github.com/lscsoft/bilby ↗
A unified framework for stochastic sampling packages and gravitational-wave inference in Python.
An animated visualization of lscsoft/bilby's Git history from March 2018 to December 2020, built by 56 contributors. The codebase reached 6,238 lines, mostly Python. The video runs 1 minute 50 seconds.
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Language
Python
Contributors
56
Lines of Code
6,238
From
2018-03-27
To
2020-12-23
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About lscsoft/bilby
Bilby is a user-friendly Python library for Bayesian inference that provides a unified framework for stochastic sampling and gravitational-wave analysis. The library abstracts away the complexity of choosing and implementing different sampling algorithms, allowing researchers to focus on their scientific questions rather than the technical details of inference methods.
The project is designed with accessibility in mind, offering comprehensive documentation, installation guides, and multiple channels for user support including Slack, StackOverflow, and GitHub issues. Bilby integrates with the LIGO-Virgo-KAGRA collaboration's infrastructure, including chat.ligo.org and confidential issue tracking through related projects, making it particularly valuable for gravitational-wave physics research and related Bayesian inference problems.
The library is actively maintained with continuous integration testing, high code coverage standards, and is available through both PyPI and Conda package managers. Bilby welcomes community contributions and provides resources to help developers get involved in extending and improving the framework.
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