Codecov
8.0#1 in test coverage toolsFrom $5 a monthFree planWebAPIExtensionLinux
VisitCodecov vs Coverage.py
Coverage.py
7.3#3 in test coverage toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitWhat both publish
| Fact | Codecov | Coverage.py |
|---|---|---|
| Integrations | Supported code hosts include GitHub, GitHub Enterprise, GitLab, GitLab CE/EE, Bitbucket, and Bitbucket Server. | Official examples cover pytest, unittest, and nose, and pytest commonly uses the pytest-cov plugin. |
| License | The gazebo server component uses the Functional Source License 1.1 with an Apache 2.0 license granted after two years, while the Codecov GitHub Action repository is MIT licensed. | Coverage.py is licensed under the Apache 2.0 License. |
| Purpose | Codecov provides code coverage reporting and insights to help teams improve code quality throughout development. | Coverage.py measures which parts of Python programs ran and identifies executable code that did not run, commonly to gauge test effectiveness. |
| Self-hosting | Self-hosted Codecov is configurable with YAML or environment variables and the documentation says it requires a license technically but does not require purchasing one from Codecov. | Independent coverage reviews describe it as a local or self-hosted tool rather than a hosted coverage service. |
Codecov plans
- DeveloperFree
- Team$5 a month
- Pro$12 a month
- EnterprisePriced on request
Coverage.py plans
- Coverage.pyFree
- FreeFree
Pick Codecov if…
Codecov suits development teams that want coverage reports, pull-request checks, and test or bundle analysis in their workflow. It also fits teams seeking a self-hosted option or integrations with code hosts and CI platforms.
Pick Coverage.py if…
Coverage.py is for developers measuring how much of their Python code their tests exercise. Its report formats and dynamic contexts can help teams inspect coverage in different ways.