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Augurs demo
is a time series analysis library for Rust with bindings for JavaScript. It provides a set of tools for analyzing time series data, including clustering, outlier detection, forecasting, and changepoint detection.
augurs contains several forecasting algorithms, including MSTL, which is a seasonal-trend decomposition procedure for modelling multiple seasonalities, based on LOESS. augurs also contains an implementation of the Prophet forecasting algorithm, which is a decomposable time series model with three main components: trend, seasonality, and holidays. augurs also exposes functionality from the excellent changepoint crate, which provides a Bayesian approach to detecting changepoints in time series data.
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