Data visualization library for React
REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability.
Checkout Unify Viz, our premium offering 300+ Figma and React professionally designed data visualization components. Learn more →
If you are looking for workflow/diagram graphs, checkout reaflow.
If you are looking for webgl-based network graphs, checkout reagraph.
Chart types include:
Additional features:
To use reaviz in your project, install it via npm/yarn:
npm i reaviz --save
then import a chart type into your JSX element:
import { BarChart } from 'reaviz';
const data = [
{ key: 'IDS', data: 14 },
{ key: 'Malware', data: 5 },
{ key: 'DLP', data: 18 }
];
const App = () => <BarChart width={350} height={250} data={data} />;
Checkout this demo live or visit the demos page to learn more!
If you want to run REAVIZ locally, its super easy!
npm inpm startThanks to all our contributors!
15.3.0 - 12/19/23
FAQs
Data Visualization using React
The npm package reaviz receives a total of 6,357 weekly downloads. As such, reaviz popularity was classified as popular.
We found that reaviz 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
A malicious npm package disguised as a WhatsApp client is exploiting authentication flows with a remote kill switch to exfiltrate data and destroy files.
Security News
PyPI now supports digital attestations, enhancing security and trust by allowing package maintainers to verify the authenticity of Python packages.
Security News
GitHub removed 27 malicious pull requests attempting to inject harmful code across multiple open source repositories, in another round of low-effort attacks.