leeoniya/uPlot

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.

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