epezent/implot
Implot
Features
- Immediate Mode Plotting Libraries - An interactive plotting library for Dear ImGui that renders GPU-accelerated line, scatter, bar, and heatmap charts.
- Charts and Visualization - Renders line, scatter, bar, heatmap, histogram, and image charts on shared axes for comparative analysis of multiple datasets.
- Multi-Chart Visualization Tools - Renders line, scatter, bar, heatmap, histogram, and image charts on shared axes for comparative analysis of multiple datasets.
- Chart Axes - Sets axis ranges, scaling modes, time formatting, reversibility, and enables up to three independent axes per plot.
- Scale and Range Configurations - Configures linear/logarithmic scales, multiple axes, reversible ranges, and time-formatted labels.
- Multi-Axis Coordinate Systems - Supports up to three independent X and Y axes per plot with configurable scales, ranges, and time formatting.
- Dataset Comparators - Displays several data series on the same axes so users can compare trends and relationships at a glance.
- Plot Query Ranges - Provides interactive box selection on plots to extract and analyze coordinate subranges.
- Multi-Series Overlays - Overlays multiple independent data series on the same axes, each with its own style and legend entry.
- Getter-Based Data Access - Ships a callback-based data access mechanism for plotting custom data structures without copying.
- Scatter Plot Rendering - Renders user-defined datasets that respond to mouse hover, click, and drag for real-time exploration.
- Multi-Chart Type Libraries - Renders line, scatter, bar, heatmap, histogram, and image charts on a single plot.
- GPU-Accelerated Plotting Libraries - Uses OpenGL vertex buffers and shaders to draw plot elements directly on the GPU for high-performance rendering of large datasets.
- Interactive Plotting Frameworks - Provides zooming, panning, box selection, auto-fitting, and persistent query ranges for data exploration.
- Interactive Plot Exploration Widgets - Ships a widget providing mouse-driven zooming, panning, box selection, and data querying for real-time plot exploration.
- Composite Plot Types - Combines lines, bars, scatter, and other plot types on a single plot for composite visualizations.
- Plot Pan and Zoom Controls - Provides mouse-driven controls for zooming, panning, box selection, and auto-fitting data within a plot.
- Subplot Grid Layouts - Arranges multiple independent plots into a rectangular grid layout within a single window.
- Colormap-Driven Heatmaps - Renders heatmaps by mapping 2D data to colors via user-defined colormaps.
- Logarithmic Axis Scales - Scales axes logarithmically to reveal patterns in data spanning several orders of magnitude.
- Strided Data Inputs - Accepts float, double, and integer data with support for custom structs via striding or callbacks.
- Grid Composition Tools - Organizes multiple independent plots into a grid layout within a single window for comparative data viewing.
- Legend Management - Adds text labels, titles, and interactive legends to plots for identifying series and data points.
- Plot Styling Configurators - Controls colors, line styles, marker shapes, axis ranges, and grid visibility through per-plot configuration flags.
- Flag-Based Plot Styling - Configures plot appearance via bitmask flags for axes, grids, legends, and interaction modes.
- Plot Annotations - Adds text labels, markers, legends, and custom colors or line styles to highlight observations and match a theme.
- Data Point Labels - Adds text labels, arrows, or markers at specific coordinates to highlight observations in plots.
- GUI Frameworks - Plotting widgets for immediate-mode interfaces.
- UI Libraries - GPU-accelerated plotting library.
