Metadata-Version: 2.1
Name: babbab
Version: 0.1.1
Summary: BAyesian Beta-Binomial AB testing (BABBAB), is an implementation of the Beta-Binomial model with some fancy visualizations on top of Pymc
Author-email: Juan González-Vallinas <juan@multilayer.io>
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: pandas==1.4.3
Requires-Dist: pymc==4.1.2
Requires-Dist: flit==3.7.1
Requires-Dist: pytest==6.2.5 ; extra == "test"
Requires-Dist: jupyter==1.0.0 ; extra == "test"
Requires-Dist: jupyterlab==3.1.14 ; extra == "test"
Requires-Dist: black==21.9b0 ; extra == "test"
Requires-Dist: flake8==3.9.2 ; extra == "test"
Requires-Dist: isort==5.9.3 ; extra == "test"
Requires-Dist: pytest==6.2.5 ; extra == "test"
Project-URL: Home, https://github.com/multilayer-io/babbab
Provides-Extra: test

# babbab
Bayesian Beta-Binomial AB testing library

