leeoniya/uPlot
UPlot
uPlot 是一个高性能 Canvas 时间序列图表库，旨在以高帧率渲染数百万个数据点。它作为一个高频数据可视化工具和实时数据流绘图仪，利用 HTML5 Canvas API 在绘制大型时间数据集时保持响应性。
该项目的独特之处在于其基于插件的可视化框架，允许自定义渲染器创建专门的视觉效果，如热力图和箱线图。它还作为一个交互式金融图表工具，专门支持 OHLC 图表、柱状图和面积带。
该库涵盖了广泛的功能，包括具有线性、对数和均匀刻度的轴管理，以及通过缩放、平移和跨多个链接视图的同步光标进行的交互式导航。它提供了用于动态数据流式传输的滑动窗口缓冲系统，以及用于管理缺失数据和时区感知处理的工具。附加功能包括堆叠图表聚合以及将可视化导出为静态图像格式的能力。
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.
