Generate documentation for Ansible roles using inline annotations and Jinja2 templates.
Ansible Doctor is a tool that automatically generates documentation for Ansible roles by parsing inline annotations within role files. It solves the problem of outdated or missing documentation in Ansible projects by extracting metadata directly from source code. The tool uses Jinja2 templates to produce formatted documentation, making it easy to maintain consistent and up-to-date role documentation.
Ansible developers and DevOps engineers who manage Ansible roles and need to keep documentation synchronized with code changes. It's particularly useful for teams practicing infrastructure as code and seeking to automate documentation within their CI/CD pipelines.
Developers choose Ansible Doctor because it eliminates manual documentation updates by generating docs from annotations, ensuring documentation always matches the code. Its template system allows customization for different output formats, and its CI/CD integration makes it a seamless part of automated workflows.
Annotation based documentation for your Ansible roles
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Extracts documentation directly from special comment tags in YAML files, ensuring docs match the code exactly as stated in the README.
Uses Jinja2 templates to customize output for formats like HTML or XML, with a default 'readme' template included for easy start.
Designed to run in continuous integration pipelines, fitting into automated testing and deployment workflows as highlighted in the README.
Available as a Python package on PyPI and GitHub, and as a Docker image on Docker Hub and Quay.io, offering flexible deployment options.
Relies on developers consistently adding and maintaining inline annotations, which can be overlooked or done inconsistently, leading to incomplete docs.
Specifically targets Ansible roles, so it may not support other Ansible artifacts like playbooks or collections without significant template customization.
Generates static documentation files without interactive features, limiting its use for dynamic or real-time documentation needs.