You can often integrate PlantUML with your Python documentation (e.g., within docstrings) to generate diagrams alongside your code. PlantUML provides a concise and human-readable way to define UML diagrams.

May 3, 2015 · Epydoc is a tool to generate API documentation from Python source code. It also generates UML class diagrams, using Graphviz in fancy ways. Here is an example of diagram generated from the source code of Epydoc itself.

The assistant supports the generation of Flowcharts, Sequence Diagrams, Class Diagrams, and UML Diagrams. It analyzes the provided Python code, understands its structure and relationships, and translates this into a visual diagram using PlantUML or Mermaid code syntax.

Mar 3, 2025 · In the list that opens, select Python Class Diagram. PyCharm generates a UML diagram for classes and their dependencies. You can use the UML Class diagram to evaluate how your local code changes affect the application.

Sep 19, 2022 · Use pyreverse command to create the UML diagram image. The generated image looks something like this. (Click to open) Your code moves faster than the digrams you created for the documentation. How about a Python tool that you can add to your CI/CD pipeline that generates UML diagram for each version of your code.

Oct 21, 2022 · Some examples include those that parse C++ header files, Python source code, and Java code using Javadoc. Take the generated PlantUML description of the code and insert it into a .drawio diagram.

Dec 5, 2024 · Explore the best tools and methods for generating UML diagrams from Python source code, focusing on inheritance and composition relationships.

Aug 9, 2024 · It parses your Python files, extracts class definitions, methods, and attributes, and creates a structured UML diagram in XML format. This diagram can be easily visualized using tools like draw.io.

Transforms Python code into PlantUML format for visualization. Users can generate class diagrams to understand structure and sequence diagrams to map the flow of interactions. Requires PlantUML installed on the system. Offers additional sequence diagrams for a deeper analysis of program flow. Flexible and supports custom UML needs.

The most convenient approach should be to have a Jupyter notebook extension that dynamically generates diagrams of the classes defined in a notebook somehow like the variable inspector - possibly with the option to specify an alternative root like datetime in the first answer to creating UML charts by Pylint/pyreverse within Jupyter labs / console.