Bambi is a high-level Bayesian model-building interface written in Python. It works with the PyMC probabilistic programming framework. Bambi provides an interface to build and solve Bayesian generalized (non-)linear multivariate multilevel models.

Bambi is an open source project, developed by the community and is an affiliated project of NumFOCUS.

Etymology Bambi is an acronym for BAyesian Model-Building Interface.

Library features Model specification using a Wilkison-like formula style Bayesian inference using MCMC and Variational Inference methods Interface with ArviZ, as Bambi returns an object Model interpretation via conditional adjusted comparisons, predictions, and slopes A wide array of response families Default priors that the users can modify if needed

See also

Stan, a probabilistic programming language for statistical inference written in C++

References

External links