Time Series Decomposer

Extract trend, seasonal, and residual components from time series data with visualization and basic forecasting.

Features

• Decomposition: Additive and multiplicative models
• Trend Extraction: Moving averages, polynomial fitting
• Seasonality Detection: Auto-detect and extract periodic patterns
• Residual Analysis: Identify anomalies in residuals
• Visualization: Component plots, ACF/PACF
• Basic Forecasting: Trend extrapolation, seasonal naive

Quick Start

from ts_decomposer import TimeSeriesDecomposer