gdal pipeline geospatial-data point-cloud-processing geospatial data-engineering linux macos

Member repositories

For agents

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