This is a JavaScript implementation of the Savitzky-Golay method for smoothing and differentiating data through least-squares polynomial fitting. It provides a generalized approach that handles edge cases without inventing data points, making it suitable for signal processing tasks where accurate derivatives or smoothed data are needed. The library is designed for developers working with scientific computing, data analysis, or signal processing in JavaScript environments who need to filter noisy data or compute derivatives from discrete measurements.