grimmlab/ForeTiS
Time Series Forecasting in Python
This tool helps you accurately predict future trends from your historical data. You input a time series dataset, and it provides future forecasts along with insights into which forecasting models perform best. It's ideal for data analysts, researchers, or anyone needing reliable predictions from time-stamped information.
No commits in the last 6 months. Available on PyPI.
Use this if you need to rigorously compare various forecasting models and optimize their parameters to get the most accurate predictions for your time series data.
Not ideal if you're looking for a simple, quick forecast without needing to evaluate multiple models or optimize their settings.
Stars
15
Forks
—
Language
Python
License
GPL-3.0
Category
Last pushed
Jan 24, 2025
Commits (30d)
0
Dependencies
19
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