River

Prioritizes clarity and ease of use over raw performance, with an intuitive design for rapid development, as emphasized in the philosophy section.

Implements a wide range of algorithms, from linear models to time series forecasting, specifically tailored for streaming data, as listed in the features.

Optimized for processing individual samples quickly, making it suitable for real-time event-based contexts, noted in the key features.

Built to adapt to changing data distributions over time, ensuring model robustness in dynamic environments, a core aspect highlighted in the features.