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A user-friendly Bayesian inference library. Fulfilling all your Bayesian dreams.
Online material to help you get started:
Installation instructions <https://bilby-dev.github.io/bilby/installation.html>__Documentation <https://bilby-dev.github.io/bilby/>__If you need help, find an issue, or just have a question/suggestion you can
Slack workspace <https://bilby-code.slack.com/>__ via this invite link <https://join.slack.com/t/bilby-code/shared_invite/zt-2s5a0jy1g-xB7uIy1fGGxW0CkBwwTbWQp>__StackOverflow <https://stackoverflow.com/questions/tagged/bilby>__ using the bilby tagthe issue tracker <https://github.com/bilby-dev/bilby/issues>__#bilby-help <https://chat.ligo.org/ligo/channels/bilby-help>__ or #bilby-devel <https://chat.ligo.org/ligo/channels/bilby-devel>__ channelsa confidential issue on bilby_pipe <https://github.com/bilby-dev/bilby_pipe/-/issues/new>__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 <https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request>__ or contact
us directly. For advice on contributing, see the contributing guide <https://github.com/bilby-dev/bilby/blob/main/CONTRIBUTING.md>__.
Please refer to the Acknowledging/citing bilby guide <https://bilby-dev.github.io/bilby/citing-bilby.html>__.
.. |pipeline status| image:: https://github.com/bilby-dev/bilby/actions/workflows/unit-tests.yml/badge.svg :target: https://github.com/bilby-dev/bilby/commits/master .. |coverage report| image:: https://github.com/bilby-dev/bilby/badges/master/coverage.svg :target: https://lscsoft.docs.ligo.org/bilby/htmlcov/ .. |pypi| image:: https://badge.fury.io/py/bilby.svg :target: https://pypi.org/project/bilby/ .. |conda| image:: https://img.shields.io/conda/vn/conda-forge/bilby.svg :target: https://anaconda.org/conda-forge/bilby .. |version| image:: https://img.shields.io/pypi/pyversions/bilby.svg :target: https://pypi.org/project/bilby/
FAQs
A user-friendly Bayesian inference library
We found that bilby demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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