epochjs/epoch
Epoch
Epoch es un motor de gráficos con estilo CSS y una biblioteca de visualización diseñada para datos en tiempo real y estadísticos. Funciona como una herramienta de gráficos de series temporales que renderiza datos históricos y en vivo utilizando un híbrido de gráficos SVG y HTML5 Canvas para mantener el rendimiento durante actualizaciones frecuentes.
La biblioteca se distingue por un sistema de consulta CSS unificado que aplica estilos tanto a elementos de trazado vectoriales como rasterizados. Esto permite la resolución de temas visuales a través de clases CSS y la capacidad de personalizar la apariencia de series de datos específicas utilizando hojas de estilo.
El conjunto de herramientas cubre una amplia gama de tipos de visualización, incluyendo gráficos de líneas, áreas, barras y mapas de calor para el análisis de tendencias, así como medidores, gráficos circulares y barras agrupadas para paneles. También proporciona capacidades para la exploración estadística a través de diagramas de dispersión e histogramas que utilizan agrupación de cubetas discretas y mezcla de colores para mostrar la concentración de datos.
Features
- Real-time Visualizations - Renders frequently updating live data streams using a hybrid vector-raster engine for high performance.
- Chart Component Stylings - Uses a unified CSS querying system to apply visual styles to chart components, including both vector and raster elements.
- Charts and Visualization - Serves as a comprehensive tool for rendering historical and live timeseries data using multiple chart formats.
- Time-Series Visualizers - Generates historical reports and real-time line or area charts to visualize time-indexed data.
- Multi-Series Overlays - Tracks multiple independent data series over time using overlaid line, area, or stacked bar charts.
- Timeseries Visualizations - Renders historical and real-time timeseries data using a variety of chart types to track changes over time.
- Real-time Visualization Libraries - Provides a high-performance library for rendering frequently updating data streams using hybrid SVG and Canvas graphics.
- Time Series Renderers - Projects chronological data points onto a linear axis to render evolving trends as lines and areas.
- Raster-Vector Hybrid Pipelines - Combines SVG for structural elements and HTML5 Canvas for high-frequency data points to optimize rendering performance.
- Trend Analysis - Tracks shifts in metric values over time using historical and live data visualizations.
- CSS-Driven Styling Engines - Implements a styling engine that applies visual rules to plot elements using cascading stylesheet syntax.
- Visual Data Exploration - Offers scatter plots and histograms with discrete bucket grouping to explore statistical correlations and data concentrations.
- Stacked and Grouped Bar Plots - Displays data by group over a discrete domain using multi-series grouped and stacked bar formats.
- Statistical Plotting Libraries - Includes specialized statistical plotting tools such as histograms and scatter plots for analyzing data patterns.
- Histogram Plotters - Plots numerical values into bins using color blending to visualize data frequency and concentration.
- Chart Configuration Updates - Allows modification of structural elements and settings of an active chart instance based on user input.
- Concentration Visualizations - Visualizes normalized data concentration over time using discrete buckets and color blending.
- Scatter Plot Rendering - Plots groups of X/Y points to reveal statistical correlations and sampling patterns between variables.
- Individual Series Customizations - Overrides default visual properties of specific data series by targeting CSS classes derived from series labels.
- Chart Color Theming - Changes the overall chart color palette and appearance by assigning predefined theme classes to containers.
- Line Charts - Implements line charts to represent data trends and track changes across single or multi-series datasets.
- Stacked Area Charts - Provides stacked area charts to visualize how individual data series contribute to a cumulative total over time.
- Interactive Dashboards - Provides the building blocks for interactive dashboards including gauges, pie charts, and grouped bar charts.
- CSS Class-Based Styling - Allows propagating color palettes and aesthetic styles across chart components using semantic CSS class names.
- Chart Appearance Customizers - Allows detailed customization of chart appearance and themes through a unified CSS-based styling engine.
- Data Visualization - General-purpose real-time charting.
- Charting Libraries - Specialized library for creating real-time data visualizations.
- Game Engines - General-purpose real-time charting library.
- JavaScript Charting - Specialized library for creating real-time data visualizations.
- JavaScript Charting Libraries - Specialized library for creating real-time data visualizations.
