Chronax: A Jax Library for Univariate Statistical Forecasting and Conformal Inference

ArXi:2604.16719v1 Announce Type: new Time-series forecasting is central to many scientific and industrial domains, such as energy systems, climate modeling, finance, and retail. While forecasting methods have evolved from classical statistical models to automated, and neural approaches, the surrounding software ecosystem remains anchored to the traditional Python numerical stack.