$npx skillfedfor your agent

laszip

Bindings for LASzip made with pybind11

With conditionsPyPI Information AnalysisReleased Dec 2025140.0K downloads / mopermissive licensePlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — laszip-0.3.0-cp310-cp310-macosx_11_0_arm64.whl · laszip-0.3.0-cp310-cp310-macosx_11_0_x86_64.whl · laszip-0.3.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
v0.3.0 · released 2025-12-31 · Python >=3.9

Yes, if you are using laspy and need LASzip compression support. The package is permissively licensed, has no runtime dependencies, and offers pre-built wheels for modern Python versions. However, the aging maintenance status (226 days since release, minimal repository activity) means you should verify that it still meets your compression needs and check whether laspy's own integration is sufficient before adopting it as a standalone tool.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python >=3.9; building from source requires pybind11 and CMake to be installed and properly configured.
  • Medium install friction due to compiled C++ bindings; wheels are available for multiple Python versions on macOS, Linux, and Windows, but building from source requires pybind11 and CMake.
  • The package is aging (226 days since last release) with minimal maintenance activity (4 repository stars).

License · maintenance · safety

permissive license (permissive) — MIT License permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package provided you retain the copyright notice and license text.

last release 2025-12-31 (226 days) · last repo commit 2025-12-31 · 4 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 139,972 downloads/mo, #11,282 on PyPI

Verify before relying

pip install laszip

import laszip
# Use laszip bindings to compress/decompress LAS data via laspy integration
  • Whether laszip can be used standalone or only through laspy integration
  • Specific compression/decompression APIs available in the bindings
  • Performance characteristics compared to other LAS compression approaches
  • Whether the package is actively maintained or in maintenance-only mode
Same gist for agents: .md · .json

What it is and what it does

laszip-python wraps the LASzip C++ library using pybind11, exposing LAS point cloud compression functionality to Python. LASzip is a standard compression format for LiDAR data, and this package's primary purpose is to provide integration within laspy, a popular Python library for reading and writing LAS files. The bindings are available as pre-compiled wheels for recent Python versions on common platforms, though building from source requires CMake and pybind11.

The package has no runtime dependencies beyond Python itself, making it lightweight to install on supported platforms. It is designed for developers working with LiDAR datasets who need to compress or decompress LAS files programmatically. The aging maintenance status (last release 226 days ago, 4 repository stars) suggests it is a specialized tool with a small user base, likely maintained primarily for laspy's needs rather than as a standalone product.

Use it for

  • Compress LAS point cloud files to reduce storage and transmission bandwidth in LiDAR workflows
  • Decompress LASzip-encoded LAS files for analysis or visualization in Python
  • Integrate LASzip compression into laspy-based data pipelines for geospatial or surveying applications
  • Automate batch processing of LiDAR datasets with compression as part of a data ingestion pipeline

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are using laspy and need LASzip compression support.

The package is permissively licensed, has no runtime dependencies, and offers pre-built wheels for modern Python versions. However, the aging maintenance status (226 days since release, minimal repository activity) means you should verify that it still meets your compression needs and check whether laspy's own integration is sufficient before adopting it as a standalone tool.

Install

laszip on PyPI

Before you install

Medium install friction due to compiled C++ bindings; wheels are available for multiple Python versions on macOS, Linux, and Windows, but building from source requires pybind11 and CMake. The package is aging (226 days since last release) with minimal maintenance activity (4 repository stars).

Requires Python >=3.9; building from source requires pybind11 and CMake to be installed and properly configured.

License in practice

MIT License permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package provided you retain the copyright notice and license text.

