AmbrosiaΒΆ
Ambrosia is a Python library for A/B tests design, split and effect measurement. It provides rich set of methods for conducting full A/B testing pipeline.
The project is intended for use in research and production environments based on data in pandas and Spark format.
Key functionalityΒΆ
Pilots design π«
Multi-group split π³
Matching of new control group to the existing pilot π
Experiments result evaluation as p-value, point estimate of effect and confidence interval π
Data preprocessing βοΈ
Experiments acceleration π’