npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@xeokit/xeokit-sdk

v2.6.10

Published

Web Programming Toolkit for 3D/2D BIM and AEC Graphics

Downloads

14,410

Readme

xeokit-sdk

npm version CodeSee

xeokit is a JavaScript software development kit created by xeolabs for viewing high-detail, full-precision 3D engineering and BIM models in the browser.

Resources

Installing

npm i @xeokit/xeokit-sdk

Usage

The xeokit SDK lets us develop our own browser-based BIM viewer, which we can fully customize and extend with plugins. Let's create a Viewer with a WebIFCLoaderPlugin to view a IFC model in the browser, then view a sample IFC model from the Open IFC Model Database.

This is just one way to load our models into xeokit. We can also load multiple models from other formats, including CityJSON, glTF, LAZ and OBJ, as well as xeokit's own native highly-compressed XKT format, which we can pre-convert offline from other formats.

<!doctype html>
<html>
<head>
    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>xeokit Example</title>
    <style>
        body {
            margin: 0;
            width: 100%;
            height: 100%;
            user-select: none;
        }

        #xeokit_canvas {
            width: 100%;
            height: 100%;
            position: absolute;
            background: lightblue;
            background-image: linear-gradient(lightblue, white);
        }
    </style>
</head>
<body>
<canvas id="xeokit_canvas"></canvas>
</body>
<script id="source" type="module">

    import {WebIFCLoaderPlugin, Viewer} from
                    "https://cdn.jsdelivr.net/npm/@xeokit/xeokit-sdk/dist/xeokit-sdk.es.min.js";
    import * as WebIFC from "https://cdn.jsdelivr.net/npm/[email protected]/web-ifc-api.js";
    const viewer = new Viewer({
        canvasId: "xeokit_canvas",
        transparent: true,
        dtxEnabled: true
    });

    viewer.camera.eye = [-3.933, 2.855, 27.018];
    viewer.camera.look = [4.400, 3.724, 8.899];
    viewer.camera.up = [-0.018, 0.999, 0.039];

    const IfcAPI = new WebIFC.IfcAPI();
    IfcAPI.SetWasmPath("https://cdn.jsdelivr.net/npm/[email protected]/");

    IfcAPI.Init().then(() => {
        const ifcLoader = new WebIFCLoaderPlugin(viewer, {
            WebIFC,
            IfcAPI
        });

        const model = ifcLoader.load({
            src: "Duplex.ifc",
            edges: true
        });
    });
</script>
</html>