dearcygui 0.1.4

DearCyGui: A simple and customizable Python GUI Toolkit coded in Cython

DearCyGui is a powerful, performant GUI library for Python that offers a refreshing approach to creating modern graphical user interfaces. Built with performance in mind, it bridges Python's ease of use with the speed of Dear ImGui through efficient Cython bindings.

Key Features

🚀 Performance First

• Blazing Fast Rendering: Efficient rendering based on Dear ImGui
• Low CPU/GPU Usage: Renders only when needed
• Multi-thread ready: It is safe and efficient to update the UI from any thread.
• Smooth Animation: Maintains high framerates even with complex, animated interfaces

🧩 Rich Widget Collection

• Core UI Elements: Buttons, sliders, checkboxes, input fields, and more
• Advanced Components:
  • Color pickers with multiple formats (RGB, HSV, HEX)
  • Tables with sorting, filtering, and custom styling
  • Tree nodes and collapsible sections
  • Tabbed interfaces
  • Tooltips and context menus
  • Pop-up and modal windows
  • Build you own custom widgets and dashboards

📊 Data Visualization

• Extensive Plotting Library: Built on ImPlot for high-performance data visualization
• Plot Types: Line, scatter, bar, histogram, pie, heat maps, error bars, stem plots, and more
• Scientific Features: Logarithmic axes, time series, annotations, and legends
• Interactive Elements: Pan, zoom, and data selection capabilities

🎨 Styling & Theming

• Complete Theme Control: Customize colors, sizing, padding, and more
• Theme Inheritance: Create theme hierarchies for consistent UI design
• Four Theme Types:
  • ThemeColorImGui: Control colors for UI widgets
  • ThemeStyleImGui: Adjust sizes and spacing
  • ThemeColorImPlot: Customize plot colors
  • ThemeStyleImPlot: Fine-tune plot styling
  • ThemeList: Combine multiple themes
  • Your custom items can adapt to the theme

💻 Developer Experience

• Pythonic API: Clean, intuitive interface designed specifically for Python developers
• Object-Oriented: Full subclassing support for extending functionality
• Context Management: Use Python's with statement for cleaner code
• Auto-Layout: Dynamic sizing and positioning with flexible constraints
• Extensive Documentation: Comprehensive guides and examples
• Asyncio compatible: Integrate the rendering into an asyncio loop, or use asyncio in your callbacks

🔍 Advanced Features

• Drawing API: Create custom antialiased graphics with various shapes and advanced visuals such as dashed lines
• DPI Awareness: Proper scaling on high-DPI displays
• Customizable Tooltips: Add helpful information throughout your application
• Font Support: Use custom fonts with FreeType rendering

Quick Examples

Basic Window with Button

import dearcygui as dcg

def button_clicked(sender, target, data):
    print("Button clicked!")

# Create context and initialize viewport
C = dcg.Context()
C.viewport.initialize(title="Hello DearCyGui", width=400, height=200)

# Create a window with a button
with dcg.Window(C, label="My First Window", primary=True):
    dcg.Button(C, label="Click Me!", callback=button_clicked)

# Main event loop
while C.running:
    C.viewport.render_frame()

Data Visualization Example

import dearcygui as dcg
import numpy as np

# Create sample data
x = np.linspace(0, 10, 100)
y1 = np.sin(x)
y2 = np.cos(x)

# Create context and window
C = dcg.Context()
C.viewport.initialize(title="Plotting Example", width=600, height=400)

with dcg.Window(C, label="Plot Demo", primary=True):
    with dcg.Plot(C, label="Trigonometric Functions", height=-1, width=-1) as plot:
        # Configure axes
        plot.X1.label = "x"
        plot.Y1.label = "y"
        
        # Add data series
        dcg.PlotLine(C, X=x, Y=y1, label="sin(x)")
        dcg.PlotLine(C, X=x, Y=y2, label="cos(x)")

# Main loop
while C.running:
    C.viewport.render_frame()

Custom Styling

import dearcygui as dcg

C = dcg.Context()
C.viewport.initialize(title="Styled UI", width=400, height=300)

# Create a theme
with dcg.ThemeList(C) as my_theme:
    # Customize colors
    dcg.ThemeColorImGui(C, 
        button=(100, 50, 200),       # Purple buttons
        button_hovered=(130, 80, 230), 
        text=(240, 240, 240),        # Light text
        window_bg=(40, 40, 50)       # Dark background
    )
    # Customize styles
    dcg.ThemeStyleImGui(C,
        frame_rounding=5.0,          # Rounded corners
        frame_padding=(10, 5)        # Padding inside frames
    )

# Apply theme to a window
with dcg.Window(C, label="Styled Window", primary=True, theme=my_theme):
    dcg.Text(C, value="This window has custom styling!")
    dcg.Button(C, label="Styled Button")
    dcg.Slider(C, label="Slider", min_value=0, max_value=100)

while C.running:
    C.viewport.render_frame()

Installation

pip install dearcygui

For the latest development version:

git clone --recurse-submodules https://github.com/DearCyGui/DearCyGui
cd DearCyGui
pip install .

System Requirements

• Platforms: Windows, macOS, Linux
• Python: 3.10+
• Dependencies: freetype, automatically installed with pip. Does not depend on numpy.
• Optional dependencies: skia-python (svg support), uvloop (faster asyncio), pymd4c (Markdown), numpy and imageio (Demos)

Documentation & Resources

• Tutorials: Getting Started Guide
• Demo Gallery: https://github.com/DearCyGui/Demos
• Documentation: Extensive docstrings for all items. Documentation on the main concepts available in the docs folder
• Examples: The main_demo folder contains a runnable and readable demo of most features

Why DearCyGui?

• Unlike Tkinter/PyQt/wxPython: No complex layout managers or event loops to manage
• Unlike other Dear ImGui bindings: Higher-level API designed specifically for Python
• Unlike web-based solutions: Native performance without browser dependencies
• Perfect for: Data visualization tools, scientific applications, mini-games, debugging interfaces

Community & Support

• GitHub Issues: Report bugs
• Discussions: Join our Discord

Credits

DearCyGui is built upon several excellent open-source projects:

• Dear ImGui - Immediate mode GUI library
• ImPlot - Plotting library for Dear ImGui
• Cython - C-extensions for Python
• SDL3 - Cross-platform development library
• FreeType - Font rendering library
• Delaunator and Constrainauthor - For concave polygon rendering

License

DearCyGui is available under the MIT License. See the LICENSE file for more information.

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Portions of this software are copyright © 2024 The FreeType Project (www.freetype.org). All rights reserved.