winedarksea/AutoTS
Automated Time Series Forecasting
This tool helps businesses and analysts predict future trends from their historical data. You feed it one or more time series, like daily sales or stock prices, and it outputs forecasts with upper and lower bounds. It's designed for anyone who needs to make accurate predictions at scale, such as financial analysts, operations managers, or inventory planners.
1,378 stars. Used by 1 other package. Actively maintained with 57 commits in the last 30 days. Available on PyPI.
Use this if you need to rapidly generate accurate forecasts for many time series datasets without deep expertise in different forecasting models.
Not ideal if you have only a single, simple time series and prefer to manually select and fine-tune a specific model.
Stars
1,378
Forks
120
Language
Python
License
MIT
Category
Last pushed
Mar 04, 2026
Commits (30d)
57
Dependencies
4
Reverse dependents
1
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