Results for: three.js

Three.js is a JavaScript 3D library. The aim of the project is to create an easy-to-use, lightweight, cross-browser, general-purpose 3D library. The current builds only include a WebGL renderer but WebGPU (experimental), SVG and CSS3D renderers are also available in the examples. To actually be able to display anything with three.js, we need three things, scene, camera, and renderer, so that we can render the scene with the camera.

...One-click host your 3D experience using AWS Amplify to deploy your scenes anywhere. Sumerian Hosts are available open source on GitHub for easy integration with your Babylon.js and Three.js applications. Easily create and embed 3D scenes into new or existing web pages with Babylon.js.

...With Clara.io you can make complex 3D models, create beautiful photorealistic renderings, and share them without installing any software programs. This is the perfect Three.JS or Babylon.JS editor for creating and tweaking your web game content. Huge photorealistic material library. Easy advanced materials. Flexible lighting setups. Blazing speed. Simultaneous multi-user editing. Always on versioning. Per-user permissions. Review tools. Familiar UI. Responsive workflows. Undo/redo. Drag/drop. Context menus everywhere. ...

...Electron is a framework for creating native applications with web technologies like JavaScript, HTML, and CSS. It takes care of the hard parts so you can focus on the core of your application. Electron uses Chromium and Node.js so you can build your app with HTML, CSS, and JavaScript. Electron is an open-source project maintained by the OpenJS Foundation and an active community of contributors. Compatible with Mac, Windows, and Linux, Electron apps build and run on three platforms. To get started with Electron, check out the resources available. Learn how to wrap your web app with Electron, access all the APIs, and generate installers. ...

...Storage scaling, query execution, and backup layers are fully automated. The compatibility of the service API in serverless mode allows you to use the AWS SDKs for Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is hosted in three availability zones, ensuring availability even if a node or availability zone goes offline. If equipment or a data center fails, the system automatically recovers and continues working. YDB is tailored to meet high-performance requirements and can process hundreds of thousands of transactions per second with low latency. ...

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...The graph visualization brings deep insights in industries, such as scientific research, anti-fraud investigation, etc. Users with very little graph theory knowledge can start to explore the data in no time. Graph rendering is done with the Cytoscape.js library which allows us to render tens of thousands of nodes and hundreds of thousands of relationships. The application is provided in three ways: Desktop, Cloud, and Server. Graphlytic Desktop is a free Neo4j Desktop application installed in just a few clicks. Cloud instances are ideal for small teams that don't want to worry about the installation and need to get up and running in very little time.

...But A-Frame is not just a 3D scene graph or a markup language; the core is a powerful entity-component framework that provides a declarative, extensible, and composable structure to three.js. Originally conceived within Mozilla and now maintained by the co-creators of A-Frame within Supermedium, A-Frame was developed to be an easy yet powerful way to develop VR content. As an independent open source project, A-Frame has grown to be one of the largest VR communities.

...Finally, the platform also allows users to share their 3D models with other users. View 3D STL files directly in your browser, no software installation is required. We use three.js library, with HTML5 and some good old javascript. We upload nothing to our server. All is done locally on your own computer. You can now easily display 3D files directly in your own website. You can also communicate/alter the model within your page at runtime.

...Depthify.ai can be used to convert .jpg or .png images or .mp4 or .mov videos into a variety of downstream spatial formats. It first converts from the RGB image to a depth map using a monocular depth estimation network. You can then visualize that depth network in a three.js viewer where we project the image onto a 3D mesh.