Draw cloud system architecture diagrams using Python code, enabling version-controlled diagram-as-code workflows.
Diagrams is a Python library that enables developers to draw cloud system architecture diagrams using code. It solves the problem of manually creating and maintaining architecture diagrams by allowing diagrams to be defined programmatically, making them reproducible and version-controlled. The tool supports a wide range of cloud providers, on-premises infrastructure, and SaaS components.
Cloud architects, DevOps engineers, and developers who need to create, document, or prototype system architectures, especially those working in multi-cloud environments or following infrastructure-as-code practices.
Developers choose Diagrams because it integrates diagram creation into their existing development workflows, enabling version control, automation, and consistency. Unlike manual drawing tools, it ensures diagrams stay in sync with architectural decisions and can be generated on-demand.
:art: Diagram as Code for prototyping cloud system architectures
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Diagrams are defined in Python scripts, enabling changes to be tracked in Git alongside code, ensuring documentation stays synchronized with architectural decisions.
Includes nodes for AWS, Azure, GCP, Kubernetes, and other major providers, allowing consistent diagramming across hybrid and multi-cloud environments.
Can be integrated into CI/CD pipelines for automated diagram generation, as highlighted by its use in projects like Apache Airflow for documentation.
Leverages Graphviz for automatic layout, producing professional-looking diagrams without manual styling effort, as seen in the example images.
Requires separate installation of Graphviz, which adds setup complexity and potential compatibility issues, especially in containerized environments.
Generates static images via Graphviz, lacking interactive features or real-time updates from infrastructure, limiting use for dynamic monitoring.
Requires Python 3.9+ and programming skills to define diagrams, creating a barrier for non-developers or teams preferring visual tools.