sktime/skpro
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A python library for user-friendly forecasting and anomaly detection on time series.
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Scalable and user friendly neural :brain: forecasting algorithms.
3 captures since 2026-05-22