britecharts/britecharts
Britecharts
Britecharts is an SVG data visualization toolkit and D3.js charting library. It functions as a composable visualization framework and interactive charting interface used to render data-driven graphics.
The library provides a variety of chart types, including line, bar, scatter, donut, sparkline, step, and bullet charts, as well as stacked area and grouped bar charts. It supports interactive elements such as brush interfaces for zooming into date ranges and informational tooltips for data overlays.
The framework includes capabilities for visual configuration, such as axis scaling, color scheme management with gradients, and the rendering of legends and annotations. It also features data management utilities for sorting datasets and a mechanism to export rendered SVG charts as PNG images.
Features
- SVG-Based Vector Rendering - Utilizes Scalable Vector Graphics to render all chart elements for resolution independence and CSS styling.
- D3.js Implementations - Provides a comprehensive collection of reusable charting components built specifically with D3.js.
- Bar Charts - Provides configurable bar charts with support for horizontal orientation, gradients, and animations.
- Data Visualization Charts - Offers a composable framework for rendering a wide variety of graphical representations of data.
- Modular Visual Assemblies - Implements a modular system for assembling complex visualizations by combining independent visual elements like axes and legends.
- SVG Data Visualization - Offers a toolkit for programmatically generating interactive vector graphics for various data representation needs.
- Scale-Based Bindings - Maps raw datasets to SVG element positions and sizes using D3 scales.
- Line Charts - Generates multi-line visualizations to represent data trends within specified containers.
- Interactive Chart Components - Ships reusable chart components with built-in support for event handling, tooltips, and interactive brushing.
- Stacked and Grouped Bar Plots - Provides grouped bar charts to visualize multi-grouped data with configurable spacing and labels.
- Scatter Charts - Implements scatter plots with support for trendlines, zoom controls, and interactive crosshairs.
- Informational Tooltips - Provides informational overlays for line and area charts that display data values and labels on hover.
- Bullet Chart Renderers - Renders bullet charts to represent a primary measure against target values and qualitative ranges.
- Styling Configurations - Uses a centralized options object to define visual properties like color palettes and dimensions.
- Axis Configurations - Provides configuration options for defining axis value types and supporting linear or logarithmic scales.
- Chart Element Interactions - Implements a mechanism for responding to user mouse movements, hovers, and click events on chart elements.
- Chart Legends - Includes a configurable legend element to identify data series using custom colors and labels.
- Color Schemes - Enables the application of visual themes using predefined palettes or custom hexadecimal color arrays.
- Donut Charts - Provides circular donut charts with customizable radii, colors, and animations.
- Stacked Area Charts - Implements multi-area charts that stack data series to visualize cumulative totals over time.
- Stacked Bar Charts - Provides multi-bar charts with configurable dimensions and orientation to visualize stacked data sets.
- Range Brushes - Implements interactive brush interfaces that allow users to select and zoom into specific date ranges.
- Sparkline Charts - Provides compact sparkline charts designed to visualize data trends within a small spatial footprint.
- Step Charts - Renders data as a series of horizontal and vertical steps for visualizing discrete changes.
- Chart Appearance Customizers - Provides controls for adjusting chart dimensions, margins, and visual properties to modify layout and behavior.
- User Event Callbacks - Allows external application logic to be triggered by browser mouse events on chart elements.
- Chart Libraries - Client-side reusable charting library with a focus on simplicity.
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.
