{"library":"ddt","type":"library","category":null,"description":"ddt (Data-Driven Tests) is a Python library that enables data-driven testing by decorating test methods with various data sources. It allows multiplying one `unittest.TestCase` method into multiple test cases, each run with different data, enhancing test efficiency and readability. The current version is 1.7.2, and it maintains an active release cadence with regular updates.","language":"python","status":"active","version":"1.7.2","tags":["testing","unittest","data-driven","decorators"],"last_verified":"Thu May 21","install":[{"cmd":"pip install ddt","imports":["from ddt import ddt","from ddt import data","from ddt import unpack","from ddt import file_data","from ddt import named_data"]}],"homepage":null,"github":"https://github.com/datadriventests/ddt","docs":null,"changelog":null,"pypi":"https://pypi.org/project/ddt/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.5,"avg_import_s":0.03,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/ddt/compatibility"}}