Nixtla/hierarchicalforecast

Scalable and user friendly neural 🧠 forecasting algorithms.

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.

Lightning ⚡️ fast forecasting with statistical and econometric models.

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 🚀.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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

Scalable machine 🤖 learning for time series forecasting.

NeuralProphet: A simple forecasting package