leeoniya/uPlot
UPlot
uPlot este o bibliotecă de charting de serii temporale pe canvas de înaltă performanță, concepută pentru a randa milioane de puncte de date cu rate de cadre ridicate. Acesta funcționează ca un vizualizator de date de înaltă frecvență și un plotter de fluxuri de date în timp real, utilizând API-ul HTML5 Canvas pentru a menține responsivitatea atunci când plotează seturi de date temporale mari.
Proiectul se distinge ca un framework de vizualizare bazat pe plugin-uri care permite randatoarelor personalizate să creeze vizualuri specializate, cum ar fi hărți termice (heatmaps) și diagrame box-and-whisker. De asemenea, servește ca un instrument interactiv de charting financiar, suportând în mod specific grafice OHLC, bare și benzi de arie.
Biblioteca acoperă o gamă largă de capabilități, inclusiv gestionarea axelor cu scale liniare, logaritmice și uniforme, și navigarea interactivă prin zoom, pan și cursoare sincronizate pe mai multe vizualizări legate. Oferă sisteme pentru streaming-ul dinamic de date cu buffering de tip sliding-window și instrumente pentru gestionarea datelor lipsă și procesarea conștientă de fusul orar. Funcționalitatea suplimentară include agregarea graficelor stivuite și capacitatea de a exporta vizualizările în formate de imagine statice.
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.
