Darts is a Python library for user-friendly forecasting and anomaly detection on time series. It contains a variety of models, from classics such as ARIMA to deep neural networks.

Some of the key features of Darts include:

• A simple and intuitive interface for defining and fitting models
• Support for different types of time series data, including univariate, multivariate, and panel data
• A wide range of built-in models, including ARIMA, Exponential Smoothing, Prophet, LSTM, and TCN
• Tools for hyperparameter tuning and model selection, such as cross-validation and grid search
• Visualization tools for exploring and analyzing time series data and model outputs

Library