LayerJS
layerJS is an open-source JavaScript library for creating responsive data visualization layers and dashboards. It allows developers to easily create interactive visualizations that adapt to different screen sizes and devices.
javascript
data-visualization
dashboards
charts
open-source
layerJS: Open-Source JavaScript Library for Responsive Data Visualization
An open-source JavaScript library for creating responsive data visualization layers and dashboards, adaptable to various screen sizes and devices.
What is LayerJS?
layerJS is an open-source JavaScript data visualization library for building responsive dashboard layers and data stories. It provides a flexible framework and components for creating interactive data visualizations that automatically adapt across device sizes and screen resolutions.
Some key features of layerJS include:
- Responsive layout system for creating visualization layers that reflow for desktop, tablet and mobile displays
- Components like charts, tables, filters and text that resize and adapt based on available space
- Controls for building interactive dashboards with filtering, cross highlighting and more
- Animated transitions between views and layout changes
- Support for custom visualizations and themes
- Integration with popular data sources and JavaScript frameworks
layerJS aims to make scalable, interactive data visualization simple for web developers. Its responsive engine handles adapting graphics across screen sizes while providing a suite of customizable components tailored for data viz. By handling much of the complexity behind responsive behaviors and interactions, layerJS allows developers to focus on building great visualization experiences.
LayerJS Features
Features
- Client-side data visualization library
- Supports various chart types like line, bar, pie, etc
- Responsive and adaptive layouts
- Touch and gesture support
- Customizable themes
- Tooltip and popovers
- Animation and transitions
Pricing
- Open Source
Pros
Open source and free to use
Lightweight and easy to integrate
Good documentation and examples
Active community support
Works across devices and screen sizes
Highly customizable and extensible
Cons
Less chart types compared to some commercial libraries
Steeper learning curve than simple wrapper libraries
Not optimized for very large datasets
Limited support for old browsers
Official Links
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