Reverse Dependencies of lalsuite

The following projects have a declared dependency on lalsuite:

• bilby — A user-friendly Bayesian inference library
• bilby-tgr — Testing GR analysis pipelines to use with Bilby
• CAGMon — Correlation Analysis based on Glitch Monitoring
• cwinpy — A Python module for Bayesian inferences with continuous gravitational-wave sources
• dingo-gw — Deep inference for gravitational-wave observations
• dqsegdb — Client library for DQSegDB
• elk-waveform — A Python package for managing and interacting with gravitational waveform catalogues.
• figaro — FIGARO: Fast Inference for GW Astronomy, Research & Observations
• gw-astrology — Gravitational Wave Astrology
• gw-chirpy — no summary
• gw-eccentricity — Defining eccentricity for gravitational wave astronomy.
• gwbench — A Python package for gravitational-wave benchmarking, particularly with Fisher information matrices.
• gwcelery — Low-latency pipeline for annotating IGWN events
• gwcosmo — A package to estimate cosmological parameters using gravitational-wave observations
• gwdama — A GW data manager package and more
• gwdetchar — A python package for gravitational-wave detector characterisation
• gwent — Gravitational Wave Detector Design Toolkit.
• gwmemoritz — no summary
• gwpy — A python package for gravitational-wave astrophysics
• gwsumm — A python toolbox used by the LIGO Scientific Collaboration for detector characterisation
• GWXtreme — Tools for inferences on extreme matter using gravitational wave parameter estimation data.
• inspiral-range — GW detector inspiral range calculation tools
• ligo.em-bright — Possibility and properties of Electromagnetically-bright sources of gravitational-wave events
• ligo-raven — Low-latency coincidence search between external triggers and GW candidates
• ligo.skymap — Tools for reading, writing, manipulating, and making LIGO and Virgo sky maps
• lscsoft-glue — no summary
• millilensing — Millilensing
• minke — Minke is a Python package to produce Mock Data Challenge data sets for LIGO interferometers.
• mock-event-generator — Re-create gravitational wave pipeline events by time-shifting existing ones.
• nessai — Nessai: Nested Sampling with Artificial Intelligence
• nuztf — Package for multi-messenger correlation searches with ZTF
• p-astro — Low-latency classification of GW triggers from compact binary coalescence
• pe-configurator — Tools to identify waveform settings and prior bounds for gravitational wave parameter estimation.
• pesummary — Python package to produce summary pages for Parameter estimation codes
• PyCBC — Core library to analyze gravitational-wave data, find signals, and study their parameters.
• pyDischarge — A python package for gravitational-wave astrophysics
• PyFstat — a python package for gravitational wave analysis with the F-statistic
• pygwb — Lighweight python stochastic gravitational-wave background analysis pipeline
• rapid-pe — RapidPE: The original low-latency gravitational wave parameter estimation code.
• rapidpe-rift-pipe — Pipeline for running RapidPE and RIFT parameter estimation codes
• read-rapidpe — Read and analyse results generated by rapidpe-rift-pipe
• ringdown — Bayesian analysis of black hole ringdowns.
• spiir — A Python library for the SPIIR gravitational wave science pipeline.
• spiir-p-astro — Low-latency classification of GW triggers from compact binary coalescence
• surfinBH — Surrogate Final BH properties.
• varaha — A Fast Non-Markovian Parameter Sampler for Coalescing Compact Binaries
• vitamin-b — A user-friendly machine learning Bayesian inference library
• waveformtools — Tools for working with numerical relativity and waveforms data