---
id: dearpygui
version: "2.3.1"
license: MIT
license_treatment: permissive
maintenance: active
---

# dearpygui — DearPyGui: A simple Python GUI Toolkit

License: permissive · Maintenance: active · Downloads: 200.8K/mo

## What it is and what it does

dearpygui is a Python GUI framework built on Dear ImGui, using GPU-accelerated rendering and C/C++ internals to deliver high-performance interfaces. It implements the immediate-mode paradigm, where the UI is rebuilt each frame, enabling highly dynamic and responsive applications without the overhead of traditional retained-mode frameworks.

The package includes built-in plotting (via ImPlot), node editing (via imnodes), and canvas drawing capabilities. It supports theme customization, asynchronous operations, and developer tools for inspection and debugging. Cross-platform support spans Windows (DirectX 11), macOS (Metal), and Linux (OpenGL 3), with precompiled wheels for Python 3.8–3.14.

Use it for:

- Build real-time data visualization dashboards that display and update large datasets at 60 fps.
- Create node-based editors for workflow design, shader graphs, or visual programming interfaces.
- Develop quick prototyping tools and internal utilities with minimal UI boilerplate.
- Build 2D canvas-based applications including games, drawing tools, or custom visualizations.
- Design cross-platform desktop applications requiring modern theming and responsive layouts.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

dearpygui is a GPU-accelerated GUI framework for Python that builds immediate-mode interfaces with built-in support for plotting, node editing, and canvas drawing.

Yes. dearpygui is a solid choice for developers needing a performant, modern GUI framework with GPU acceleration and no runtime dependencies. Active maintenance, permissive MIT license, and broad Python version support (3.8–3.14) make it low-risk. Medium install friction is offset by precompiled wheels across major platforms. No known vulnerabilities. Best suited for real-time visualization, node editors, and performance-critical UIs; less ideal if you need web-based deployment or extensive native widget libraries.

## Install

pip install dearpygui
uv add dearpygui
poetry add dearpygui

## Installing dearpygui

Before you install: Medium install friction: precompiled wheels available for Python 3.8–3.14 on Windows, macOS (arm64), and Linux (x86_64, aarch64). Active maintenance with recent releases; no runtime dependencies to manage.

License in practice: MIT license permits unrestricted use, modification, and distribution in commercial and private projects with minimal attribution requirements.

Quickstart:

pip install dearpygui

import dearpygui.dearpygui as dpg

dpg.create_context()
dpg.create_viewport()
dpg.setup_dearpygui()

with dpg.window(label="Example Window"):
    dpg.add_text("Hello world")
    dpg.add_button(label="Save")

dpg.show_viewport()
dpg.start_dearpygui()
dpg.destroy_context()

Requires Python 3.8 or later, 64-bit interpreter. GPU drivers required for rendering (DirectX 11 on Windows, Metal on macOS, OpenGL 3 on Linux).

Verify before relying:

- Whether asynchronous function support covers all callback types or only specific use cases.
- Performance characteristics when rendering significantly more than 1 million datapoints or with complex node graphs.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 200.8K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

python gui framework, gpu accelerated ui library, immediate mode gui, plotting and graphing ui, node editor widget, cross-platform desktop gui, fast python gui, gpu-rendering, immediate-mode-ui, data-visualization

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