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.
1,186 stars. Used by 2 other packages. Actively maintained with 21 commits in the last 30 days. Available on PyPI.
Use this if you need to generate fast, accurate machine learning-powered forecasts for many time series simultaneously, even with very large datasets.
Not ideal if you prefer traditional statistical forecasting methods over machine learning, or only need to forecast a single time series without needing to scale.
Stars
1,186
Forks
122
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
21
Dependencies
8
Reverse dependents
2
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