Nixtla

Lightning ⚡️ fast forecasting with statistical and econometric models.

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....

Scalable machine 🤖 learning for time series forecasting.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Transfer 🤗 Learning for Time Series Forecasting

Forecasting: principles and practice in python

Datasets for time series forecasting

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