neuralforecast and skforecast
These are **competitors**, as both provide Python libraries for time series forecasting, but neuralforecast focuses on scalable neural network-based approaches while skforecast leverages traditional machine learning models.
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.
About skforecast
skforecast/skforecast
Time series forecasting with machine learning models
This tool helps anyone who needs to predict future trends based on past data, such as sales managers, financial analysts, or operations planners. You input historical data, and it outputs predictions for what will happen next, like future sales or energy demand. It's designed for practitioners who want to use advanced machine learning for forecasting without needing to be an expert in every algorithm.
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