alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
This tool helps predict future trends from historical data, such as sales figures, stock prices, or resource consumption. You input a sequence of past observations, and it automatically generates a forecast for upcoming periods. It's designed for data analysts, business intelligence professionals, and researchers who need to make informed decisions based on time-series predictions without deep statistical modeling expertise.
1,714 stars. Used by 6 other packages. Available on PyPI.
Use this if you need to quickly and accurately forecast future values from sequential data, leveraging an automated approach similar to R's `auto.arima`.
Not ideal if your data is not sequential (e.g., individual customer records) or if you require highly custom, non-ARIMA statistical models.
Stars
1,714
Forks
250
Language
Python
License
MIT
Category
Last pushed
Nov 17, 2025
Commits (30d)
0
Dependencies
10
Reverse dependents
6
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