Diagrams is a Python library that allows users to draw cloud system architectures and other technical diagrams as code. It leverages Graphviz to render visual representations, enabling version-controlled, reproducible, and dynamic documentation for multi-cloud deployments (AWS, Azure, GCP, Kubernetes, etc.), on-premise solutions, and more. Currently at version 0.25.1, the library maintains an active release cadence with frequent updates adding new icons and features.
pip install diagramsVerified import paths — ran on the pinned version, not inferred.
This example generates a simple AWS web application diagram, saving it as 'simple_web_app.png' in the current directory without automatically opening the image.
Install Graphviz according to your OS (e.g., `brew install graphviz` on macOS, `sudo apt-get install graphviz` on Debian/Ubuntu, download installer for Windows). Ensure the `dot` executable is in your system's PATH.
While `diagrams` itself will still function, be aware of the unnecessary dependencies. This issue is likely to be addressed in a future patch release. For production environments, consider pinning to a version prior to 0.25.1 or waiting for a fix, if this is a concern.
Ensure your environment uses Python 3.9 or a newer compatible version.
Ensure the 'diagrams' package is installed using pip: `pip install diagrams`.
Install Graphviz on your operating system (e.g., `brew install graphviz` on macOS, `sudo apt-get install graphviz` on Ubuntu/Debian, or download from graphviz.org for Windows) and ensure its 'bin' directory is added to your system's PATH. Restart your terminal or IDE after modifying the PATH.
Install Graphviz on your operating system (e.g., `brew install graphviz` on macOS, `sudo apt-get install graphviz` on Ubuntu/Debian, or download from graphviz.org for Windows) and ensure its 'bin' directory is added to your system's PATH. Restart your terminal or IDE after modifying the PATH. Additionally, verify `pydot` is installed via `pip install pydot` or `conda install pydot`.