coverage Description
Coverage allows Dart to collect, manipulate, and format coverage data. Collect_coverage stores coverage JSON from Dart VM Service. format_coverage formats JSON coverage data in either LCOV format or pretty-printed format.
coverage Alternatives
SimpleCov
SimpleCov is a Ruby code coverage analysis tool. It uses Ruby's built in Coverage library to gather code data. However, it makes processing the results easier by providing an API to filter, group merge, format and display those results. This allows you to create a complete code coverage suite with just a few lines of code. SimpleCov/Coverage track covered ruby codes, but coverage for common templating options like slim, erb, and haml was not possible. You will want to see all coverage results for your projects. This includes all types of tests and Cucumber features. SimpleCov automatically handles this by caching and merging reports when creating them. This ensures that your report includes coverage across all your test suites, and gives you a better view of any gaps. SimpleCov must run in the same process as the code coverage analysis.
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pytest-cov
This plugin generates coverage reports. This plugin offers more than just coverage. Subprocess support is available so that you can fork and run stuff in subprocesses and get covered without fuss. Xdist support is available so that you can still use all the features of pytest.xdist and still receive coverage. Consistent pytest behavior. All features of the coverage package should work. In some cases, site packages may contain a stray file.pth. To ensure that each test run has clean data, the data file is deleted at the beginning of testing. You can combine coverage from multiple test runs by using the --cov-append option. This will add this coverage data to coverage data of previous test runs. It is possible to examine the data file using normal coverage tools.
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test_coverage
This simple command-line tool can be used to gather test coverage information from DartVM tests. This tool is useful for generating coverage reports locally during development.
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JCov
The JCov open source project is used for gathering quality metrics related to the production of test suites. JCov will be open to allow the verification of regression tests being executed in OpenJDK. JCov's main purpose is transparency in test coverage metrics. OpenJDK developers will have the opportunity to use a code-coverage tool that is in 'lock step with Java language and VM development. This is why we promote standard coverage based JCov. JCov, a Java implementation of a code-coverage tool, provides a way to measure and analyze dynamic Java program code coverage. JCov allows you to see uncovered execution paths and method coverage. It can also show the source code of a program annotated with coverage information. JCov is most useful for testing to determine execution paths.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
pub.dev
Website:
pub.dev/packages/coverage
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Product Details
Platforms
Windows
Mac
Linux
Type of Training
Documentation
Customer Support
Online
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