leeoniya/uPlot
UPlot
uPlot is a high-performance canvas time series charting library designed to render millions of data points with high frame rates. It functions as a high-frequency data visualizer and a real-time data stream plotter, utilizing the HTML5 Canvas API to maintain responsiveness when plotting large temporal datasets.
The project distinguishes itself as a plugin-based visualization framework that allows for custom renderers to create specialized visuals such as heatmaps and box-and-whisker plots. It also serves as an interactive financial charting tool, specifically supporting OHLC charts, bars, and area bands.
The library covers a broad range of capabilities, including axis management with linear, logarithmic, and uniform scales, and interactive navigation via zooming, panning, and synchronized cursors across multiple linked views. It provides systems for dynamic data streaming with sliding-window buffering and tools for managing missing data and timezone-aware processing. Additional functionality includes stacked chart aggregation and the ability to export visualizations into static image formats.
Features
- Time-Series Visualizers - Implements a high-performance canvas engine specifically for rendering large, interactive time-series datasets.
- Immediate Mode Canvas Renderers - Utilizes an immediate mode canvas renderer to draw chart elements directly to a buffer for maximum frame rates.
- High-Performance Visualizers - Renders millions of data points at high frame rates using a performance-optimized canvas engine.
- Data Path Styles - Draws data series using various visual styles such as linear lines, cubic splines, and stepped transitions.
- Real-Time Charting Engines - Optimizes the rendering engine for displaying high-frequency data streams in real-time without pixel jitter.
- Real-time Visualizations - Supports real-time data streaming with sliding-window buffering for live visualization of continuous data feeds.
- Chart Visualization Plugins - Provides a plugin-based architecture that enables the integration of custom renderers for specialized chart types.
- Custom Renderers - Allows developers to extend the core engine with custom renderers for specialized visuals like heatmaps and box plots.
- Data-to-Pixel Coordinate Transforms - Implements fast mathematical transforms to map raw data coordinates directly to screen pixel positions.
- Financial Charting - Provides specialized financial visualizations including OHLC charts and bars for market data analysis.
- Plugin-Based Visualization Architecture - Provides a modular architecture that allows external renderer functions to hook into the drawing cycle for custom visuals.
- Axis Scaling Engines - Provides a configurable system for managing axis scaling, tick generation, and label positioning across linear, logarithmic, and time-based scales.
- Axis Scaling Transformations - Applies mathematical transformations to axes and supports rotation, inversion, and manual dragging for customized views.
- HTML5 Canvas Charting Libraries - A specialized charting library that leverages the HTML5 Canvas API for high-performance temporal data visualization.
- Custom Plotting Integrations - Allows the integration of custom plotting functions to create specialized visualizations like heatmaps and box-and-whisker plots.
- Interactive Time-Series Explorers - Includes interactive navigation tools such as zooming, panning, and synchronized cursors for temporal data exploration.
- Error Bands - Renders shaded area bands between data series to visualize uncertainty, ranges, or high-low-average bands.
- Stream Sliding Window Caches - Maintains an in-memory sliding window of the most recent observations to update visuals in real-time as streams arrive.
- Plot Pan and Zoom Controls - Implements interactive magnification and spatial navigation to explore large temporal datasets.
- Chart Cursor Synchronizations - Shares a normalized cursor position across multiple chart instances to highlight identical data points simultaneously.
- Chart Synchronization - Links axes, cursor focus, and zoom levels across multiple chart instances to maintain a consistent view of shared data.
- Stacked Charts - Provides the ability to aggregate multiple data series into stacked line, area, or bar charts.
- Charts and Visualization - High-performance canvas-based charting for time-series data.
- Charting Libraries - Extremely fast and lightweight time series charting.
