Pycbc
Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
Install / Use
/learn @gwastro/PycbcREADME

PyCBC is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms to analyze gravitational-wave data, detect coalescing compact binaries, and make bayesian inferences from gravitational-wave data. PyCBC was used in the first direct detection of gravitational waves and is used in flagship analyses of LIGO and Virgo data.
PyCBC is collaboratively developed by the community and is lead by a team of GW astronomers with the aim to build accessible tools for gravitational-wave data analysis.
The PyCBC home page is located on github at
- https://pycbc.org/
Documentation is automatically built from the latest master version
- https://pycbc.org/pycbc/latest/html/
For the detailed installation instructions of PyCBC
- https://pycbc.org/pycbc/latest/html/install.html
Want to get going using PyCBC?
- Try out our tutorials. No software installation required and these can run entirely from the browser.
Quick Installation
pip install pycbc
To test the code on your machine
pip install pytest "tox<4.0.0"
tox
If you use any code from PyCBC in a scientific publication, then please see our citation guidelines for more details on how to cite pycbc algorithms and programs.
For the citation of the pycbc library, please use a bibtex entry and DOI for the
appropriate release of the PyCBC software (or the latest available release).
A bibtex key and DOI for each release is avaliable from Zenodo.
Related Skills
node-connect
343.1kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
claude-opus-4-5-migration
90.0kMigrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5
frontend-design
90.0kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
model-usage
343.1kUse CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
