# Tkinter-Designer: Generate Python GUI Code from Figma Designs

> Tkinter-Designer turns a Figma file into runnable Tkinter code and image assets through the Figma API. It is a code generator for Python developers who already design in Figma, not a visual editor inside Python.

**ParthJadhav/Tkinter-Designer** — An easy and fast way to create a Python GUI 🐍

- Repository: https://github.com/ParthJadhav/Tkinter-Designer
- Website: https://www.parthjadhav.com/products/tkinter-designer
- Stars: 10,262 · Forks: 931
- Language: Python
- License: BSD-3-Clause
- Published: 2026-09-21 · Updated: 2026-09-21 · Language: en
- Canonical page: https://hysenlabs.com/projects/parthjadhav-tkinter-designer

## The problem Tkinter-Designer solves, and who it is for

Tkinter ships with Python, so a window with a few widgets takes minutes. Making that window look deliberate is the slow part. Positioning, image slicing and color matching are manual work, and every design revision repeats it. Tkinter-Designer targets that gap: the README states it was created to speed up the GUI development process in Python, and that it uses Figma to make creating Tkinter GUIs easier. The intended user is a Python developer who already has a Figma file. The project's own GUI is built with Tkinter-Designer, which is the strongest available signal that the generated output is meant to be a real application rather than a mockup. If you are not a Figma user, the tool has nothing to consume and the workflow does not start.

## How the Figma API becomes Tkinter code and image files

The pipeline is one-directional. According to the README, Tkinter-Designer uses the Figma API to analyze a design file and create the respective code and files needed for the GUI. You supply a Figma file URL and an API token; the tool reads the document, then writes a build directory containing generated Python and the image assets those widgets reference. There is no round trip. Editing the generated code and then regenerating discards your edits unless you keep them outside the generated files, which is why the README notes that generated gui.py files can be imported from another Python file without starting mainloop() automatically. That import behaviour is the intended extension point: you attach commands in your own module and regenerate the UI underneath. Multi-frame support generates code and files for each frame in a single design file, and the README points to a pages template for Back/Next navigation across those frames.

## Installing Tkinter-Designer and generating a first frame

The README states Tkinter-Designer supports Python 3.9 and newer and gives the install command directly. Run this in the environment where you want the CLI available.

```bash
pip install tkdesigner
```

After installation the tkdesigner command is on your path. You need a Figma file URL and a Figma token. The README warns to always wrap Figma URLs in quotes when running from a shell, because Figma links often include ? and & query parameters, and it notes the CLI accepts both current figma.com/design/... links and legacy figma.com/file/... links. If you select a specific frame in Figma before copying the link, Tkinter-Designer generates that selected frame.

```bash
tkdesigner "$FILE_URL" "$FIGMA_TOKEN"
```

The command writes a build directory with the generated code and images. For a class-based app, the README gives this variant:

```bash
tkdesigner --template class $FILE_URL $FIGMA_TOKEN
```

To generate one app with Back and Next navigation across multiple Figma frames, use the pages template:

```bash
tkdesigner --template pages $FILE_URL $FIGMA_TOKEN
```

Generated apps can also apply a ttk theme, for example clam:

```bash
tkdesigner --theme clam $FILE_URL $FIGMA_TOKEN
```

Use -f when you want the CLI to clear and regenerate an existing build directory. The repository Makefile exposes the same CLI through poetry with a target that passes ${FIGMA_PROJECT_URL} and ${FIGMA_TOKEN} and appends -f, so the flags in the README and the Makefile line up.

## Where the generated output stops being enough

The generator reproduces what Figma describes. It does not invent behaviour. Buttons arrive without callbacks, and the README's own answer to that is to import the generated gui.py from another file and attach commands separately. That is a real architectural constraint, not a footnote: your application logic lives outside the generated tree, and any regeneration has to leave it untouched. The second limitation is dependency on a network service and a credential. Every run needs a valid Figma token and a reachable Figma API, so an offline build machine or an air-gapped CI runner cannot regenerate the interface. The third is the release cadence. The most recent release listed is v1.0.7 from 2023-01-22, while the repository's last push was on 2026-09-05, so the CLI features described in the README (the class and pages templates, the theme flag, the -f flag) are newer than any tagged release. Installing from PyPI may not give you the same CLI surface as installing from the repository, and the README does not state which version pip install tkdesigner resolves to. If you need a widget that Figma cannot express as a frame, layer or image, the tool cannot produce it, and you are back to writing that part by hand.

