SeasonalDecomp

Decompose time series into trend, seasonal, and residual components interactively

Data & AnalyticsFreemium

SeasonalDecomp provides interactive time series decomposition using STL, X-13ARIMA-SEATS, and MSTL methods with visual controls for adjusting seasonal periods, trend smoothing bandwidth, and robustness weights. The tool detects multiple overlapping seasonal patterns and structural breaks automatically, and exports decomposed components for downstream forecasting. Analysts use it to understand the underlying dynamics of business metrics before building forecasting models.

Key Features

• ✓STL/X-13/MSTL methods
• ✓Multiple seasonal period detection
• ✓Structural break identification
• ✓Interactive parameter tuning
• ✓Component export for forecasting