I developed and distributed Fluid.js via NPM, an open-source library that cleanly wraps an existing high-performance WebGL fluid simulation and extends its core functionality through intuitive, developer-friendly APIs. The library exposed complex graphics programming parameters with accessible methods without degrading the underlying simulation's frame rate or visual fidelity. The repository was ultimately used by hundreds of hobbyist and was notably adopted by Google's Tensor team, who leveraged the library's APIs to map computer vision nodes to a live hand-tracking fluid simulation experiment.