Layerchart screenshot

Layerchart

Author Avatar Theme by Techniq
Updated: 18 May 2025
888 Stars

Composable Svelte chart components to build a large variety of visualizations

Overview:

The LayerChartnpm is a comprehensive collection of composable Svelte chart components designed to create a diverse range of visualizations. With a focus on versatility and interactivity, this library includes various types of charts such as Cartesian, Radial, Hierarchy, Graph, and Geo along with interactive features like Tooltip, Highlights, and Pan/Zoom. Additionally, the library offers a range of SVG components, gradients, patterns, legends, and more for enhanced data visualization capabilities.

Features:

  • Composable Components: Build a wide range of visualizations using Cartesian, Radial, Hierarchy, Graph, and Geo chart components.
  • Interactive Features: Include interactions like Tooltip, Highlights, and Pan/Zoom for enhanced user engagement.
  • SVG Elements: Access a variety of SVG components such as Arc, Circle, Line, Spline, Text along with gradients and patterns.
  • Legends: Easily add legends including ColorRamps to improve data interpretation.
  • Compatibility: Works seamlessly with the companion library Svelte UX for highly interactive applications.

Installation:

To install the LayerChartnpm theme, follow these steps:

  1. Install dependencies:
npm install layerchart
  1. Run dev server for layerchart package:
npm run dev layerchart
  1. Add changeset to include changes in the changelog and determine the next version:
npm run changeset

Summary:

The LayerChartnpm provides a robust collection of Svelte chart components tailored to create diverse and interactive visualizations. With its wide array of features including various chart types, interactive elements, SVG components, and legends, this library equips developers with the tools needed to build engaging and informative data visualizations. By integrating seamlessly with the Svelte UX library, developers can further enhance the interactivity of their applications, making LayerChartnpm a valuable resource for those looking to build dynamic and visually appealing data-driven solutions.