Get Started with forecast

Time series forecasting using ARIMA, ETS, STLM, TBATS, and neural network models.

Getting Started

The forecast team maintains comprehensive docs that cover installation, configuration, and common patterns.

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Our full tool profile covers forecast's strengths, weaknesses, pricing, and how it compares to alternatives.

Researchers needing to forecast time series with complex seasonality patterns using TBATS models

Developers who require automatic ARIMA model fitting for quick and accurate predictions

Teams working on financial forecasting projects that benefit from STL decomposition