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CodeCov is a valuable tool for users to analyze and improve the quality of their code. With CodeCov, users can easily identify areas that …
Overview
What is Codecov?
Codecov's software becomes a part of the development workflow by introducing a programmatic approach to code coverage and by providing reports and metrics that help the user better understand a product and its features. Codecov is headquartered in San Francisco.
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What is Codecov?
Codecov's software becomes a part of the development workflow by introducing a programmatic approach to code coverage and by providing reports and metrics that help the user better understand a product and its features. Codecov is headquartered in San Francisco.
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Product Demos
How to get coverage reports for a GitHub repo using Codecov and Clover
YouTube
Product Details
- About
- Integrations
- Tech Details
What is Codecov?
Codecov's software becomes a part of the development workflow by introducing a programmatic approach to code coverage and by providing reports and metrics that help the user better understand a product and its features.
Features include:
Features include:
- Source Code Coverage - Codecov highlights which portions of code have not been properly tested or may require additional testing, then generates a report on a test suite’s code coverage, and overlays that directly onto source code, making it easier to identify needed test areas.
- Multi Language, Multi CI/CD - Regardless of what languages or CI/CDs use, Codecov can process code coverage uploads against the entire project and covers over 30+ languages and ALL CI providers.
- Pull Request Comments - Pull Request Comments allow a team to see coverage summaries directly in a workflow so that users can add and update tests quickly. The Codecov pull request comment provides a quick overview of how a pull request and relevant commits will affect code coverage.
- Status Checks - Codecov status checks allow users to block underperforming pull requests from being merged based on thresholds chosen. If a goal is to maintain 85% coverage, the user can configure status checks to prevent PRs from being merged until they meet goals.
- Badges - A Codecov badge is a live icon that is displayed within code host that provides a glance into the status of a project’s percentage of code coverage.
- Report Merging - Codecov Report Merging creates a unified coverage report even for tests in multiple build systems, split up tests in different containers, group tests based on test focus, or use multiple languages.
- Flags - Codecov Flags are used to isolate and categorize coverage reports for different tests and features in a project.
- YAML - The Codecov Yaml file is a single point of configuration, providing developers with a transparent and version-controlled file to adjust all Codecov settings.
- Carryforward Flags - Codecov Carryforward Flags provide a reference of past coverage for tests that are not run on a current commit.
- GitHub Checks - Codecov GitHub Checks are meant to provide meaningful code coverage metrics as close to a workflow as possible. This is done by providing line-by-line coverage on GitHub pull requests so users can access code coverage insights without ever leaving the code.
- Notifications - Codecov can send notifications to a variety of different services including Slack, Gitter, or any other IRC-compatible service.
Codecov Videos
[Video Tutorial] Codecov Unexpected Coverage Changes
Codecov Feature Overview: Flags
Codecov Integrations
- Bitbucket
- GitLab
- Jenkins
- Travis CI
- CircleCI
- Bamboo
- GitHub
- Smartlogic Semaphore
- TeamCity
- Microsoft Azure
- Amazon Web Services
- JUnit
- TestNG
- Slack
- Gitter
- Buildkite
- SimpleTest
- ScalaTest
- Sourcegraph
- Jest
- Cypress.io
- PHPUnit
- Xcode
- XCTest
- Haskell
- Groovy
- Typescript
- Google Cloud Platform
- CUnit
- UnitTest
Codecov Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
CodeCov is a valuable tool for users to analyze and improve the quality of their code. With CodeCov, users can easily identify areas that are well-tested and areas that need improvement. This allows them to ensure that their code is thoroughly tested and free from any potential issues or bugs.
Code reviewers also benefit from using CodeCov as it provides them with insights into every code change in one centralized location. They can quickly view the code coverage levels for all files in the repository, making it easier to assess the quality and testability of the code. Additionally, CodeCov helps users identify redundant code, optimizing efficiency and reducing unnecessary complexity.
Customers find great value in being able to visualize the health of their tests using CodeCov. Rather than relying on traditional GUI tools, CodeCov provides an efficient alternative by presenting the coverage information in an attractive and user-friendly manner. Users can easily identify breaking points in their code repository and promptly address any mistakes or errors.
By highlighting errors on the screen in an appealing manner, CodeCov helps users identify mistakes in their program more effectively compared to traditional tools. This allows them to make necessary corrections and improve the overall quality of their codebase.
Furthermore, CodeCov gives users confidence in shipping their code to customers by ensuring that a significant portion of their code is covered by meaningful unit tests. This thorough testing process reduces the risk of critical bugs reaching production, resulting in a smoother experience for end-users.
Overall, CodeCov offers a comprehensive solution for analyzing code coverage and improving code quality. Its user-friendly interface, insightful visualizations, and ability to pinpoint problem areas make it an invaluable tool for developers, reviewers, and customers alike.
Easy to use interface: Reviewers have consistently praised the tool's easy-to-use interface, with multiple users mentioning that it was simple and intuitive. Several reviewers have stated that the interface made it effortless for them to upload coverage by CI and view interactive visualizations of code coverage.
Seamless integration with GitHub: Many users have highlighted CodeCov's seamless integration with GitHub as a major positive aspect of the tool. They appreciate how easily they can connect their repositories on GitHub to CodeCov and access relevant information about their code status. Some reviewers specifically mentioned that this integration was one of the standout features of CodeCov.
Valuable insights through visualizations: The visualizations provided by CodeCov have been widely appreciated by users for their informative and cool nature. Multiple reviewers have emphasized that these visualizations offer valuable insights into code coverage and help them identify areas of weak coverage. Additionally, some users have also mentioned that the polished user interface makes it easy for them to assess the health of their repositories.
GitHub OAuth Integration Permissions: Some users have mentioned that the GitHub OAuth Integration in the tool requests too many permission delegations, which could be seen as a negative aspect by some reviewers.
Not Suitable for Smaller Projects: According to one user, the tool is not developed for everyone and may be more suitable for larger code bases. This suggests that it may not be ideal for smaller projects.
Difficulty in Figuring Out Test Coverage: There has been feedback about the difficulty in determining the exact test coverage needed with CodeCov. Some users have reported that despite having a diff of 0%, the CodeCov level fails. This usability issue or lack of clarity in functionality has been noted by multiple reviewers.