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Description

Kibo UI is an innovative registry of customizable, accessible, and open-source components intended for integration with shadcn/ui. Utilizing cutting-edge technologies such as React, TypeScript, Tailwind CSS, Lucide, and Radix UI, Kibo UI equips developers with a comprehensive collection of functional and fully composable components that can be tailored and enhanced to meet individual project requirements. The catalog features a diverse range of components, including a color picker, image zoom functionality, a QR code generator, code blocks that support syntax highlighting and copy-to-clipboard capabilities, along with a dropzone for seamless drag-and-drop file uploads. Furthermore, Kibo UI offers precomposed and animated blocks that enable developers to launch their applications and websites swiftly; notable examples are an AI chatbot interface and a collaborative canvas designed for synchronous online teamwork. To further facilitate the development process, it includes a pricing page template that clearly outlines various plans and features, promoting both simplicity and transparency in presentation. Overall, Kibo UI is a valuable tool for developers seeking to enhance their projects with high-quality components while ensuring a user-friendly experience.

Description

Develop interconnected components that produce and manipulate data by utilizing a multi-modal language model to carry out commands, envisioning an endless platform for natural language processing. Assemble and link various components together. Execute a component to generate data outputs. Design workflows that include branches and loops for enhanced functionality. Begin with a sample project; simply click on an example to initiate a new project featuring a ready-made workflow. You have the option to modify this project, thus creating a new version saved in your account. This innovative initiative called "Computer" is brought to you by the creators of tldraw, who are also responsible for the tldraw SDK tailored for infinite canvas applications, alongside the widely-used collaborative whiteboard at tldraw.com. This project aims to push the boundaries of how we interact with data and visual creation.