antoinecarme/pyaf

Scalable and user friendly neural 🧠 forecasting algorithms.

Automated Time Series Forecasting

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

Time series forecasting with PyTorch

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

Lightning ⚡️ fast forecasting with statistical and econometric models.

A python library for user-friendly forecasting and anomaly detection on time series.

NeuralProphet: A simple forecasting package

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