Nixtla Ecosystem

Powering time series forecasting across the industry. Explore the open source repositories of leading organizations that depend on Nixtla packages.

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Verified open source repositories

52.2k

Combined GitHub stars

Companies and teams using Nixtla in production

Forecasting: Principles and Practice, external link

Rob Hyndman et al.

A comprehensive open-source textbook covering forecasting methods with practical Python examples. Features Nixtla's StatsForecast library for modern time series analysis.

Time Series Forecasting Using Foundation Models, external link

Marco Peixeiro

Learn to leverage foundation models like TimeGPT for time series forecasting. Covers modern approaches to forecasting with pre-trained models.

Modern Forecasting in Practice, external link

Tim Januschowski and Jan Gasthaus

A Maven course by the former Amazon scientist covering state-of-the-art forecasting techniques and practical industry applications.

Modern Time Series Forecasting with Python, external link

Manu Joseph

Industry-ready machine learning and deep learning techniques for time series forecasting. Features hands-on examples with Nixtla packages.

Mastering Modern Time Series Forecasting, external link

Valery Manokhin

A comprehensive guide to modern forecasting methods including TimeGPT, covering both theory and practical implementations.

Open Source Dependency Diagram

Community

Learning

Forecasting: Principles and Practice, external link

Time Series Forecasting Using Foundation Models, external link

Modern Forecasting in Practice, external link

Modern Time Series Forecasting with Python, external link

Mastering Modern Time Series Forecasting, external link