The Nixtlaverse is composed by our open-source libraries, designed to provide a comprehensive, cutting-edge toolkit for time series forecasting. The Nixtla ecosystem is primarily built around five main libraries, each specializing in different aspects of time series forecasting:Documentation Index
Fetch the complete documentation index at: https://nixtlaverse.nixtla.io/llms.txt
Use this file to discover all available pages before exploring further.
Nixtla AI
Checkout our end-to-end Agentic AI pipeline!
TimeGPT
Checkout our Enterprise offering for time series forecasting and anomaly detection!
StatsForecast
Lightning fast forecasting with statistical and econometric models.
MLForecast
Scalable machine learning for time series forecasting.
NeuralForecast
Scalable and user friendly neural forecasting algorithms for time series data.
HierarchicalForecast
Probabilistic Hierarchical forecasting with statistical and econometric methods.
DatasetsForecast
Datasets for time series forecasting.
UtilsForecast
Forecasting utilities for plotting and robust evaluation.
CoreForecast
Fast implementations of common forecasting routines.