statsforecast and mlforecast
These are ecosystem siblings—statsforecast specializes in statistical/econometric methods while mlforecast specializes in ML-based approaches, and both are designed by Nixtla to be used together or separately depending on whether you need traditional or machine learning forecasting techniques.
About statsforecast
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
Quickly and accurately generate future predictions from your historical business data. This tool takes in your time-stamped operational metrics (like sales, inventory levels, or website traffic) and outputs reliable forecasts along with confidence intervals. It's designed for data analysts, business intelligence professionals, and operations managers who need to make data-driven decisions based on future trends.
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.
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