Best Software Development Analytics Tools for Ruby

SonarQube Server is a self-managed solution for continuous code quality inspection that helps development teams identify and fix bugs, vulnerabilities, and code smells in real-time. It provides automated static code analysis for a variety of programming languages, ensuring the highest quality and security standards are maintained throughout the development lifecycle. SonarQube Server integrates seamlessly with existing CI/CD pipelines, offering flexibility for on-premise or cloud-based deployment. With advanced reporting features, it helps teams manage technical debt, track improvements, and enforce coding standards. SonarQube Server is ideal for organizations seeking full control over their code quality and security without compromising on performance.

Going beyond lines of code or the number of commits. Teams attempting to track developer productivity are more likely to complete their assigned tasks on time. The median S&P500 company suffers from significant losses per employee due to low productivity. More than one-third of engineering leads found it difficult to measure developer efficiency accurately. Standardized evaluation mechanism, irrespective of how diverse your tech stack is, to provide an accurate measurement of shipping velocity. Get access to a custom-built dashboard to track the shipping velocity of your engineers across different teams. We standardize the code evaluation mechanism across different programming languages. We provide you with an engineer performance index by which we compare your engineers with your industry peers of the same attributes. Understand how much of your engineers' time goes to fixing bugs or unplanned work.

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/