skforecast/skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A flexible, intuitive and fast forecasting library
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Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Forecast what will happen, including outcomes of your decisions.
Scalable and user friendly neural :brain: forecasting algorithms.
A unified framework for machine learning with time series
TimeGPT-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 🚀.
Scalable machine 🤖 learning for time series forecasting.