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Bilby

A user-friendly Bayesian inference library. Fulfilling all your Bayesian dreams.

Online material to help you get started:

If you need help, find an issue, or just have a question/suggestion you can

We encourage you to contribute to the development of bilby. This is done via pull request. For help in creating a pull request, see this page or contact us directly. For advice on contributing, see the contributing guide.

Citation guide

Please refer to the Acknowledging/citing bilby guide.

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A unified framework for stochastic sampling packages and gravitational-wave inference in Python.

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