{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/5"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"},{"label":"Filesystems","url":"https://skillfed.io/packages/category/system-filesystems"}],"enrichment":{"capability":"Read and write Log ASCII Standard (LAS) files used for borehole geophysical, geological, and petrophysical logging data, supporting LAS versions 1.2 and 2.0.","skillfed_tags":["geophysics","well-logging","file-io"],"use_cases":["Import borehole geophysical log data from LAS files into numpy arrays for numerical analysis and visualization.","Parse well logging metadata (depths, units, curve descriptions) from LAS headers for data cataloging and validation.","Convert LAS files to pandas DataFrames or export to Excel for spreadsheet-based workflows.","Build LAS files programmatically from well data and write them back to disk in compliant format.","Handle non-standard or malformed LAS files that strict parsers may reject."],"what_it_does":"lasio is a Python library that reads and writes Log ASCII Standard (LAS) files, a format used to store borehole data such as geophysical, geological, and petrophysical logs. It implements support for LAS versions 1.2 and 2.0 as published by the Canadian Well Logging Society and is designed to handle real-world LAS files that may contain common errors and non-compliant formatting. The package exposes data both as raw numpy arrays and as CurveItem objects with associated metadata (units, descriptions, mnemonics), and provides access to header sections (version, well information, parameters) as HeaderItem objects.\n\nThe library is primarily for I/O operations\u2014reading LAS files from disk, file-like objects, or URLs, and writing them back. It does not provide higher-level curve analysis or well project management; the documentation explicitly recommends considering welly for broader well-data workflows. lasio stopped supporting Python 2.7 in August 2020 and currently requires Python 3.9 or later with numpy as its sole required dependency.","worth_installing":"Yes, if you work with LAS well-log data. The package is stable, permissively licensed, has low install friction, and carries no known vulnerabilities. The aging maintenance status (378 days since last release) is a minor concern for a mature I/O library but worth monitoring if you depend on active development. Consider welly if you need higher-level well-data abstractions beyond reading and writing."},"id":"lasio","links":{"html":"https://skillfed.io/packages/lasio","md":"https://skillfed.io/packages/lasio.md","pypi":"https://pypi.org/project/lasio/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-08-01","license_spdx":null,"license_treatment":"permissive","name":"lasio","python_support":"supports_current","summary":"Read/write well data from Log ASCII Standard (LAS) files"},"popularity":{"monthly_downloads":291039,"position":7975,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.32"}