44 dependents
| Package | Description | Downloads/month |
|---|---|---|
| RapidPE: The original low-latency gravitational wave parameter estimation code. | 106K | |
| Automating the running of bilby for gravitational wave signals | 10K | |
| Low-latency pipeline for annotating IGWN events | 6K | |
| CPU/GPU agnostic gravitational-wave population inference | 4K | |
| Dingo: Deep inference for gravitational-wave observations | 4K | |
| A software package for end-to-end modelling, fitting, and interpretation of elec... | 2K | |
| Accelerated Multi-messenger PE with Likelihood Free Inference | 2K | |
| A Python package for calculating gravitational wave signal-to-noise ratios | 2K | |
| A nuclear physics multi-messenger Bayesian inference library | 1K | |
| Tools to identify waveform settings and prior bounds for gravitational wave para... | 764 | |
| A Python package for generating Mock Data Challenge datasets for the gravitation... | 717 | |
| Deep learning framework for reconstructing gravitational wave signals and glitch... | 692 | |
| A mini versions of RM-Tools | 687 | |
| A Python module for Bayesian inference with continuous gravitational-wave source... | 663 | |
| Interface and plugin for using nessai in bilby | 652 | |
| A lightweight package for fast evaluation of the stochastic GW energy density Om... | 432 | |
| A pipeline population inference | 422 | |
| Testing GR analysis pipelines to use with Bilby | 406 | |
| Small jax-based python package for computing error in Monte Carlo approximate po... | 405 | |
| Lighweight python stochastic gravitational-wave background analysis pipeline | 391 | |
| 381 | ||
| Heron is a surrogate modelling toolkit for python, using Gaussian process regres... | 353 | |
| A python package for Bayesian model mixing | 345 | |
| Gravitational-wave astronomy in JAX | 340 | |
| Plugin for using cpnest with bilby. | 337 | |
| Plugin for using nestle with bilby. | 326 | |
| Plugin for using zeus with bilby. | 325 | |
| A Python package for simulating gravitational wave detector data for mock data c... | 322 | |
| A package to estimate cosmological parameters using gravitational-wave observati... | 311 | |
| Utils for the gap | 287 | |
| pocomc plugin for bilby | 211 | |
| Python package to extend the functionality of `bilby` to incorporate model accur... | 207 | |
| GW event posteriors obtained using numerical relativity surrogate models. | 175 | |
| Plotting utils | 153 | |
| SEmi-Analytical approach for sky Localization of Gravitational Waves | 147 | |
| An asimov interface to the cogwheel parameter estimation code. | 145 | |
| Random tools to assist in making pretty plots for PE, especially with bilby. | 143 | |
| Gravitational wave phase reconstruction for low-latency identification of strong... | 139 | |
| Python package to extend the functionality of `bilby` to perform Bayesian infere... | 136 | |
| Tools to help generate the detection rate matricies and the LnL from observed da... | 122 | |
| A package to perform gravitational wave data analysis combining the Whittle like... | 98 | |
| 92 | ||
| P-splines for spectral density estimation | 88 | |
| 80 |