neuralforecast and mlforecast

These are complementary tools within the same ecosystem: NeuralForecast specializes in deep learning-based forecasting while MLForecast provides traditional machine learning approaches, allowing users to choose or combine neural and non-neural methods for the same forecasting task.

neuralforecast
81
Verified
mlforecast
76
Verified
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 21/25
Maintenance 20/25
Adoption 12/25
Maturity 25/25
Community 19/25
Stars: 4,003
Forks: 483
Downloads:
Commits (30d): 22
Language: Python
License: Apache-2.0
Stars: 1,186
Forks: 122
Downloads:
Commits (30d): 21
Language: Python
License: Apache-2.0
No risk flags
No risk flags

About neuralforecast

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

This project helps you predict future trends and values for your business or research by analyzing past data. You provide historical time series data, and it outputs precise future forecasts using advanced neural network models. This tool is ideal for data scientists, analysts, or researchers who need accurate and scalable forecasting for various real-world applications.

time-series-forecasting demand-planning financial-forecasting inventory-management resource-allocation

About mlforecast

Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

This tool helps businesses and analysts predict future trends using historical time series data. You input multiple series of past observations, like sales figures or stock prices, and it outputs predictions for future values. It's designed for data scientists, operations managers, and anyone needing accurate, scalable forecasts for business planning or resource allocation.

demand-forecasting financial-forecasting inventory-planning operations-analytics data-science

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