mlforecast and scalecast
MLForecast is a scalable ML-focused framework for building production time series models, while Scalecast is a lighter-weight practitioner-oriented library emphasizing statistical and ensemble methods—they're competitors targeting different points on the simplicity-to-scale spectrum.
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.
About scalecast
mikekeith52/scalecast
The practitioner's forecasting library
This tool helps forecasters predict future values from time-based data. You input historical data points and their corresponding dates, and it outputs future forecasts along with evaluations of different forecasting models. It's designed for data analysts, researchers, or anyone needing to make accurate predictions from time series, especially when data is messy or complex.
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