BullseyeCoverage vs Coverage.py
BullseyeCoverage
bullseye.comCoverage.py
coverage.readthedocs.ioSide by side
| Figure | BullseyeCoverage | Coverage.py |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Test Coverage Tools | 8.5 (#4) | 8.9 (#2) |
| Intended users | The company identifies its core market as C/C++ developers and testers working on mission critical systems, including embedded devices. | The documentation presents Coverage.py as a tool for people measuring Python test effectiveness by seeing which code tests exercise and which they miss. |
| Purpose | BullseyeCoverage measures C and C++ code coverage to help find untested code and assess testing completeness. | Coverage.py measures which parts of Python programs ran and identifies executable code that did not run, commonly to gauge test effectiveness. |
| Reports | Coverage can be viewed interactively in Coverage Browser or generated as HTML or console reports. | It can produce text, HTML, XML, LCOV, and JSON reports. |
| Support | The company says technical support is included with every purchase and provides a technical support request form. | Users can seek help on the Python discussion forums or Python Discord, report bugs on GitHub, and obtain professional support through Tidelift Subscription. |
Plans
BullseyeCoverage
- Evaluation licenseFree
- BullseyeCoverage licensePrice not published
In their own words
BullseyeCoverage
BullseyeCoverage measures C and C++ code coverage to help developers and testers locate untested code and assess testing completeness. It provides function coverage and condition/decision coverage, and results can be viewed interactively in Coverage Browser or generated as reports. Listed outputs include HTML, text, annotated source code, XML, Cobertura, and CSV. The tool instruments C and C++ source code and supports standard C++ versions from C++98 and C versions from C90 through current versions, plus compiler extensions. Coverage data can be exported in XML or CSV, and results from multiple computers can be merged. Supported tools include Visual Studio, Clang, GCC, Xcode, CMake, Eclipse, and embedded development tools such as Code Composer Studio. Supported environments include Windows, Linux desktop and server, macOS, and embedded systems. The company reports that instrumented execution takes 1.3–1.9× longer and code and data size increase to 1.4×; build-time effects vary by compiler. A temporary, fully functional evaluation license costs nothing and expires at the end of its evaluation period. The perpetual paid license has no listed price.
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.