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Coveralls for Python

Test Status:https://img.shields.io/circleci/project/github/coveralls-clients/coveralls-python/master.svg?style=flat-square&label=CircleCI https://img.shields.io/travis/coveralls-clients/coveralls-python/master.svg?style=flat-square&label=TravisCI https://img.shields.io/github/workflow/status/coveralls-clients/coveralls-python/coveralls/master?style=flat-square&label=Github%20Actions https://img.shields.io/coveralls/coveralls-clients/coveralls-python/master.svg?style=flat-square&label=Coverage
Version Info:https://img.shields.io/conda/v/conda-forge/coveralls?style=flat-square&label=Conda https://img.shields.io/pypi/v/coveralls.svg?style=flat-square&label=PyPI https://img.shields.io/conda/dn/conda-forge/coveralls?label=Conda%20Downloads&style=flat-square https://img.shields.io/pypi/dm/coveralls.svg?style=flat-square&label=PyPI%20Downloads
Compatibility:https://img.shields.io/pypi/pyversions/coveralls.svg?style=flat-square&label=Python%20Versions https://img.shields.io/pypi/implementation/coveralls.svg?style=flat-square&label=Python%20Implementations

coveralls.io is a service for publishing your coverage stats online. This package provides seamless integration with coverage.py (and thus pytest, nosetests, etc...) in your Python projects:

pip install coveralls
coverage run --source=mypkg setup.py test
coveralls

For more information and usage instructions, see our documentation.

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