OpenSTEF/openstef

Scalable machine 🤖 learning for time series forecasting.

Scalable and user friendly neural 🧠 forecasting algorithms.

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 🚀.

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.

NeuralProphet: A simple forecasting package

Lightwood is Legos for Machine Learning.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Automated Time Series Forecasting

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods