Best Software Development Analytics Tools for Ruby

SonarQube Server is a robust, self-hosted solution that allows development teams to continuously monitor and enhance code quality and security. It offers automated static analysis for a wide array of programming languages, helping teams detect bugs, vulnerabilities, and inefficiencies early in the development process. With SonarQube Server, users can seamlessly integrate code quality checks into their CI/CD workflows, whether on-premises or in the cloud. The platform provides detailed, actionable reports that help teams reduce technical debt, improve maintainability, and uphold coding standards across projects. Ideal for organizations looking for complete control over their code quality processes, SonarQube Server supports scalability and customization to meet enterprise needs.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

Beyond the number of lines of code and commits. Teams that track developer productivity are likely to complete tasks on time. Low productivity costs the median S&P500 firm significant losses per employee. More than a third of engineering leaders found it difficult measuring developer efficiency accurately. Standardized evaluation mechanisms, regardless of how diverse your technology stack is, will provide an accurate measure of shipping velocity. You can access a dashboard that tracks the shipping velocity for your engineers in different teams. We standardize code evaluation across different programming language. We compare your engineers to other industry peers with the same attributes. Find out how much time your engineers spend fixing bugs or doing unplanned work.