https://github.com/datadriventests/ddt

Data-Driven Tests for Python Unittest
https://github.com/datadriventests/ddt

Last synced: 6 months ago
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Data-Driven Tests for Python Unittest

• Host: GitHub
• URL: https://github.com/datadriventests/ddt
• Owner: datadriventests
• License: mit
• Created: 2012-02-11T22:57:10.000Z (about 13 years ago)
• Default Branch: master
• Last Pushed: 2024-07-16T13:08:32.000Z (10 months ago)
• Last Synced: 2024-10-29T21:10:55.488Z (6 months ago)
• Language: Python
• Homepage: http://ddt.readthedocs.org/
• Size: 196 KB
• Stars: 440
• Watchers: 21
• Forks: 112
• Open Issues: 13
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.md

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README

        
![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)




[![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.