Codecov vs Coverage.py
Codecov
about.codecov.ioCoverage.py
coverage.readthedocs.ioSide by side
| Figure | Codecov | Coverage.py |
|---|---|---|
| Price from | $5/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | Yes |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 2 |
| Spec score · Test Coverage Tools | 9.4 (#1) | 8.9 (#2) |
| 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. |
| Support | The site lists Pro Support and Enterprise Support, and the pricing comparison includes email support among plan features. | Users can seek help on the Python discussion forums or Python Discord, report bugs on GitHub, and obtain professional support through Tidelift Subscription. |
| What it does | Codecov measures code coverage and delivers coverage insights in code review and CI workflows. | Coverage.py traces Python execution and identifies executable source lines that tests did not run. |
Plans
In their own words
Codecov
Codecov provides code coverage reporting and development insights, with tools for test analytics, JavaScript bundle monitoring and pull-request checks. It reports line, branch, project and patch coverage in XML, JSON and TXT formats. Pull-request annotations and coverage gates help teams review changes; Status Checks can block a merge when coverage is underperforming. Historical trends show coverage over time. Test Analytics reports failures and detects flaky tests, while Bundle Analysis flags oversized JavaScript bundles in pull requests and tracks bundle-size changes. The homepage also describes AI features for generating unit tests and reviewing pull requests. Developers can use a command-line interface or VS Code extension for coverage information and visualization. Integrations include GitHub, GitLab, Bitbucket, CI platforms and Slack. Codecov lists a broad range of supported languages, including C#, Go, Python, JavaScript, Rust and Swift. It is available through web, API, extension and self-hosted options. The free Developer plan has upload limits for private repositories; paid plans start at $5/user/mo, and a 14-day trial is available.
Coverage.py
Coverage.py measures which parts of Python programs run and highlights executable code that remains untouched, helping developers assess what their tests exercise. It measures statement coverage by default and can also track branch coverage. Reports are available as text, HTML, XML, LCOV, and JSON. Dynamic contexts can associate lines of execution with the test function that ran them. Coverage.py can run test suites through their usual command; pytest-cov is available but the documentation says most users do not need it. Third-party plugins can extend measurement to non-Python files, such as connecting executed Python to Django templates. Data is stored in a SQLite database, and advanced use can rely on its API. The current documentation lists Python 3.10 through 3.15 rc2 and PyPy3 versions 3.10 and 3.11. The tool provides ctrace, pytrace, and sysmon measurement cores; sysmon is faster for simple line and branch coverage but lacks support for dynamic contexts and plugins. Coverage.py is licensed under Apache 2.0 and runs on Linux, macOS, and Windows, with self-hosting available. It is free.