{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"Laspy reads, modifies, and writes LAS and LAZ LiDAR point cloud files, with support for streamed/chunked processing, COPC format, and optional CRS transformation via pyproj.","skillfed_tags":["lidar","geospatial","point-cloud"],"use_cases":["Filter and extract specific point classes (e.g., ground, vegetation) from large LAS/LAZ files for analysis.","Convert between LAS and LAZ formats or reproject point cloud coordinates using CRS support.","Process multi-gigabyte LiDAR datasets in chunks to avoid loading entire files into memory.","Read LAS file headers and metadata to inspect point formats and record counts before full processing.","Build geospatial data pipelines that read, transform, and write LiDAR point clouds programmatically."],"what_it_does":"Laspy is a native Python library for working with ASPRS LAS and LAZ LiDAR point cloud files. It handles the full lifecycle of LAS data: reading files into memory, filtering and modifying point records, and writing results back to disk. The library supports both complete file operations and streamed/chunked processing for handling large datasets that may not fit in memory at once. It can read file headers and metadata without loading all points, and supports COPC (Cloud Optimized Point Cloud) format both from local files and over HTTPS.\n\nThe package depends only on numpy for its core functionality, keeping installation simple and lightweight. Optional features like LAZ compression and CRS coordinate transformation require additional packages (lazrs/laszip and pyproj respectively) that can be installed separately. The library is actively maintained, marked as Production/Stable, and widely used in geospatial and LiDAR processing workflows.","worth_installing":"Yes. Laspy is the standard Python library for LAS/LAZ file handling, actively maintained, Production/Stable, with minimal dependencies and no known vulnerabilities. Install it if you work with LiDAR data or ASPRS point cloud formats. The only consideration is the Python 3.10+ requirement; if you're on an older version, you'll need to upgrade."},"id":"laspy","links":{"html":"https://skillfed.io/packages/laspy","md":"https://skillfed.io/packages/laspy.md","pypi":"https://pypi.org/project/laspy/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-01-14","license_spdx":"BSD-2-Clause","license_treatment":"permissive","name":"laspy","python_support":"supports_current","summary":"Native Python ASPRS LAS read/write library"},"popularity":{"monthly_downloads":1941539,"position":3417,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.7.0"}