history_diagnostics is a pure-Python3 package to validate A/B tests.
The WWW 2016 DevDay tutorial and slides are available.
Only numpy and scipy are required. pandas is recommended to ease up I/O.
The versions shipped by/for your OS should suffice.
The quick and dirty way is to check out the repository
git clone https://github.com/sevenval/history-diagnostics
cd history-diagnostics
python3
>>> from history_diagnostics import targetspace
>>> # Do your work here
Optionally, you can install it, e.g. into a virtual environment
virtualenv -p python3 history-diagnostics-env
cd MyEnv
source bin/activate
git clone https://github.com/sevenval/history-diagnostics
cd history-diagnostics
pip install -r requirement.txt
python3 setup.py install
Now you can get started with the tutorial.