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Coveralls for Python

Test Status:https://img.shields.io/circleci/project/github/TheKevJames/coveralls-python/master.svg?style=flat-square&label=CircleCIhttps://img.shields.io/github/actions/workflow/status/TheKevJames/coveralls-python/test.yml?branch=master&style=flat-square&label=Github%20Actionshttps://img.shields.io/coveralls/TheKevJames/coveralls-python/master.svg?style=flat-square&label=Coveragehttps://img.shields.io/readthedocs/coveralls-python?style=flat-square&label=Docs
Version Info:https://img.shields.io/pypi/v/coveralls.svg?style=flat-square&label=PyPIhttps://img.shields.io/conda/v/conda-forge/coveralls?style=flat-square&label=Condahttps://img.shields.io/docker/v/thekevjames/coveralls?sort=semver&style=flat-square&label=Dockerhubhttps://img.shields.io/docker/v/thekevjames/coveralls?sort=semver&style=flat-square&label=Quay
Compatibility:https://img.shields.io/pypi/pyversions/coveralls.svg?style=flat-square&label=Python%20Versionshttps://img.shields.io/pypi/implementation/coveralls.svg?style=flat-square&label=Python%20Implementations
Downloads:https://img.shields.io/pypi/dm/coveralls.svg?style=flat-square&label=PyPIhttps://img.shields.io/conda/dn/conda-forge/coveralls?style=flat-square&label=Condahttps://img.shields.io/docker/pulls/thekevjames/coveralls?style=flat-square&label=Dockerhub

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 -m pytest tests/ coveralls 

For more information and usage instructions, see our documentation.

Version Compatibility

As of version 2.0, we have dropped support for end-of-life'd versions of Python and particularly old versions of coverage. Support for non-EOL'd environments is provided on a best-effort basis and will generally be removed once they make maintenance too difficult.

If you're running on an outdated environment with a new enough package manager to support version checks (see the PyPA docs), then installing the latest compatible version should do the trick automatically! If you're even more outdated than that, please pin to coveralls<2.

If you're in an outdated environment and experiencing an issue, you're welcome to open a ticket -- but please mention your environment! I'm willing to backport fixes to the 1.x branch if the need is great enough.

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