DearPyGui is a GPU-accelerated, immediate-mode graphical user interface framework for Python. It provides a high-performance toolkit for building interactive desktop applications by leveraging native hardware-accelerated rendering backends across multiple operating systems. By utilizing an immediate-mode execution model, the library offers direct control over the rendering loop and element state, enabling the creation of responsive, dynamic interfaces.
The framework distinguishes itself through its ability to handle complex, high-frequency visual updates, making it suitable for real-time data visualization and scientific instrumentation. It includes specialized support for constructing node-based editors, interactive data plots, and custom drawing canvases. Developers can manage interface complexity through a hierarchical registry system that uses unique identifiers to reference and manipulate components dynamically at runtime.
The library covers a broad capability surface, including advanced layout management with window docking, custom visual theming, and integrated diagnostic tools for inspecting application state. It supports asynchronous task execution to maintain interface responsiveness during intensive computations and provides extensive hooks for event-driven callbacks.
The project is distributed as a Python library, providing a high-level interface to a compiled C++ core that manages the underlying rendering and layout logic.
