epochjs/epoch
Epoch
Epoch is a CSS-stylable charting engine and visualization library designed for real-time and statistical data. It functions as a timeseries charting tool that renders historical and live data using a hybrid of SVG and HTML5 Canvas graphics to maintain performance during frequent updates.
The library distinguishes itself through a unified CSS querying system that applies styles to both vector and raster plot elements. This allows for visual theme resolution via CSS classes and the ability to customize the appearance of specific data series using stylesheets.
The toolset covers a broad range of visualization types, including line, area, bar, and heatmap charts for trend analysis, as well as gauges, pie charts, and grouped bars for dashboards. It also provides capabilities for statistical exploration through scatter plots and histograms that use discrete bucket grouping and color blending to show data concentration.
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.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
