dearpygui
DearPyGui: A simple Python GUI Toolkit
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- 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).
- Medium install friction: precompiled wheels available for Python 3.8–3.14 on Windows, macOS (arm64), and Linux (x86_64, aarch64).
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in commercial and private projects with minimal attribution requirements.
last release 2026-05-01 (105 days) · last repo commit 2026-05-13 · 15,578 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 200,764 downloads/mo, #9,684 on PyPI
Alternatives
Verify before relying
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()- 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.
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 on this page. Verify before relying on it.
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
dearpygui on PyPI
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.
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).
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()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 the current Python release >=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 105 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 200,764 / month, #9,684 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: Windows :: Windows 10Operating System :: POSIXOperating System :: UnixProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: User Interfaces |
Evidence: dearpygui-2.3.1-cp310-cp310-macosx_13_0_arm64.whl; dearpygui-2.3.1-cp310-cp310-manylinux1_x86_64.whl; dearpygui-2.3.1-cp310-cp310-manylinux2014_aarch64.whl; dearpygui-2.3.1-cp310-cp310-win_amd64.whl; dearpygui-2.3.1-cp311-cp311-macosx_13_0_arm64.whl; dearpygui-2.3.1-cp311-cp311-manylinux1_x86_64.whl; dearpygui-2.3.1-cp311-cp311-manylinux2014_aarch64.whl; dearpygui-2.3.1-cp311-cp311-win_amd64.whl; dearpygui-2.3.1-cp312-cp312-macosx_13_0_arm64.whl; dearpygui-2.3.1-cp312-cp312-manylinux1_x86_64.whl; dearpygui-2.3.1-cp312-cp312-manylinux2014_aarch64.whl; dearpygui-2.3.1-cp312-cp312-win_amd64.whl; dearpygui-2.3.1-cp313-cp313-macosx_13_0_arm64.whl; dearpygui-2.3.1-cp313-cp313-manylinux1_x86_64.whl; dearpygui-2.3.1-cp313-cp313-manylinux2014_aarch64.whl; dearpygui-2.3.1-cp313-cp313-win_amd64.whl; dearpygui-2.3.1-cp314-cp314-macosx_13_0_arm64.whl; dearpygui-2.3.1-cp314-cp314-manylinux1_x86_64.whl; dearpygui-2.3.1-cp314-cp314-manylinux2014_aarch64.whl; dearpygui-2.3.1-cp314-cp314-win_amd64.whl
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