Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Kats is a Python toolkit for time series analysis that serves as a one-stop framework for tasks such as detection, forecasting, feature extraction/embedding, and multivariate analysis. It provides more than 10 forecasting models with ensembling, meta-learning, backtesting, hyperparameter tuning, and empirical prediction intervals, along with detection of seasonality, outliers, change points, and slow trend changes. The package includes TSFeatures with 65 features for ML models and utilities like time series simulators, and it is released by Facebook's Infrastructure Data Science team and available on PyPI.
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