llm orchestrationQuick Start ↓
Get Started with forecast
Time series forecasting using ARIMA, ETS, STLM, TBATS, and neural network models.
Getting Started
1
Read the official documentation
The forecast team maintains comprehensive docs that cover installation, configuration, and common patterns.
Open forecast Docs↗2
Create an account
Visit the forecast website to create your account and explore pricing options.
Visit forecast↗3
Review strengths, tradeoffs, and alternatives
Our full tool profile covers forecast's strengths, weaknesses, pricing, and how it compares to alternatives.
View full profile→Best For
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