Coverage.py

7.1easy start · #5 of 26
in Test Coverage Tools

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on api, Linux, Mac, self-hosted, Windows.

Coverage.py is ranked #5 of 26 in test coverage tools on The Geeks Club. It runs on API, Linux, macOS, Self-hosted, Windows. There is a free plan.

Coverage.py plans and pricing

All plans

Coverage.py Free Open-source Python coverage tool · Enterprise subscription available through Tidelift coverage.readthedocs.io · 3 Oct 2026

Compared on test coverage tools

Free plan: Yes
Coverage types: statement, branch
Supported languages: Python
Report formats: text, HTML, XML, LCOV, JSON
Self-hosted option: Yes
Coverage gates: Yes

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The record

Purpose: Coverage.py measures which parts of Python programs ran and identifies executable code that did not run, commonly to gauge test effectiveness.
Reports: It can produce text, HTML, XML, LCOV, and JSON reports.
Contexts: Dynamic contexts can record which test function ran which lines of code.
Integrations: Coverage.py can run test suites through their usual command, and pytest-cov is an available pytest plugin that the docs say is unnecessary for most purposes.
Extensibility: Third-party plugins can extend measurement to non-Python files, such as mapping executed Python back to Django HTML templates.
Storage and API: Coverage data is stored in a SQLite database, and advanced usage can use the Coverage.py API.
Supported interpreters: The current documentation lists Python 3.10 through 3.15 rc2, including free-threading, and PyPy3 versions 3.10 and 3.11.
Measurement cores: Coverage.py offers ctrace and pytrace tracing cores plus a sysmon core; sysmon is faster for simple line and branch coverage but does not yet support dynamic contexts or plugins.
Security: The project directs vulnerability reports to Tidelift, which it says will coordinate the fix and disclosure.
License: Coverage.py is licensed under the Apache 2.0 License.
Support: Users can seek help on the Python discussion forums or Python Discord, report bugs on GitHub, and obtain professional support through Tidelift Subscription.
Intended users: The documentation presents Coverage.py as a tool for people measuring Python test effectiveness by seeing which code tests exercise and which they miss.
Price from: Free

Where it ranks on The Geeks Club

Best Test Coverage Tools in 2026#5 of 26

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Sources

coverage.readthedocs.io/en/7.16.2/· checked 3 Oct 2026
coverage.readthedocs.io/en/7.16.2/faq.html· checked 3 Oct 2026
coverage.readthedocs.io/en/7.16.2/howitworks.html· checked 3 Oct 2026
github.com/coveragepy/coveragepy· checked 3 Oct 2026