Quickstart

pip install laszip

import laszip
# Use laszip bindings to compress/decompress LAS data via laspy integration

Verify before relying

  • Whether laszip can be used standalone or only through laspy integration
  • Specific compression/decompression APIs available in the bindings
  • Performance characteristics compared to other LAS compression approaches
  • Whether the package is actively maintained or in maintenance-only mode

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.9
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceAging 226 days since the last release
Last repo commit
First released
Downloads139,972 / month, #11,282 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: laszip-0.3.0-cp310-cp310-macosx_11_0_arm64.whl; laszip-0.3.0-cp310-cp310-macosx_11_0_x86_64.whl; laszip-0.3.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; laszip-0.3.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; laszip-0.3.0-cp310-cp310-musllinux_1_2_aarch64.whl; laszip-0.3.0-cp310-cp310-musllinux_1_2_x86_64.whl; laszip-0.3.0-cp310-cp310-win_amd64.whl; laszip-0.3.0-cp311-cp311-macosx_11_0_arm64.whl; laszip-0.3.0-cp311-cp311-macosx_11_0_x86_64.whl; laszip-0.3.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; laszip-0.3.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; laszip-0.3.0-cp311-cp311-musllinux_1_2_aarch64.whl; laszip-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl; laszip-0.3.0-cp311-cp311-win_amd64.whl; laszip-0.3.0-cp312-cp312-macosx_11_0_arm64.whl; laszip-0.3.0-cp312-cp312-macosx_11_0_x86_64.whl; laszip-0.3.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl; laszip-0.3.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl; laszip-0.3.0-cp312-cp312-musllinux_1_2_aarch64.whl; laszip-0.3.0-cp312-cp312-musllinux_1_2_x86_64.whl

Tags

Capabilities
LAS point cloud compressionLASzip python bindingslidar data compressioncompressed LAS file handlingpoint cloud I/OLASzip wrapperlidar file format
Topics
lidargeospatialcompression

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “LAS point cloud compression”

  • laszipProvides Python bindings to LASzip, a compression library for LAS…
  • laspyLaspy reads, modifies, and writes LAS and LAZ LiDAR point cloud…
  • DracoPyDracoPy is a Python wrapper for Google's Draco mesh compression…

Give your agent the search over MCP, or paste the wish link into any chat.

More Information Analysis packages

regex Worth it
PyPI · Python Modules · released Jul 2026

A drop-in replacement for Python's standard `re` module that adds advanced regex features like nested sets, fuzzy matching, lookaround in conditionals, and full Unicode case-folding while maintaining backward compatibility.

Apache-2.0 AND CNRI-Pythoncompiled wheel · 3.10+
437.7Mdownloads / mo
pyarrow Worth it
PyPI · Information Analysis · released Aug 2026

pyarrow provides Python bindings to Apache Arrow's C++ libraries for efficient columnar data processing, serialization, and interoperability with pandas, NumPy, and other Python ecosystem tools.

Apache-2.0compiled wheel · 3.10+
432.9Mdownloads / mo
networkx Worth it
PyPI · Python Modules · released Dec 2025

NetworkX provides data structures and algorithms for creating, analyzing, and manipulating graphs and networks, supporting everything from simple undirected graphs to complex directed and weighted networks.

BSD-3-Clausepure Python
290.9Mdownloads / mo
snowflake-connector-python Worth it
PyPI · Software Development · released Aug 2026

Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.

Apache-2.0compiled wheel · 3.10+
193.6Mdownloads / mo
contourpy Worth it
PyPI · Information Analysis · released Jul 2025

ContourPy calculates contours of 2D quadrilateral grids using C++11 algorithms wrapped in Python, offering serial and multithreaded implementations without requiring Matplotlib as a dependency.

BSD-3-Clausecompiled wheel · 3.11+
191.2Mdownloads / mo
snowflake-snowpark-python Worth it
PyPI · Software Development · released Jul 2026

Snowpark Python provides APIs to query and process data directly in Snowflake without moving data to your local system, with support for both native Snowpark and pandas-compatible interfaces.

Install it if you use Snowflake and want to process data without moving it to your application layer.

Apache-2.0pure Python
100.7Mdownloads / mo

See also laspy · lasio · brotli · lzstring · pylzss · compressed-rtf · compress-pickle · xpress8 · cramjam · python-neo-lzf