Overview
Darts is a premier open-source Python library developed by Unit8, engineered to streamline the end-to-end time series analysis workflow. In the 2026 market landscape, Darts stands as the industry standard for bridging the gap between traditional statistical forecasting and state-of-the-art deep learning architectures. It features a unified API inspired by scikit-learn, allowing practitioners to switch between models like ARIMA, Prophet, and N-BEATS with minimal code changes. The framework is architected for production-grade reliability, supporting both univariate and multivariate series, probabilistic forecasting, and complex covariate handling. A critical technical differentiator is its support for 'Global Models,' which enable training on thousands of different time series simultaneously to capture cross-series patterns—a necessity for modern retail and supply chain operations. Darts integrates seamlessly with the broader PyData ecosystem, leveraging PyTorch for neural networks and Ray for distributed computing. As enterprises increasingly move toward automated operational forecasting, Darts provides the essential abstraction layer required for building scalable, high-accuracy predictive pipelines without the overhead of custom-coding neural network architectures from scratch.