![Run Tests](https://github.com/datadriventests/ddt/workflows/Run%20Tests/badge.svg?branch=master)
[![codecov.io](https://codecov.io/github/datadriventests/ddt/coverage.svg?branch=master)](https://codecov.io/github/datadriventests/ddt)
<br />
[![Version](https://img.shields.io/pypi/v/ddt.svg)](https://pypi.python.org/pypi/ddt)
[![Downloads](https://img.shields.io/pypi/dm/ddt.svg)](https://pypi.python.org/pypi/ddt)

DDT (Data-Driven Tests) allows you to multiply one test case
by running it with different test data, and make it appear as
multiple test cases.

# Installation


```pip install ddt```

Check out [the documentation](http://ddt.readthedocs.org/) for more details.

See [Contributing](CONTRIBUTING.md) if you plan to contribute to `ddt`,
and [License](LICENSE.md) if you plan to use it.
