BAyesian Model-Building Interface in Python
Bambi is a high-level Bayesian model-building interface written in Python. It's built on top of the PyMC3 probabilistic programming framework, and is designed to make it extremely easy to fit mixed-effects models common in social sciences settings using a Bayesian approach.
Bambi requires a working Python interpreter (3.7+). We recommend installing Python and key numerical libraries using the Anaconda Distribution, which has one-click installers available on all major platforms.
Assuming a standard Python environment is installed on your machine (including pip), Bambi itself can be installed in one line using pip:
pip install bambi
Alternatively, if you want the bleeding edge version of the package you can install from GitHub:
pip install git+https://github.com/bambinos/bambi.git
Bambi requires working versions of numpy, pandas, matplotlib, patsy, pymc3, and theano. Dependencies are listed in
requirements.txt, and should all be installed by the Bambi installer; no further action should be required.
The Bambi documentation can be found in the official docs
Bambi is a community project and welcomes contributions. Additional information can be found in the Contributing Readme.
For a list of contributors see the GitHub contributor page
Code of Conduct
Bambi wishes to maintain a positive community. Additional details can be found in the Code of Conduct