Reverse Dependencies of gwpy

The following projects have a declared dependency on gwpy:

• asimov — A Python package for managing and interacting with data analysis jobs.
• bilby — A user-friendly Bayesian inference library
• bruco — Brute force coherence
• CAGMon — Correlation Analysis based on Glitch Monitoring
• cbcflow — A package for enabling CBC analyses
• cwinpy — A Python module for Bayesian inferences with continuous gravitational-wave sources
• dingo-gw — Deep inference for gravitational-wave observations
• gravityspy — no summary
• gwas-tools — Utils functions to build a pipeline for scattered light noise hunting in gravitational waves detectors.
• gwcelery — Low-latency pipeline for annotating IGWN events
• gwdama — A GW data manager package and more
• gwdetchar — A python package for gravitational-wave detector characterisation
• gwsnr — Fast SNR interpolator
• gwsumm — A python toolbox used by the LIGO Scientific Collaboration for detector characterisation
• gwvet — An extension to the python toolbox GWSumm, used by the LIGO Scientific Collaboration to review data-quality vetoes
• hveto — A python implementation of the HierarchicalVeto (hveto) algorithm
• jimGW — Gravitatioanl wave data analysis tool in Jax
• ligo-asimov — A Python package for managing and interacting with data analysis jobs.
• mly — Toolkit package to run GW search using ML.
• oda-api — API plugin for CDCI online data analysis
• omicron-gap — Utilities to analyze and fill gaps in omicron triggers
• parallel-bilby — Running bilby on GW data with MPI
• pesummary — Python package to produce summary pages for Parameter estimation codes
• popstock — A lightweight package for fast evaluation of the stochastic GW energy density Omega_GW emitted by a population of binary black holes and/or neutron stars.
• pydarm — pyDARM modeling package for LIGO detector calibration
• pygwb — Lighweight python stochastic gravitational-wave background analysis pipeline
• pyomicron — Python utilities and wrappers for GW Omicron
• rapidpe-rift-pipe — Pipeline for running RapidPE and RIFT parameter estimation codes
• rul-pm — Remaining useful life estimation utilities
• spicypy — A python package for signal processing & control systems. Combining several tools to facilitate signal processing, control systems modelling, and the interface between the two.
• varaha — A Fast Non-Markovian Parameter Sampler for Coalescing Compact Binaries
• vitamin-b — A user-friendly machine learning Bayesian inference library