skforecast/skforecast-ai

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.

Repository for Timestral, the time-series foundation model by Mistral AI

Scalable and user friendly neural 🧠 forecasting algorithms.

An open-weights time-series forecasting foundation model from The Forecasting Company.

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

Helper functions to plot, evaluate, preprocess and engineer features for forecasting

Lightning ⚡️ fast forecasting with statistical and econometric models.

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

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