Tkinter-Designer is my open-source tool for turning a Figma design into a Python Tkinter interface. The useful part of the workflow is the handoff: a visual layout becomes code and assets that you can inspect, run, and extend.
What the generator does
The generator reads a design through the Figma API and produces the Python code and image files needed for the interface. Figma supplies the visual arrangement; Tkinter provides the desktop UI at runtime. The generator itself has a Tkinter interface created with the same tool.
That does not mean every possible Figma design becomes a complete application. Designs need to follow the supported element and naming conventions in the setup guide. A generated interface also needs application behavior: button actions, validation, data access, and whatever else makes the program useful.
A practical workflow
Start with a small frame. Make sure its elements follow the guide, then generate it and inspect the output before expanding the design. A small example makes it easier to identify whether an issue comes from a design convention, a generated asset, or application code.
The current project README documents Python 3.9 or newer and the tkdesigner package. It accepts both current Figma design URLs and older file URLs. Select a particular frame before copying the link if you want to generate that frame.
For the command-line workflow, quote the URL and token variables:
tkdesigner "$FILE_URL" "$FIGMA_TOKEN"A Figma URL can contain query parameters such as ? and &. Quoting keeps the shell from interpreting parts of the URL as shell syntax. Keep the token out of committed files and public examples.
Give generated code a clear boundary
The current CLI supports class-based output and page templates for navigation between frames. It also allows generated gui.py files to be imported without automatically starting the Tkinter main loop.
That separation is useful when a design changes. Put application-specific behavior in code you own separately from the generated layout where possible. Then inspect the regenerated output and reconnect the behavior deliberately, instead of relying on hand edits inside files that the generator may replace.
This is also a good reason to keep generated output in version control: a diff shows what a new design changed. Check the image assets as well as the Python file, since both participate in the interface.
Where to go next
The project page links to the source and tutorial. The repository contains examples, translated documentation, and current issues. Use the instructions for the version you install; support evolves over time.
For a visual introduction, watch my Tkinter Designer tutorial. Start with a small interface, understand the output, and build the application around it.