Reverse Dependencies of lalsuite

The following projects have a declared dependency on lalsuite:

• asimov-cogwheel — An asimov interface to the cogwheel parameter estimation code.
• bagofchips — All that and a bag of
• bilby — A user-friendly Bayesian inference library
• bilby-tgr — Testing GR analysis pipelines to use with Bilby
• CAGMon — Correlation Analysis based on Glitch Monitoring
• cogwheel-pe — Parameter estimation of gravitational wave sources
• cows3 — Continuous-wave search sensitivity simulator
• 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
• echoes-waveform-models — A library of GW echoes waveform models
• elk-waveform — A Python package for managing and interacting with gravitational waveform catalogues.
• fasttracks — A massively-parallel engine for generic CW detection statistics.
• gw-astrology — Gravitational Wave Astrology
• gw-chirpy — no summary
• gw-eccentricity — Defining eccentricity for gravitational wave astronomy.
• gw-prim — no summary
• 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.
• heron-model — Heron is a toolkit for making machine learning-based gravitational waveform models in python.
• igwn-ligolw — Python LIGO Light-Weight XML I/O Library
• 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 — A package to make generating gravitational waveforms easier.
• mock-event-generator — Re-create gravitational wave pipeline events by time-shifting existing ones.
• nessai — Nessai: Nested Sampling with Artificial Intelligence
• nessai-gw — Gravitational-wave reparameterisations and proposals for nessai
• 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 in gravitational-wave data.
• sgn-ligo — LIGO Extensions for the SGN Framework
• sgnl — Inspiral Search Pipeline using SGN Framework
• 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