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Jupyter MCP Server

by datalayer
HomepageFeatures.js1.59 kB
/* * Copyright (c) 2023-2024 Datalayer, Inc. * * BSD 3-Clause License */ import React from 'react'; import clsx from 'clsx'; import styles from './HomepageFeatures.module.css'; const FeatureList = [ /* { title: 'Easy to Use', Svg: require('../../static/img/feature_1.svg').default, description: ( <> Datalayer was designed from the ground up to be easily installed and used to get your data analysis up and running quickly. </> ), }, { title: 'Focus on What Matters', Svg: require('../../static/img/feature_2.svg').default, description: ( <> Datalayer lets you focus on your work, and we&apos;ll do the chores. </> ), }, { title: 'Powered by Open Source', Svg: require('../../static/img/feature_3.svg').default, description: ( <> Extend or customize your platform to your needs. </> ), }, */ ]; function Feature({Svg, title, description}) { return ( <div className={clsx('col col--4')}> <div className="text--center"> <Svg className={styles.featureSvg} alt={title} /> </div> <div className="text--center padding-horiz--md"> <h3>{title}</h3> <p>{description}</p> </div> </div> ); } export default function HomepageFeatures() { return ( <section className={styles.features}> <div className="container"> <div className="row"> {FeatureList.map((props, idx) => ( <Feature key={idx} {...props} /> ))} </div> </div> </section> ); }

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