astrogilda/tsbootstrap

Randomization-based inference in Python

Dependence-aware block-maxima inference for severity, persistence, and design-life levels.

Extreme Value Analysis (EVA) in Python

Automatic extraction of relevant features from time series:

Module for statistical learning, with a particular emphasis on time-dependent modelling

ARCH models in Python

High-performance time series econometrics: Rust core, Python-first API — validated estimators, a 15-chapter guide, and honest inference by default

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

A toolkit for time series machine learning and deep learning