Prophet is a predictive analytics framework and time series regression library designed for forecasting future values. It uses additive models to fit non-linear growth and periodic seasonal patterns, providing tools for producing forecasts with integrated error measurement.
The project handles multiple seasonalities and holiday effects to improve accuracy for periodic data. It supports the integration of external regressors and manages data irregularities, such as missing data and outliers, to maintain prediction stability.
The framework covers a broad range of analysis capabilities, including predictive trend modeling and business cycle analysis. It includes tools for demand planning workflows and historical cross-validation to evaluate forecast accuracy through quantitative error metrics.
