A/B tests (a.k.a. Randomized Controlled Trials or Experiments) have been widely applied in different industries to optimize business processes and user experience. ExpAn (Experiment Analysis) is a Python library developed for the statistical analysis of such experiments and to standardise the data structures used.
The data structures and functionality of ExpAn are generic such that they can be used by both data scientists optimizing a user interface and biologists running wet-lab experiments. The library is also standalone and can be imported and used from within other projects and from the command line.
The latest stable version is 1.4.0. Please check out our tutorial and documentation.
To install ExpAn, run this command in your terminal:
$ pip install expanThe sources for ExpAn can be downloaded from the Github repo.
You can either clone the public repository:
$ git clone git://github.com/zalando/expanOr download the tarball:
$ curl -OL https://github.com/zalando/expan/tarball/masterOnce you have a copy of the source, you can install it with:
$ python setup.py installThe MIT License (MIT)
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