Darts
The scikit-learn of Time Series: A unified Python library for forecasting and anomaly detection.
Development
Open Source
View Pricing
Time Series Forecasting
Anomaly Detection
Backtesting
Prophet
4.6
Free Prophet is highly regarded for its ease of use and ability to generate reasonable forecasts with minimal manual effort, though it may not be suitable for all types of time series data.
A procedure for forecasting time series data based on an additive model.
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Refined 2/28/2026
About Prophet
Prophet is an open-source forecasting tool developed by Facebook's Core Data Science team, implemented in R and Python. It utilizes an additive model to forecast time series data, decomposing it into trend, seasonality (yearly, weekly, daily), and holiday effects. Prophet is designed to handle time series with strong seasonal effects and several seasons of historical data, demonstrating robustness to missing data, trend shifts, and outliers. The models are fit in Stan, allowing for fast forecast generation, typically within seconds. It offers automated forecasts that can be fine-tuned with domain knowledge through human-interpretable parameters, making it suitable for applications requiring reliable forecasts for planning and goal setting across various industries. Its architecture allows easy integration with existing data science workflows.
Core Capabilities
Prophet is an open-source forecasting tool developed by Facebook's Core Data Science team, implemented in R and Python.
Main Tasks
Trend Analysis
Explore all tools that specialize in trend analysis. This domain focus ensures Prophet delivers optimized results for this specific requirement.
