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RedCoffee
Generate insightful PDF Reports for code analysis done using SonarQube Community Edition
RedCoffee is an open-source Python CLI tool designed to convert SonarQube Community Edition analysis into professional, printable PDF reports. This tool addresses a significant gap in the SonarQube CE ecosystem by enabling teams to share code quality insights without requiring dashboard access.
🔑 Key Features of RedCoffee:
- Effortless PDF Report Generation: RedCoffee allows users to generate comprehensive PDF reports from existing SonarQube analyses using a simple command-line interface. This feature is particularly beneficial for teams needing to share code quality metrics with stakeholders who may not have direct access to the SonarQube dashboard.
- Seamless Integration with GitHub Actions: The tool offers a dedicated GitHub Action, enabling automated report generation within CI/CD pipelines. This integration ensures that code quality reports are consistently produced and can be easily accessed or shared as part of the development workflow.
- Lightweight and Easy Installation: RedCoffee is available on PyPI and can be installed using pip.
- Customizable Output: Users can specify the SonarQube host, project key, output path, and authentication token when generating reports, providing flexibility to tailor the output to specific project needs.
Key Benefits:
- Enhanced Accessibility: By converting SonarQube analyses into PDFs, testers can easily share code quality reports with non-technical stakeholders, facilitating better communication and transparency.
- Improved Workflow Efficiency: Integration with GitHub Actions allows for automated report generation, reducing manual effort and ensuring up-to-date documentation of code quality.
- Facilitates Compliance and Auditing: Printable reports serve as tangible records for compliance checks, audits, and quality assurance processes.
- Supports Diverse Environments: RedCoffee is particularly useful for teams using SonarQube Community Edition in local or Dockerized environments, where traditional reporting options may be limited.
Tags:
CLIPythonOpen Source