Meet Kats — a one-stop shop for time series analysis

Introduced Kats, a new comprehensive Python library for generic time series analysis. Kats provides algorithms and models for forecasting (10+ models, ensembling, meta-learning, backtesting, hyperparameter tuning, prediction intervals), detection (seasonality, outlier, change point, slow trend changes), feature extraction (65 statistical features), embedding, and multivariate analysis. It also includes utilities like time series simulators. Kats aims to standardize and connect various domains within time series analysis, empowering users to explore data characteristics, predict values, monitor anomalies, and integrate these insights into ML models and pipelines.