A web component for embedding and playing Lottie animations and Telegram Sticker (tgs) animations in websites.
Lottie-player is a Web Component that allows developers to easily embed and play Lottie animations and Telegram Sticker (tgs) animations on websites. It provides a simple HTML tag interface with full playback controls, eliminating the need for complex animation integration code. The component supports both Lottie JSON files and tgs formats, making it versatile for various animation needs.
Frontend developers and designers who need to integrate vector-based animations into web applications using modern frameworks like React, Vue, or vanilla JavaScript.
Developers choose lottie-player for its simplicity as a standards-based Web Component, its support for both Lottie and Telegram Sticker formats, and its seamless integration across popular JavaScript frameworks without heavy dependencies.
Lottie viewer/player as an easy to use web component! https://lottiefiles.com/web-player
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Uses declarative HTML tags like <lottie-player> with attributes such as src, autoplay, and controls, allowing embedding without complex JavaScript, as shown in the basic usage examples.
Includes a dedicated <tgs-player> element for playing Telegram's tgs format, expanding animation options beyond standard Lottie JSON files.
Works with React, Vue, Nuxt, Next.js, and TypeScript through straightforward imports and client-side configuration, documented in the README for each framework.
Supports modes (normal, bounce), speed adjustment, and debugging via element attributes, providing fine-grained control over animation behavior.
For server-side rendering frameworks like Nuxt and Next.js, lottie-player requires client-only loading and manual setup (e.g., useEffect in Next.js), adding configuration overhead.
TypeScript projects must declare JSX intrinsic elements in a declaration.d.ts file, an extra step that can be error-prone and isn't needed for most other components.
As a Web Component, it may have higher runtime overhead compared to lightweight alternatives like jLottie, which is mentioned in the README for better performance in some scenarios.