{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"dttlib provides frequency-domain analysis tools for LIGO gravitational wave detector data, supporting FFT-based diagnostics and swept-sine measurements.","skillfed_tags":["ligo-data","signal-processing","physics"],"use_cases":["Perform real-time frequency-domain diagnostics on LIGO detector signals during observation runs","Analyze archived LIGO data offline using FFT-based methods for signal characterization","Conduct swept-sine measurements to characterize detector response across frequency bands","Integrate frequency-domain analysis into LIGO data pipelines and monitoring systems"],"what_it_does":"dttlib is a Python wrapper around LIGO's core diagnostic and analysis library, providing frequency-domain tools for processing gravitational wave detector signals. It integrates with LIGO's standard C libraries (libcds, libgds-sigp) and uses FFTW for fast Fourier transforms, enabling both online and offline analysis workflows. The package targets researchers and engineers working with LIGO data who need FFT-based diagnostics and swept-sine measurements.\n\nThe package has medium install friction because it depends on several system-level C libraries that must be pre-installed and available in the build environment. It supports Python 3.9 and later across macOS ARM64 and Linux x86_64 platforms via pre-built wheels. No runtime Python dependencies are declared, keeping the runtime footprint minimal once the C libraries are satisfied.","worth_installing":"Yes, if you work with LIGO data and have the required C libraries available. The package is actively maintained, has no known vulnerabilities, and fills a specialized role in gravitational wave data analysis. The main barrier is satisfying system C dependencies and the unclear license status\u2014verify licensing compatibility before use in restricted contexts."},"id":"dttlib","links":{"html":"https://skillfed.io/packages/dttlib","md":"https://skillfed.io/packages/dttlib.md","pypi":"https://pypi.org/project/dttlib/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-03","license_spdx":null,"license_treatment":"unclear","name":"dttlib","python_support":"supports_current","summary":"Advanced LIGO core library for online and offline frequency-domain diagnostics tool."},"popularity":{"monthly_downloads":120251,"position":12040,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.10.9"}