Darts: A New Python Library for User-Friendly Forecasting and Anomaly Detection on Time Series

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Darts is a Python library designed to simplify time series processing and forecasting. It offers a unified and consistent API for data manipulation, model fitting, forecasting, and backtesting, making it easier to switch between models without compatibility issues. Darts supports various models, including traditional methods like Exponential Smoothing and advanced neural network models like RNNs and Transformers. The library also provides tools for backtesting, model evaluation, and deep learning support, enhancing user experience and productivity in time series analysis.