{"categories":[{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"},{"label":"Astronomy","url":"https://skillfed.io/packages/category/scientific-engineering-astronomy"}],"enrichment":{"capability":"LSCSoft-GLUE provides utilities and grid access tools for running data analysis pipelines in gravitational-wave physics research, supporting both online and offline analysis workflows.","skillfed_tags":["gravitational-wave","grid-computing","ligo-data"],"use_cases":["Construct and submit gravitational-wave data analysis pipelines to grid computing clusters.","Access and manage time-segment metadata for LIGO detector data in offline analysis workflows.","Automate batch processing of large physics datasets across distributed computing infrastructure.","Integrate grid job submission and monitoring into custom Python analysis scripts.","Manage online real-time data analysis pipelines for detector monitoring or alert generation."],"what_it_does":"LSCSoft-GLUE is a toolkit built for the LIGO Scientific Collaboration to support gravitational-wave data analysis. It bundles utilities for constructing and running analysis pipelines\u2014both real-time online processing and batch offline analysis\u2014along with interfaces to grid computing resources commonly used in physics research. The package is stable (Production/Stable classifier) and supports Python 3.6 through 3.13.\n\nThe package is designed for researchers and engineers working with LIGO data or similar large-scale physics experiments. It abstracts away grid submission, data access, and pipeline orchestration details so that analysts can focus on the science. Its single runtime dependency (igwn-segments) keeps the installation lightweight. The copyleft GPL-2.0-or-later license means any modifications or redistributions must remain open-source.","worth_installing":"Yes, if you are working with LIGO data or gravitational-wave physics research and need grid pipeline infrastructure. The low install friction, broad Python version support, and stable classifier make it straightforward to adopt. However, the aging maintenance status (last release 392 days ago) means you should verify that it still meets your current grid infrastructure and Python environment before committing to a production workflow."},"id":"lscsoft-glue","links":{"html":"https://skillfed.io/packages/lscsoft-glue","md":"https://skillfed.io/packages/lscsoft-glue.md","pypi":"https://pypi.org/project/lscsoft-glue/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-07-18","license_spdx":null,"license_treatment":"copyleft","name":"lscsoft-glue","python_support":"supports_current","summary":"LSCSoft-GLUE is a collection of utilities for running data analysis pipelines for online and offline analysis as well as accessing various grid utilities."},"popularity":{"monthly_downloads":88406,"position":13731,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"4.1.1"}