Features

Source Code Coverage

Codecov makes it easy to see absolute coverage and coverage changes overlayed with your source code, making it even easier to identify needed test areas.

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Pull Request Comments

Get a summary of coverage information directly in your workflow so that you can add and update tests quickly and effectively.

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Status Checks

Block underperforming pull requests from being merged with status checks. No more indecision if a code change has enough test coverage.

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GitHub Checks

Want to see uncovered lines directly on a GitHub pull request? Our GitHub Checks feature shows you line-by-line coverage so you can stay in your workflow.

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Codecov + Sentry

Codecov’s Sentry integration provides test coverage data directly to Sentry’s stack trace, giving development teams actionable insights on where to fix regressions and where test coverage could prevent them, all without leaving their workflow.

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Flags

Do you split your testing between your frontend and backend? Maybe collect coverage by project in a monorepository? You can isolate coverage information based on groupings using Codecov Flags.

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Components

Codecov’s Components feature provides a powerful tool to isolate and categorize coverage data from your project, using filters that can be defined in your codecov.yml. You can use components you …

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Report Merging

Do you generate multiple coverage reports? Codecov can handle merging them seamlessly, whether you upload multiple reports at once or across different CI/CDs

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YAML

Customize Codecov’s behavior with a developer friendly YAML file that can conform to even the most complex codebases and workflows.

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Impact Analysis

Impact Analysis takes runtime information from an application’s production environment and provides this information contextually in the Codecov dashboard and in the Codecov pull request comment. Now, in any pull …

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