gsap

Build GSAP timeline animations by using deterministic timeline construction with labels and position control instead of chained delays. This ensures cleaner sequencing, compositor-friendly transforms, and precise playback control for HyperFrames motion designs.

Sync GSAP audio visualizers by preparing synchronous audio-data before animation. This requires processing dependencies like ffmpeg and numpy to extract audio data, enabling deterministic timeline construction for beat-synced visual experiences in HyperFrames.

You need numpy and ffmpeg to prepare synchronous audio-data for audio-driven GSAP motion. These dependencies handle audio processing, allowing the animation timeline to accurately sync with the audio visualizer in HyperFrames.

Write text reveal and typewriter effects using drop-in GSAP patterns. These reusable effect patterns rely on core tween methods, easing, and camelCase properties to create polished entrance animations within HyperFrames compositions.

Use GSAP timeline labels instead of chained delays because they provide precise position control and nesting capabilities. This method guarantees deterministic timeline construction, resulting in cleaner sequencing and easier playback control for complex animations.

Performance guidelines for GSAP transforms require using compositor-friendly transforms and camelCase properties. Following these cleanup and performance patterns ensures responsive motion that integrates smoothly without dropping frames in HyperFrames.