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https://github.com/zalando/expan

Open-source Python library for statistical analysis of randomised control trials (A/B tests)
https://github.com/zalando/expan

ab-testing abtest abtesting causal-inference experimentation python statistical-analysis statistics

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Open-source Python library for statistical analysis of randomised control trials (A/B tests)

Host: GitHub
URL: https://github.com/zalando/expan
Owner: zalando
License: mit
Created: 2016-05-04T14:43:47.000Z (over 8 years ago)
Default Branch: master
Last Pushed: 2023-04-11T10:52:40.000Z (over 1 year ago)
Last Synced: 2024-10-02T17:17:54.460Z (3 months ago)
Topics: ab-testing, abtest, abtesting, causal-inference, experimentation, python, statistical-analysis, statistics
Language: Python
Homepage:
Size: 1.24 MB
Stars: 331
Watchers: 27
Forks: 50
Open Issues: 30
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.md
- Contributing: docs/contributing.rst
- License: LICENSE

Awesome Lists containing this project

README

        ==========================

ExpAn: Experiment Analysis

==========================

.. image:: https://img.shields.io/travis/zalando/expan.svg

        :target: https://travis-ci.org/zalando/expan

        :alt: Build status

.. image:: https://coveralls.io/repos/github/zalando/expan/badge.svg

        :target: https://coveralls.io/github/zalando/expan

        :alt: Code coverage

.. image:: https://img.shields.io/pypi/v/expan.svg

        :target: https://pypi.python.org/pypi/expan

        :alt: Latest PyPI version

.. image:: https://img.shields.io/pypi/status/expan.svg

        :target: https://pypi.python.org/pypi/expan

        :alt: Development Status

.. image:: https://img.shields.io/pypi/pyversions/expan.svg

        :target: https://pypi.python.org/pypi/expan

        :alt: Python Versions

.. image:: https://img.shields.io/pypi/l/expan.svg

        :target: https://pypi.python.org/pypi/expan/

        :alt: License

.. image:: https://readthedocs.org/projects/expan/badge/?version=latest

        :target: http://expan.readthedocs.io/en/latest/?badge=latest

        :alt: Documentation Status

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 (**Exp**\ eriment **An**\ alysis) 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.

Documentation

=============

The latest stable version is 1.4.0. Please check out our `tutorial and documentation `__.

Installation

============

Stable release

--------------

To install ExpAn, run this command in your terminal:

.. code-block:: console

    $ pip install expan

From sources

------------

The sources for ExpAn can be downloaded from the `Github repo`_.

You can either clone the public repository:

.. code-block:: console

    $ git clone git://github.com/zalando/expan

Or download the `tarball`_:

.. code-block:: console

    $ curl  -OL https://github.com/zalando/expan/tarball/master

Once you have a copy of the source, you can install it with:

.. code-block:: console

    $ python setup.py install

.. _Github repo: https://github.com/zalando/expan

.. _tarball: https://github.com/zalando/expan/tarball/master

License

=======

The MIT License (MIT)

Copyright © [2016] Zalando SE, https://tech.zalando.com

Permission is hereby granted, free of charge, to any person obtaining a

copy of this software and associated documentation files (the

“Software”), to deal in the Software without restriction, including

without limitation the rights to use, copy, modify, merge, publish,

distribute, sublicense, and/or sell copies of the Software, and to

permit persons to whom the Software is furnished to do so, subject to

the following conditions:

The above copyright notice and this permission notice shall be included

in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS

OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF

MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.

IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY

CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,

TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE

SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.