dttlib
Advanced LIGO core library for online and offline frequency-domain diagnostics tool.
Decision gist · record as of 2026-08-14
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—verify licensing compatibility before use in restricted contexts.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires system C libraries: libcds, libgds-sigp, libfftw3, libglib-2.0, libstdc++, libsasl2, libz, libexpat.
- Python >=3.9 required.
- Medium install friction due to compiled C dependencies (libcds, libgds-sigp, libfftw3, libglib-2.0, libstdc++, libsasl2, libz, libexpat) that must be available on the system.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify licensing terms before use in proprietary or commercial contexts.
last release 2026-08-03 (11 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 120,251 downloads/mo, #12,040 on PyPI
Alternatives
Verify before relying
pip install dttlib
import dttlib
# Use dttlib for LIGO frequency-domain diagnostics- Specific API surface and available functions for frequency-domain analysis beyond FFT and swept-sine
- Whether diaggui integration is a separate tool or included in dttlib
- Performance characteristics and typical data volume handling
- Community adoption and usage patterns within LIGO collaboration
What it is and 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.
The 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.
Use it for
- 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
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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—verify licensing compatibility before use in restricted contexts.
Install
dttlib on PyPI
Before you install
Medium install friction due to compiled C dependencies (libcds, libgds-sigp, libfftw3, libglib-2.0, libstdc++, libsasl2, libz, libexpat) that must be available on the system. Package is actively maintained with recent releases.
Requires system C libraries: libcds, libgds-sigp, libfftw3, libglib-2.0, libstdc++, libsasl2, libz, libexpat. Python >=3.9 required.
License in practice
License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify licensing terms before use in proprietary or commercial contexts.
Quickstart
pip install dttlib
import dttlib
# Use dttlib for LIGO frequency-domain diagnosticsVerify before relying
- Specific API surface and available functions for frequency-domain analysis beyond FFT and swept-sine
- Whether diaggui integration is a separate tool or included in dttlib
- Performance characteristics and typical data volume handling
- Community adoption and usage patterns within LIGO collaboration
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 11 days since the last release |
| First released | |
| Downloads | 120,251 / month, #12,040 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dttlib-0.10.9-cp310-cp310-macosx_11_0_arm64.whl; dttlib-0.10.9-cp310-cp310-manylinux_2_31_x86_64.whl; dttlib-0.10.9-cp311-cp311-macosx_11_0_arm64.whl; dttlib-0.10.9-cp311-cp311-manylinux_2_31_x86_64.whl; dttlib-0.10.9-cp312-cp312-macosx_11_0_arm64.whl; dttlib-0.10.9-cp312-cp312-manylinux_2_31_x86_64.whl; dttlib-0.10.9-cp313-cp313-macosx_11_0_arm64.whl; dttlib-0.10.9-cp313-cp313-manylinux_2_31_x86_64.whl; dttlib-0.10.9-cp39-cp39-macosx_11_0_arm64.whl; dttlib-0.10.9-cp39-cp39-manylinux_2_31_x86_64.whl
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