wwhenxuan/S2Generator
A series-symbol (S2) dual-modality data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic representations.
This tool generates high-quality, synthetic time series data paired with mathematical formulas that describe how that data was created. You input parameters for the desired characteristics of the time series and get both the numerical data and the symbolic expressions used to generate it. This is primarily for researchers and data scientists who need diverse datasets to train or test advanced time series models.
Available on PyPI.
Use this if you need to create a large volume of diverse, high-quality synthetic time series data and their underlying generative rules to pre-train or benchmark time series forecasting, classification, or anomaly detection models.
Not ideal if you are looking to analyze or forecast real-world time series data, as this tool focuses purely on synthetic data generation.
Stars
17
Forks
3
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
8
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