# asap-rs ![License](https://img.shields.io/badge/License-MIT-blue.svg) A Rust implementation of ASAP (Automatic Smoothing for Attention Prioritization), based on the paper "ASAP: Prioritizing Attention via Time Series Smoothing" learn more: [source paper & js code: ](https://github.com/stanford-futuredata/ASAP) This project provides a high-performance Rust implementation of the ASAP algorithm for time series smoothing. It aims to efficiently reduce noise in time series data while preserving significant trends, optimized for visualization purposes. ### Usage ```rust use asap_rs::smooth; fn main() { // Example data let data = [1.0, 3.2, 2.0, 3.0, 4.0, 5.0, 4.0, 3.0, 2.0, 1.0]; let resolution = 2; let smoothed_data = smooth(&data, resolution); } ``` ### Rust vs JS Performance ```diff - Rust: 1.4776ms + JS: 8.96ms Data size: 500000 Smoothed size: 25 Original mean: 2499.97 Smoothed mean: 2499.97 ```