Ladbaby/PyOmniTS
🔬 A Researcher-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!
This tool helps researchers analyze and predict patterns in time series data, whether it's regularly or irregularly collected. You provide your time series dataset, and it allows you to train and evaluate various advanced models for forecasting, classification, or filling in missing data points. Scientists, data analysts, or anyone working with sequential data can use this to quickly test different approaches and compare their effectiveness.
Use this if you are a researcher or data scientist needing to experiment with many different time series models on diverse datasets, including those with irregular observations, to find the best approach for prediction or analysis.
Not ideal if you need a simple, out-of-the-box solution for basic time series forecasting without wanting to compare multiple models or delve into advanced research frameworks.
Stars
47
Forks
8
Language
Python
License
MIT
Category
Last pushed
Feb 26, 2026
Commits (30d)
0
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