Top Atlassian Clover Alternatives for Comprehensive Code Coverage

Atlassian Clover provides robust Java and Groovy code coverage for software testing, aiming to help developers write more effective code rather than spending excessive time on testing itself. While Clover is a powerful tool, many development teams seek alternatives for various reasons, including cost, open-source preference, specific feature needs, or integration requirements. If you're looking for an Atlassian Clover alternative, you're in the right place.

Top Atlassian Clover Alternatives

Finding the right code coverage tool can significantly impact your development workflow. Here are some of the best alternatives to Atlassian Clover, offering excellent capabilities for ensuring your code is thoroughly tested.

OpenClover

OpenClover is a compelling open-source code coverage tool for Java, Groovy, and AspectJ. It's particularly notable as it's based on the open-sourced version of Atlassian Clover itself, making it a natural Atlassian Clover alternative. Being free and open-source, it's an excellent choice for teams looking to reduce licensing costs while maintaining high-quality code coverage analysis. OpenClover is self-hosted and offers integrations with popular platforms like Eclipse, IntelliJ IDEA, Jenkins, and Maven, including a dedicated Eclipse plugin and Jenkins integration for streamlined CI/CD pipelines.

cobertura

Cobertura is another free and open-source Java tool that precisely calculates the percentage of code accessed by your tests. As a straightforward and effective Atlassian Clover alternative, Cobertura helps identify areas of your Java program that might be lacking sufficient test coverage. It's a cross-platform solution, available for Mac, Windows, and Linux, making it versatile for various development environments. While it doesn't boast a long list of unique features, its core functionality of providing clear code coverage metrics is robust and reliable.

Choosing the best Atlassian Clover alternative depends on your team's specific needs, budget, and existing toolchain. We encourage you to explore these options further to find the perfect fit that enhances your code quality and development efficiency.