GW150914

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

Documentation is automatically built from the latest master version

For the detailed installation instructions of PyCBC

Want to get going using PyCBC?

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.

DOI Build Status PyPI version PyPI - Downloads Anaconda-Server Badge Anaconda-Server Badge astropy

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Key dates

PyPI data
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  • Released:
Newer release available (2.11.0)

4 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: The PyCBC team

License

GNU General Public License v3 (GPLv3)

Requires

Python >=3.7

Tags

ligo physics gravity signal processing gravitational waves

Classifiers

Report project as malware

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Source Distribution

PyCBC-2.4.0.tar.gz (3.5 MB view details)

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PyCBC-2.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.4 MB view details)

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Release history Release notifications | RSS feed

2.11.0

10 files

2.10.0

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2.9.0

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2.8.7

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