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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:

  1. 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.
  2. 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.
  3. Lightweight and Easy Installation: RedCoffee is available on PyPI and can be installed using pip.
  4. 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
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