## Tkinter-Designer versus Qt Designer

Qt Designer is the comparison people search for, and the difference is in where the design lives. Qt Designer is a visual editor that runs on your machine and emits .ui XML files, which PyQt or PySide load at runtime. You drag widgets onto a canvas inside the tool. Tkinter-Designer has no widget canvas. Its canvas is Figma, and its output is Python source plus image assets rather than a declarative file loaded by a framework. That changes the failure modes. A .ui file keeps the layout separate from the code and can be reloaded without regenerating anything; a generated gui.py is source you either import or edit. Qt Designer also works with no network access, while Tkinter-Designer needs the Figma API on every generation run. The trade-off runs the other way too: Tkinter-Designer inherits Figma's layout, typography and asset export, so a designer can iterate without touching Python, and the result targets Tkinter, which needs no extra GUI toolkit dependency beyond what the standard library provides.

## Maintenance, licensing and upgrade cost

The repository is not archived and the last push was on 2026-09-05, so the project is being touched, but the tagged release history is thin: v1.0.7 in January 2023, v1.0.5 in October 2022 and v1.0.4 in August 2021. Anyone pinning the PyPI package is pinning behaviour that predates the CLI options documented in the README. The dependency surface is small and declared in requirements.txt as jinja2, Pillow, requests and urllib3, with pyproject.toml constraining them as jinja2>=3.1,<4, Pillow>=11,<13, requests>=2.31,<3 and urllib3>=1.26.18,<2. Upgrades are therefore mostly about those four packages, and the Pillow range is the one most likely to move, since image handling is central to the generated assets. The licence is BSD-3-Clause, declared both in the repository and in pyproject.toml. That is a permissive licence, but generated output embeds assets exported from your Figma file, so the rights you hold over those assets are a separate question from the licence on this tool. The Dockerfile installs python3-tk and tk on a python:3.12-slim base and sets the entrypoint to tkdesigner, which is the practical route when you want the CLI without managing a local Python environment.

## Conclusion

Adopt Tkinter-Designer if your interface already exists as a Figma design and you want generated Tkinter code plus image assets instead of hand-placed widgets. Do not adopt it if you have no Figma file, if you need a visual editor that runs inside Python, or if you refuse to manage a Figma token. Before committing, generate one frame with tkdesigner --template class and check the resulting gui.py import behaviour, because the README states generated files can be imported without starting mainloop() automatically.

## FAQ

### What is Tkinter-Designer?

It is a tool that reads a Figma design through the Figma API and generates the Tkinter code and image files needed to build that interface in Python. The README states it was created to speed up the GUI development process in Python.

### How do I install Tkinter-Designer?

The README gives pip install tkdesigner and states the tool supports Python 3.9 and newer. After that, the tkdesigner command is available and takes a Figma file URL and a Figma token.

### How do I use Tkinter-Designer with a Figma file?

Design the interface in Figma, then run tkdesigner with the file URL and your Figma token. Wrap the URL in quotes, because the README notes Figma links often include ? and & query parameters, and if you select a frame before copying the link the tool generates that frame.

### Is Tkinter-Designer free?

The project is released under the BSD-3-Clause licence, which is permissive and allows commercial use. Note that it depends on the Figma API, so a Figma account and token are part of the workflow.

### Is there a designer for Tkinter?

Tkinter-Designer is one: the README describes it as a drag and drop GUI creator that takes a Figma design and produces Tkinter code and assets. It is not a visual editor embedded in Python, since the design work happens in Figma.

## Sources

- [License: BSD-3-Clause](https://github.com/ParthJadhav/Tkinter-Designer/blob/master/LICENSE)
- [ParthJadhav/Tkinter-Designer on GitHub](https://github.com/ParthJadhav/Tkinter-Designer)
- [Project website](https://www.parthjadhav.com/products/tkinter-designer)
- [README](https://github.com/ParthJadhav/Tkinter-Designer/blob/master/README.md)
- [Releases](https://github.com/ParthJadhav/Tkinter-Designer/releases)

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Hysen Labs editorial analysis, written from the project's own repository and release notes. Cite the canonical page: https://hysenlabs.com/projects/parthjadhav-tkinter-designer
