A flexible, intuitive and fast forecasting library.




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Easy to start

Forecasting takes only a few lines of code. Start by picking an algorithm and parameter template to run through our forecast pipeline.

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Fast algorithm

The flagship algorithm, Silverkite, runs fast to facilitate interactive prototyping, grid search, and benchmarking.

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Flexible design

Silverkite provides regressors for trend, seasonality, and much more. You may add your own features and fit the machine learning model of your choice.

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Interpretable approach

For trusted decision-making and tuning. Changepoint detection and exploratory plots build intuition; component plots and R-like model summaries explain results.