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AI-enhanced data visualization library for effortless and insightful visualizations.
AI-enhanced data visualization library that simplifies creating interactive and meaningful charts by leveraging AI-suggested visualizations and themes tailored to industries.
To use VizGenie, install it via npm:
npm install vizgenie
import { renderChart } from 'vizgenie';
const data = [
{ category: "A", value: 10 },
{ category: "B", value: 20 },
{ category: "C", value: 15 }
];
// Create a canvas element in your HTML
const canvas = document.getElementById('myChart');
// Render a chart
renderChart(canvas, data);
2. Using Predefined Themes
import { renderChart } from 'vizgenie';
import { applyTheme } from 'vizgenie';
const data = [
{ category: "A", value: 30 },
{ category: "B", value: 50 },
{ category: "C", value: 20 }
];
// Create a container and canvas in your HTML
const container = document.getElementById('chart-container');
const canvas = document.getElementById('myChart');
// Apply a predefined theme (e.g., 'finance')
applyTheme(container, 'finance');
// Render the chart with themed styling
renderChart(canvas, data);
3. Customizing Visualization Libraries
VizGenie supports multiple charting libraries. Here’s how to use Chart.js:
import { ChartJSRenderer } from 'vizgenie/visualizers';
// Sample data
const data = [
{ label: "Sales", value: 100 },
{ label: "Revenue", value: 80 }
];
// Configure Chart.js-specific options
const chartOptions = {
type: 'bar',
data: {
labels: data.map(item => item.label),
datasets: [{
label: 'Business Metrics',
data: data.map(item => item.value),
backgroundColor: ['#007BFF', '#28A745']
}]
}
};
// Create a canvas element in your HTML
const canvas = document.getElementById('myChart');
// Render with Chart.js renderer
ChartJSRenderer(canvas, chartOptions);
renderChart(canvas, data, options)
Description: Renders a chart using the default library (Chart.js).
canvas (HTMLCanvasElement): The canvas element where the chart will render. data (Array): Array of objects with category and value fields. options (Object, optional): Chart customization options. applyTheme(container, themeName) Description: Applies a predefined theme to a chart container.
container (HTMLElement): The element to apply the theme to. themeName (string): Available themes are finance, healthcare, and retail. ChartJSRenderer(canvas, config) Description: Custom renderer for Chart.js. Parameters: canvas (HTMLCanvasElement): The canvas element to render the chart in. config (Object): A valid Chart.js configuration object.
We welcome contributions! To get started:
Chart Not Rendering: Ensure you’ve installed chart.js as a peer dependency. Example:
npm install chart.js
Ensure the container is a valid HTMLElement.
Contact Author: Kunal Khare GitHub: https://github.com/kunaldevxxx Email: kunalkhare2004@gmail.com
FAQs
AI-enhanced data visualization library for effortless and insightful visualizations.
The npm package vizgenie receives a total of 0 weekly downloads. As such, vizgenie popularity was classified as not popular.
We found that vizgenie demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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